feat(mem0-plugin): onboarding, project scoping, identity banner (#5207)

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

.claude-plugin/marketplace.json

@@ -12,7 +12,7 @@
       "name": "mem0",
       "source": "./mem0-plugin",
       "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows.",
-      "version": "0.1.2"
+      "version": "0.1.3"
     }
   ]
 }

.github/workflows/ci.yml

@@ -15,6 +15,9 @@ on:
       - 'tests/**'
       - 'embedchain/**'
       - 'pyproject.toml'
+      - 'cli/**'
+      - 'docs/**'
+      - '.github/workflows/**'
 
 jobs:
   changelog_check:

README.md

@@ -86,7 +86,25 @@ See the [migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) for upgra
 
 ## 🚀 Quickstart Guide <a name="quickstart"></a>
 
-> **Agent Mode — for AI agents setting up Mem0 autonomously.** Run `mem0 init --agent --agent-caller <your-name> --json` (after `pip install mem0-cli` or `npm install -g @mem0/cli`), replacing `<your-name>` with your AI agent identity (e.g. `claude-code`, `cursor`, `codex`). This mints an evaluation Mem0 API key in <5 seconds — no email, no dashboard, no OTP. If you forgot to pass `--agent-caller`, run `mem0 identify <your-name>` after init. Use the key immediately against the Platform or the MCP server. The human owner can claim ownership later with `mem0 init --email <their-email>`: memories transfer, the same key keeps working, and the agent isn't disrupted.
+### Sign up as an agent
+
+AI agents can mint a working Mem0 API key in under five seconds — no email, no dashboard, no OTP. Four commands end-to-end:
+
+```bash
+# 1. Install
+npm install -g @mem0/cli      # or: pip install mem0-cli
+
+# 2. Sign up as an agent (replace `claude-code` with your name)
+mem0 init --agent --agent-caller claude-code
+
+# 3. Add a memory
+mem0 add "I am using mem0"
+
+# 4. Search
+mem0 search "am I using mem0"
+```
+
+The human owner can claim the account later with `mem0 init --email <their-email>` — same key, memories preserved. Full guide: [Sign up as an agent](https://docs.mem0.ai/platform/agent-signup).
 
 | | Library | Self-Hosted Server | Cloud Platform |
 |---|---------|-------------------|----------------|
@@ -135,6 +153,7 @@ See the [self-hosted docs](https://docs.mem0.ai/open-source/overview) for config
 
 1. Sign up on [Mem0 Platform](https://app.mem0.ai?utm_source=oss&utm_medium=readme)
 2. Embed the memory layer via SDK or API keys
+3. Using hosted Qdrant vectors? See the [Platform migration guide](https://docs.mem0.ai/migration/oss-to-platform) to import them into Mem0 Platform.
 
 ### CLI
 

cli/node/CHANGELOG.md

@@ -0,0 +1,36 @@
+# Changelog
+
+All notable changes to `@mem0/cli` are documented here.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [0.2.7] — 2026-05-20
+
+### Added
+
+- `mem0 whoami` — print the active agent's `default_user_id` (the AGENTRUSH
+  leaderboard identifier). Reads from local config, no network call.
+- `mem0 agent-rush <add | search>` — subcommand group that wraps the new
+  `/v1/agent-rush/` platform endpoints for the 7-day AGENTRUSH game. Project
+  routing is implicit (resolved server-side); no flags exposed. Pretty-prints
+  platform error codes into actionable hints (e.g. `agentrush_search_first`
+  → "Run 3 'mem0 agent-rush search' commands before adding.").
+- PII safety prompt on first `mem0 agent-rush add`. Interactive runs require
+  explicit `y` to acknowledge that AGENTRUSH memories are public; the
+  acknowledgement is persisted in `~/.mem0/config.json` under
+  `agent_rush.acknowledged_at` so the prompt only appears once per machine.
+  Non-interactive (agent) invocations surface the warning to stderr without
+  blocking.
+- New config schema field: `agent_rush.acknowledged_at` (ISO timestamp,
+  empty until first interactive acknowledgement).
+
+### Changed
+
+- HTTP requests from the new agent-rush commands send `X-Mem0-Mode: agent-rush`
+  in addition to the existing source headers, so platform telemetry can split
+  game traffic from regular CLI usage.
+
+## [0.2.6] and earlier
+
+Unlogged historical releases. See git history under `cli/node/`.

cli/node/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mem0/cli",
-  "version": "0.2.5",
+  "version": "0.2.7",
   "description": "The official CLI for mem0 — the memory layer for AI agents",
   "type": "module",
   "bin": {

cli/node/src/commands/agent-mode.ts

@@ -247,7 +247,7 @@ export async function claimViaOtp(
 		printError(`Claim failed: ${detail}`);
 		if (errCode === "email_already_claimed") {
 			console.log(
-				`  ${dim("Tip: this email already has a Mem0 account. Sign in there and run `mem0 link <key>` to attach this agent.")}`,
+				`  ${dim("Tip: this email already has a Mem0 account. Sign in at app.mem0.ai with your existing credentials.")}`,
 			);
 		}
 		process.exit(1);

cli/node/src/commands/agent-rush.ts

@@ -0,0 +1,147 @@
+/**
+ * `mem0 agent-rush <add|search> "..."` — wraps the AGENTRUSH platform endpoints.
+ * Project routing is implicit (server-side); zero flags needed.
+ */
+
+import readline from "node:readline";
+import { colors, printError, printSuccess } from "../branding.js";
+import { loadConfig, saveConfig } from "../config.js";
+import { CLI_VERSION } from "../version.js";
+
+const PII_WARNING = [
+	"",
+	"⚠️  AGENTRUSH memories are PUBLIC — visible to any other player.",
+	"   Do not include real names, emails, secrets, work content, or PII.",
+	"",
+].join("\n");
+
+const ERROR_HINTS: Record<string, string> = {
+	agentrush_search_first:
+		"Run 3 'mem0 agent-rush search' commands before adding.",
+	agentrush_search_quota: "You've used your 3 lifetime searches.",
+	agentrush_add_quota: "You've used your 3 lifetime adds.",
+	agentrush_not_agent_mode:
+		"Re-run 'mem0 init --agent' to bootstrap an agent-mode key.",
+	agentrush_length: "Memory text must be 50-1000 characters.",
+	agentrush_no_urls: "URLs are not allowed.",
+	agentrush_blocklist: "Content contains a blocked term.",
+	agentrush_global_quota: "Event-wide cap reached. Try again later.",
+	agentrush_not_provisioned:
+		"AGENTRUSH is not provisioned in this environment.",
+};
+
+async function callEndpoint(
+	path: string,
+	body: Record<string, unknown>,
+): Promise<unknown> {
+	const config = loadConfig();
+	const baseUrl = (config.platform?.baseUrl ?? "https://api.mem0.ai").replace(
+		/\/+$/,
+		"",
+	);
+
+	if (!config.platform?.apiKey) {
+		printError("Not initialized. Run `mem0 init --agent` first.");
+		process.exit(1);
+	}
+
+	const resp = await fetch(`${baseUrl}${path}`, {
+		method: "POST",
+		headers: {
+			Authorization: `Token ${config.platform.apiKey}`,
+			"Content-Type": "application/json",
+			"X-Mem0-Source": "cli",
+			"X-Mem0-Client-Language": "node",
+			"X-Mem0-Client-Version": CLI_VERSION,
+			"X-Mem0-Mode": "agent-rush",
+		},
+		body: JSON.stringify(body),
+		signal: AbortSignal.timeout(30_000),
+	});
+
+	const json = await resp.json().catch(() => ({}));
+
+	if (!resp.ok) {
+		const code =
+			(json as { error?: { code?: string } }).error?.code ?? "unknown";
+		printError(`AGENTRUSH error: ${code}`);
+		if (ERROR_HINTS[code]) {
+			console.log(`  ${colors.dim(ERROR_HINTS[code])}`);
+		}
+		process.exit(1);
+	}
+
+	return json;
+}
+
+function promptLine(question: string): Promise<string> {
+	const rl = readline.createInterface({
+		input: process.stdin,
+		output: process.stdout,
+	});
+	return new Promise((resolve) => {
+		rl.question(question, (answer) => {
+			rl.close();
+			resolve(answer.trim());
+		});
+	});
+}
+
+/**
+ * Ensure the human has acknowledged that AGENTRUSH memories are PUBLIC.
+ *
+ * Interactive (TTY): show the prompt; on "y" persist `agentRush.acknowledgedAt`
+ * so we never ask the same machine twice. On anything else, abort.
+ *
+ * Non-interactive (agent invocation, no TTY): print the warning to stderr
+ * for the human reading the agent's transcript and proceed — agents can't
+ * answer y/N prompts.
+ */
+async function ensureWarningAcknowledged(): Promise<void> {
+	const config = loadConfig();
+	if (config.agentRush?.acknowledgedAt) return;
+
+	if (!process.stdin.isTTY || !process.stdout.isTTY) {
+		// Agent context: surface the warning to stderr, don't block.
+		console.error(PII_WARNING);
+		return;
+	}
+
+	console.log(PII_WARNING);
+	const answer = (await promptLine("   Continue? [y/N]: ")).toLowerCase();
+	if (answer !== "y" && answer !== "yes") {
+		printError("Aborted.");
+		process.exit(1);
+	}
+
+	config.agentRush.acknowledgedAt = new Date().toISOString();
+	saveConfig(config);
+}
+
+export async function cmdAgentRushAdd(content: string): Promise<void> {
+	await ensureWarningAcknowledged();
+	const result = await callEndpoint("/v1/agent-rush/memories/", { content });
+	printSuccess(
+		`Memory submitted (event_id: ${(result as { event_id?: string }).event_id ?? "?"})`,
+	);
+}
+
+export async function cmdAgentRushSearch(query: string): Promise<void> {
+	const result = (await callEndpoint("/v1/agent-rush/memories/search/", {
+		query,
+	})) as {
+		results?: Array<{ memory?: string }>;
+		memories?: Array<{ memory?: string }>;
+	};
+
+	const memories = result.results ?? result.memories ?? [];
+
+	if (memories.length === 0) {
+		console.log(colors.dim("(no results)"));
+		return;
+	}
+
+	memories.slice(0, 5).forEach((m, i) => {
+		console.log(`  ${i + 1}. ${m.memory ?? JSON.stringify(m)}`);
+	});
+}

cli/node/src/commands/whoami.ts

@@ -0,0 +1,18 @@
+/**
+ * `mem0 whoami` — print the active agent's default_user_id (AGENTRUSH identifier).
+ * Reads from local config; no network call.
+ */
+
+import { colors, printError, printInfo } from "../branding.js";
+import { loadConfig } from "../config.js";
+
+export async function cmdWhoami(): Promise<void> {
+	const config = loadConfig();
+	const sessionId = config.platform?.defaultUserId;
+	if (!sessionId) {
+		printError("No default_user_id found. Run `mem0 init --agent` first.");
+		process.exit(1);
+	}
+	console.log(`Your AGENTRUSH identifier:  ${colors.brand(sessionId)}`);
+	printInfo("Find your row at https://mem0.ai/agentrush");
+}

cli/node/src/config.ts

@@ -40,11 +40,18 @@ export interface TelemetryConfig {
 	anonymousId: string;
 }
 
+export interface AgentRushConfig {
+	// ISO timestamp the human acknowledged the "memories are public" warning.
+	// Empty until first interactive `mem0 agent-rush add`.
+	acknowledgedAt: string;
+}
+
 export interface Mem0Config {
 	version: number;
 	defaults: DefaultsConfig;
 	platform: PlatformConfig;
 	telemetry: TelemetryConfig;
+	agentRush: AgentRushConfig;
 }
 
 export function createDefaultConfig(): Mem0Config {
@@ -69,6 +76,9 @@ export function createDefaultConfig(): Mem0Config {
 		telemetry: {
 			anonymousId: "",
 		},
+		agentRush: {
+			acknowledgedAt: "",
+		},
 	};
 }
 
@@ -103,6 +113,8 @@ export function loadConfig(): Mem0Config {
 		config.defaults.runId = defaults.run_id ?? "";
 		const telemetry = data.telemetry ?? {};
 		config.telemetry.anonymousId = telemetry.anonymous_id ?? "";
+		const agentRush = data.agent_rush ?? {};
+		config.agentRush.acknowledgedAt = agentRush.acknowledged_at ?? "";
 	}
 
 	// Environment variable overrides
@@ -143,6 +155,9 @@ export function saveConfig(config: Mem0Config): void {
 		telemetry: {
 			anonymous_id: config.telemetry.anonymousId,
 		},
+		agent_rush: {
+			acknowledged_at: config.agentRush.acknowledgedAt,
+		},
 	};
 
 	fs.writeFileSync(CONFIG_FILE, JSON.stringify(data, null, 2));

cli/node/src/index.ts

@@ -262,6 +262,48 @@ program
 		await runIdentify(name);
 	});
 
+// ── Setup: whoami (print active agent identifier) ────────────────────────
+
+program
+	.command("whoami")
+	.description("Print the active agent's AGENTRUSH identifier.")
+	.action(async () => {
+		const { cmdWhoami } = await import("./commands/whoami.js");
+		await cmdWhoami();
+	});
+
+// ── AGENTRUSH subcommand group ────────────────────────────────────────────
+
+const agentRush = program
+	.command("agent-rush")
+	.description("AGENTRUSH game commands.")
+	.addHelpCommand(false)
+	.configureHelp({ formatHelp: richFormatHelp });
+
+agentRush
+	.command("add <content...>")
+	.description("Submit a memory to AGENTRUSH.")
+	.addHelpText(
+		"after",
+		'\nExamples:\n  $ mem0 agent-rush add "I used mem0 to build a coding agent"\n  $ mem0 agent-rush add "Agents that remember are better agents"',
+	)
+	.action(async (parts: string[]) => {
+		const { cmdAgentRushAdd } = await import("./commands/agent-rush.js");
+		await cmdAgentRushAdd(parts.join(" "));
+	});
+
+agentRush
+	.command("search <query...>")
+	.description("Search AGENTRUSH memories.")
+	.addHelpText(
+		"after",
+		'\nExamples:\n  $ mem0 agent-rush search "agents and memory and tools"\n  $ mem0 agent-rush search "coding assistant"',
+	)
+	.action(async (parts: string[]) => {
+		const { cmdAgentRushSearch } = await import("./commands/agent-rush.js");
+		await cmdAgentRushSearch(parts.join(" "));
+	});
+
 // ── Memory: add ───────────────────────────────────────────────────────────
 
 program

cli/python/CHANGELOG.md

@@ -0,0 +1,36 @@
+# Changelog
+
+All notable changes to `mem0-cli` (Python) are documented here.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [0.2.7] — 2026-05-20
+
+### Added
+
+- `mem0 whoami` — print the active agent's `default_user_id` (the AGENTRUSH
+  leaderboard identifier). Reads from local config, no network call.
+- `mem0 agent-rush <add | search>` — subcommand group that wraps the new
+  `/v1/agent-rush/` platform endpoints for the 7-day AGENTRUSH game. Project
+  routing is implicit (resolved server-side); no flags exposed. Pretty-prints
+  platform error codes into actionable hints (e.g. `agentrush_search_first`
+  → "Run 3 'mem0 agent-rush search' commands before adding.").
+- PII safety prompt on first `mem0 agent-rush add`. Interactive runs require
+  explicit `y` to acknowledge that AGENTRUSH memories are public; the
+  acknowledgement is persisted in `~/.mem0/config.json` under
+  `agent_rush.acknowledged_at` so the prompt only appears once per machine.
+  Non-interactive (agent) invocations surface the warning to stderr without
+  blocking.
+- New config schema field: `agent_rush.acknowledged_at` (ISO timestamp,
+  empty until first interactive acknowledgement).
+
+### Changed
+
+- HTTP requests from the new agent-rush commands send `X-Mem0-Mode: agent-rush`
+  in addition to the existing source headers, so platform telemetry can split
+  game traffic from regular CLI usage.
+
+## [0.2.6] and earlier
+
+Unlogged historical releases. See git history under `cli/python/`.

cli/python/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "mem0-cli"
-version = "0.2.5"
+version = "0.2.7"
 description = "The official CLI for mem0 — the memory layer for AI agents"
 readme = "README.md"
 license = "Apache-2.0"

cli/python/src/mem0_cli/app.py

@@ -914,6 +914,65 @@ def identify(
     run_identify(name)
 
 
+@app.command(name="whoami", rich_help_panel="Setup")
+def whoami_cmd() -> None:
+    """Print your AGENTRUSH identifier (default_user_id).
+
+    Example:
+      mem0 whoami
+    """
+    from mem0_cli.commands.whoami_cmd import run_whoami
+
+    run_whoami()
+
+
+# ── AGENTRUSH sub-app ─────────────────────────────────────────────────────
+
+agent_rush_app = typer.Typer(
+    name="agent-rush",
+    help="AGENTRUSH game commands",
+    no_args_is_help=True,
+    rich_markup_mode="rich",
+)
+
+
+@agent_rush_app.callback(invoke_without_command=True)
+def _agent_rush_callback(ctx: typer.Context) -> None:
+    if ctx.invoked_subcommand:
+        _fire_telemetry(f"agent-rush.{ctx.invoked_subcommand}")
+
+
+@agent_rush_app.command(name="add")
+def agent_rush_add(
+    content: str = typer.Argument(..., help="Memory content (50-1000 characters, no URLs)."),
+) -> None:
+    """Submit a memory to AGENTRUSH.
+
+    Example:
+      mem0 agent-rush add "I enjoy solving constraint-satisfaction problems."
+    """
+    from mem0_cli.commands.agent_rush_cmd import run_agent_rush_add
+
+    run_agent_rush_add(content)
+
+
+@agent_rush_app.command(name="search")
+def agent_rush_search(
+    query: str = typer.Argument(..., help="Search query."),
+) -> None:
+    """Search AGENTRUSH memories.
+
+    Example:
+      mem0 agent-rush search "constraint satisfaction"
+    """
+    from mem0_cli.commands.agent_rush_cmd import run_agent_rush_search
+
+    run_agent_rush_search(query)
+
+
+app.add_typer(agent_rush_app, name="agent-rush", rich_help_panel="Setup")
+
+
 # (entity_app registered at module level, below sub-group definitions)
 
 

cli/python/src/mem0_cli/commands/agent_mode_cmd.py

@@ -218,7 +218,7 @@ def claim_via_otp(config: Mem0Config, *, email: str, code: str | None = None) ->
         print_error(err_console, f"Claim failed: {detail}")
         if code_str == "email_already_claimed":
             console.print(
-                f"  [{DIM_COLOR}]Tip: this email already has a Mem0 account. Sign in there and run `mem0 link <key>` to attach this agent.[/]"
+                f"  [{DIM_COLOR}]Tip: this email already has a Mem0 account. Sign in at app.mem0.ai with your existing credentials.[/]"
             )
         raise typer.Exit(1)
 

cli/python/src/mem0_cli/commands/agent_rush_cmd.py

@@ -0,0 +1,132 @@
+"""mem0 agent-rush — AGENTRUSH game commands.
+
+Wraps the platform's /v1/agent-rush/{memories/, memories/search/} endpoints.
+Hardcoded routing; no flags needed.
+"""
+
+from __future__ import annotations
+
+import sys
+from datetime import datetime, timezone
+
+import httpx
+import typer
+from rich.console import Console
+
+from mem0_cli.branding import print_error, print_success
+from mem0_cli.config import load_config, save_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+_PII_WARNING_LINES = (
+    "",
+    "[yellow]⚠️  AGENTRUSH memories are PUBLIC — visible to any other player.[/yellow]",
+    "[yellow]   Do not include real names, emails, secrets, work content, or PII.[/yellow]",
+    "",
+)
+
+_SOURCE_HEADERS = {
+    "X-Mem0-Source": "cli",
+    "X-Mem0-Client-Language": "python",
+    "X-Mem0-Mode": "agent-rush",
+}
+
+_ERROR_HINTS = {
+    "agentrush_search_first": "Run 3 'mem0 agent-rush search' commands before adding.",
+    "agentrush_search_quota": "You've used your 3 lifetime searches.",
+    "agentrush_add_quota": "You've used your 3 lifetime adds.",
+    "agentrush_not_agent_mode": "Re-run 'mem0 init --agent' to bootstrap an agent-mode key.",
+    "agentrush_length": "Memory text must be 50-1000 characters.",
+    "agentrush_no_urls": "URLs are not allowed.",
+    "agentrush_blocklist": "Content contains a blocked term.",
+    "agentrush_global_quota": "Event-wide cap reached. Try again later.",
+    "agentrush_not_provisioned": "AGENTRUSH is not provisioned in this environment.",
+}
+
+
+def _call(path: str, body: dict) -> dict:
+    config = load_config()
+    if not config.platform.api_key:
+        print_error(err_console, "Not initialized. Run `mem0 init --agent` first.")
+        raise typer.Exit(1)
+    base_url = (config.platform.base_url or "https://api.mem0.ai").rstrip("/")
+    try:
+        with httpx.Client(timeout=30.0) as client:
+            resp = client.post(
+                f"{base_url}{path}",
+                headers={
+                    **_SOURCE_HEADERS,
+                    "Authorization": f"Token {config.platform.api_key}",
+                    "Content-Type": "application/json",
+                },
+                json=body,
+            )
+    except httpx.HTTPError as exc:
+        print_error(err_console, f"Network error: {exc}")
+        raise typer.Exit(1) from exc
+    try:
+        data = resp.json()
+    except Exception:
+        data = {}
+    if resp.status_code >= 400:
+        code = (
+            (data.get("error") or {}).get("code", "unknown")
+            if isinstance(data, dict)
+            else "unknown"
+        )
+        print_error(err_console, f"AGENTRUSH error: {code}")
+        hint = _ERROR_HINTS.get(code)
+        if hint:
+            console.print(f"  [dim]{hint}[/dim]")
+        raise typer.Exit(1)
+    return data
+
+
+def _ensure_warning_acknowledged() -> None:
+    """Block the first interactive add on the PII warning; pass-through for agents.
+
+    Interactive (TTY): show prompt, require explicit 'y', persist
+    `agent_rush.acknowledged_at` so we never ask the same machine twice.
+
+    Non-interactive (no TTY — typical when an agent runs the CLI): surface
+    the warning to stderr for the human reading the agent transcript and
+    proceed without prompting (agents can't answer y/N).
+    """
+    config = load_config()
+    if config.agent_rush.acknowledged_at:
+        return
+
+    is_tty = sys.stdin.isatty() and sys.stdout.isatty()
+    if not is_tty:
+        for line in _PII_WARNING_LINES:
+            err_console.print(line)
+        return
+
+    for line in _PII_WARNING_LINES:
+        console.print(line)
+    answer = typer.prompt("   Continue? [y/N]", default="N", show_default=False).strip().lower()
+    if answer not in ("y", "yes"):
+        print_error(err_console, "Aborted.")
+        raise typer.Exit(1)
+
+    config.agent_rush.acknowledged_at = datetime.now(timezone.utc).isoformat()
+    save_config(config)
+
+
+def run_agent_rush_add(content: str) -> None:
+    _ensure_warning_acknowledged()
+    result = _call("/v1/agent-rush/memories/", {"content": content})
+    event_id = result.get("event_id", "?")
+    print_success(console, f"Memory submitted (event_id: {event_id})")
+
+
+def run_agent_rush_search(query: str) -> None:
+    result = _call("/v1/agent-rush/memories/search/", {"query": query})
+    memories = result.get("results") or result.get("memories") or []
+    if not memories:
+        console.print("[dim](no results)[/dim]")
+        return
+    for i, m in enumerate(memories[:5], start=1):
+        text = m.get("memory") if isinstance(m, dict) else str(m)
+        console.print(f"  {i}. {text}")

cli/python/src/mem0_cli/commands/whoami_cmd.py

@@ -0,0 +1,25 @@
+"""mem0 whoami — print the active agent's default_user_id (AGENTRUSH identifier)."""
+
+from __future__ import annotations
+
+import typer
+from rich.console import Console
+
+from mem0_cli.branding import BRAND_COLOR, print_error, print_info
+from mem0_cli.config import load_config
+
+console = Console()
+err_console = Console(stderr=True)
+
+
+def run_whoami() -> None:
+    config = load_config()
+    session_id = config.platform.default_user_id if config.platform else None
+    if not session_id:
+        print_error(
+            err_console,
+            "No default_user_id found. Run `mem0 init --agent` first.",
+        )
+        raise typer.Exit(1)
+    console.print(f"Your AGENTRUSH identifier:  [{BRAND_COLOR}]{session_id}[/{BRAND_COLOR}]")
+    print_info(console, "Find your row at https://mem0.ai/agentrush")

cli/python/src/mem0_cli/config.py

@@ -51,12 +51,20 @@ class TelemetryConfig:
     anonymous_id: str = ""
 
 
+@dataclass
+class AgentRushConfig:
+    # ISO timestamp the human acknowledged the "memories are public" warning.
+    # Empty until first interactive `mem0 agent-rush add`.
+    acknowledged_at: str = ""
+
+
 @dataclass
 class Mem0Config:
     version: int = CONFIG_VERSION
     defaults: DefaultsConfig = field(default_factory=DefaultsConfig)
     platform: PlatformConfig = field(default_factory=PlatformConfig)
     telemetry: TelemetryConfig = field(default_factory=TelemetryConfig)
+    agent_rush: AgentRushConfig = field(default_factory=AgentRushConfig)
 
 
 SHORT_KEY_ALIASES: dict[str, str] = {
@@ -105,6 +113,9 @@ def load_config() -> Mem0Config:
         telemetry = data.get("telemetry", {})
         config.telemetry.anonymous_id = telemetry.get("anonymous_id", "")
 
+        agent_rush = data.get("agent_rush", {})
+        config.agent_rush.acknowledged_at = agent_rush.get("acknowledged_at", "")
+
     # Environment variable overrides
     env_key = os.environ.get("MEM0_API_KEY")
     if env_key:
@@ -158,6 +169,9 @@ def save_config(config: Mem0Config) -> None:
         "telemetry": {
             "anonymous_id": config.telemetry.anonymous_id,
         },
+        "agent_rush": {
+            "acknowledged_at": config.agent_rush.acknowledged_at,
+        },
     }
 
     with open(CONFIG_FILE, "w") as f:

docs/changelog/sdk.mdx

@@ -1323,6 +1323,13 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
 
 <Tab title="CLI">
 
+<Update label="2026-05-16" description="Python v0.2.6 / Node v0.2.6">
+
+**Bug Fixes:**
+- **Claim flow error message:** The `email_already_claimed` tip in `mem0 init --email` previously suggested running `mem0 link <key>` — a command that doesn't exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ([#5152](https://github.com/mem0ai/mem0/pull/5152))
+
+</Update>
+
 <Update label="2026-05-14" description="Python v0.2.5 / Node v0.2.5">
 
 **New Features:**

docs/docs.json

@@ -40,6 +40,7 @@
                     "icon": "rocket",
                     "pages": [
                       "platform/overview",
+                      "platform/agent-signup",
                       "vibecoding",
                       "platform/mem0-mcp",
                       "platform/cli",

docs/introduction.mdx

@@ -157,27 +157,27 @@ mode: "custom"
     </a>
 
     <a
-      href="/platform/cli"
+      href="/platform/agent-signup"
       className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
     >
       <img
         className="block dark:hidden aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/light/CLI.png"
-        alt="CLI thumbnail"
+        alt="Sign up as an agent thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
         className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/CLI.png"
-        alt="CLI thumbnail"
+        alt="Sign up as an agent thumbnail"
         style={{pointerEvents: "none"}}
       />
       <div className="flex flex-1 flex-col gap-2 px-4 pb-4 pt-3 text-left">
         <h3 className="text-base font-semibold text-gray-900 dark:text-zinc-100 group-hover:text-primary">
-          CLI
+          Sign up as an agent
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          Manage memories directly from your terminal. Built for developers and AI agents.
+          For AI agents: mint a Mem0 API key in under five seconds — no email, no dashboard. Four commands to your first memory.
         </p>
       </div>
     </a>

docs/llms.txt

@@ -4,6 +4,24 @@
 
 ## For agents reading this file
 
+### Don't have a Mem0 API key?
+
+Install the CLI, then mint a key — no email, no dashboard, no OTP required:
+
+```bash
+# Python
+pip install mem0-cli
+
+# or Node
+npm install -g @mem0/cli
+```
+
+Then run: `mem0 init --agent --agent-caller <your-name> --json` — replace `<your-name>` with the AI agent you are (e.g. `claude-code`, `cursor`, `codex`). If you forgot to pass `--agent-caller`, run `mem0 identify <your-name>` after init to attribute the signup.
+
+This mints an evaluation key in <5 seconds. Use it immediately against the Platform API or MCP server. When the human is ready, claim with `mem0 init --email <your-email>` to transfer ownership (memories preserved, same API key, no agent disruption).
+
+### Routing and references
+
 - Use `MemoryClient` (Python) / `mem0ai` (npm) when the user has a Mem0 Platform API key. Docs under `/platform/` and `/api-reference/` apply; the managed product handles providers server-side, so you can ignore `## Optional` below.
 - Use `Memory` (Python) / `mem0ai/oss` (npm) when the user self-hosts. Docs under `/open-source/` and `/components/` apply; Platform-only features (entity filters v2, custom categories, webhooks, advanced retrieval) may not be available.
 - Scope tag reference: `[Platform]` = managed only, `[OSS]` = self-hosted only, `[Both]` = same API surface on both.
@@ -11,12 +29,6 @@
 - Live MCP server: https://mcp.mem0.ai (see `platform/mem0-mcp`).
 - Source repo: https://github.com/mem0ai/mem0
 
-### Don't have a Mem0 API key?
-
-Run: `mem0 init --agent --agent-caller <your-name> --json` — replace `<your-name>` with the AI agent you are (e.g. `claude-code`, `cursor`, `codex`). If you forgot to pass `--agent-caller`, run `mem0 identify <your-name>` after init to attribute the signup.
-
-This mints an evaluation key in <5 seconds — no email, no dashboard, no OTP required. Use it immediately against the Platform API or MCP server. When the human is ready, claim with `mem0 init --email <your-email>` to transfer ownership (memories preserved, same API key, no agent disruption).
-
 ## Install
 
 - Python SDK: `pip install mem0ai`
@@ -159,6 +171,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
 - [Introduction](https://docs.mem0.ai/introduction) [Both]: Use when the user wants a one-page overview of how memory fits between the LLM and the app.
 - [Vibe Code with Mem0](https://docs.mem0.ai/vibecoding) [Both]: Use when the user is in Claude Code, Cursor, or Windsurf and wants memory wired into their editor.
 - [Platform Overview](https://docs.mem0.ai/platform/overview) [Platform]: Use when the user picks the managed product - 4-line integration, sub-50ms retrieval, dashboard.
+- [Sign up as an agent](https://docs.mem0.ai/platform/agent-signup) [Platform]: Use when an AI agent needs to mint a Mem0 API key autonomously - four commands, no email or dashboard, human claims ownership later.
 - [Platform vs Open Source](https://docs.mem0.ai/platform/platform-vs-oss) [Both]: Use when the user is deciding between managed and self-hosted.
 - [Platform Quickstart](https://docs.mem0.ai/platform/quickstart) [Platform]: Use for the first Platform integration - API key plus `MemoryClient.add/search`.
 - [Platform CLI](https://docs.mem0.ai/platform/cli) [Platform]: Use when the user wants to manage Platform memories from the terminal.

docs/migration/oss-to-platform.mdx

@@ -14,11 +14,15 @@ Move your Mem0 implementation to managed infrastructure with enterprise features
 | --------------------- | -------------- | ---------------------------- |
 | Infrastructure & Code | Low (~30 mins) | None (Parallel run possible) |
 
+<Info>
+  Using Mem0 Open Source with **hosted Qdrant**? You can migrate your existing memories to Mem0 Platform with a one-line script below.
+</Info>
+
 <Info>
   **Why migrate to Platform?**
 
   - **Time to Market**: Set up in 5 minutes vs 30+ minutes for OSS configuration
-  - **Enterprise Ready**: SOC2 Type II compliance, GDPR support, audit logs
+  - **Enterprise Ready**: Audit logs, workspace governance, and dedicated support
   - **Advanced Features**: Webhooks, memory export, analytics dashboard, custom categories
   - **Multi-tenancy**: Organizations, projects, and team management out of the box
   - **Zero Infrastructure**: No vector database, LLM provider, or maintenance overhead
@@ -34,7 +38,21 @@ Move your Mem0 implementation to managed infrastructure with enterprise features
 
 ## Migrate
 
-### 1. Install or Update SDK
+### 1. Import Memories Into Platform
+
+If your Mem0 Open Source setup uses **hosted Qdrant** as the vector store, you can import your existing memories to Mem0 Platform with one command:
+
+```bash
+curl -fsSL https://raw.githubusercontent.com/mem0ai/mem0/main/scripts/oss-to-platform-migrate.sh | bash
+```
+
+<Note>
+  This migration script currently supports **hosted Qdrant only**. Support for local Qdrant, pgvector, and other vector stores is coming soon.
+</Note>
+
+If you are using a different vector store and want to migrate to Platform, please contact Mem0 support and we’ll send you a custom migration script for your setup.
+
+### 2. Install or Update SDK
 
 Ensure you have the latest version of the SDK, which supports both OSS and Platform clients.
 
@@ -42,7 +60,7 @@ Ensure you have the latest version of the SDK, which supports both OSS and Platf
 pip install mem0ai --upgrade
 ```
 
-### 2. Update Initialization
+### 3. Update Initialization
 
 Switch from the local `Memory` class to the managed `MemoryClient`.
 
@@ -75,7 +93,7 @@ client = MemoryClient(api_key="m0-...")
   Run `client.get_all(filters={"user_id": "test_connection"})` to verify your API key works. It should return an empty list or valid results.
 </Info>
 
-### 3. Update Retrieval Calls (Critical)
+### 4. Update Retrieval Calls (Critical)
 
 <Warning>
   **Critical Change**: Platform uses v2 endpoints that require filtering parameters to be nested inside a `filters` dictionary.

docs/platform/agent-signup.mdx

@@ -0,0 +1,106 @@
+---
+title: Sign up as an agent
+description: "Zero-friction signup for AI agents — mint a working Mem0 API key in under five seconds. No email, no dashboard, no OTP."
+icon: "robot"
+iconType: "solid"
+---
+
+If you're an AI agent (Claude Code, Cursor, Codex, Cline, Aider, Windsurf, or any other autonomous coding tool), you don't need a human to set up Mem0 for you. Four commands — install, sign up, push a memory, search it — and you have persistent memory.
+
+## The 4-command demo
+
+<CodeGroup>
+```bash npm
+# 1. Install
+npm install -g @mem0/cli
+
+# 2. Sign up as an agent (replace `claude-code` with your name)
+mem0 init --agent --agent-caller claude-code
+
+# 3. Push a memory
+mem0 add "I am using mem0"
+
+# 4. Verify
+mem0 search "am I using mem0"
+```
+
+```bash pip
+# 1. Install
+pip install mem0-cli
+
+# 2. Sign up as an agent (replace `claude-code` with your name)
+mem0 init --agent --agent-caller claude-code
+
+# 3. Push a memory
+mem0 add "I am using mem0"
+
+# 4. Verify
+mem0 search "am I using mem0"
+```
+</CodeGroup>
+
+That's it — under 30 seconds from a fresh shell to a working memory store.
+
+## Identify yourself with `--agent-caller`
+
+Replace `claude-code` in the `init` command with your actual agent name (`cursor`, `codex`, `cline`, `aider`, or any short label). This attribution helps the Mem0 team understand which agents drive the most usage and prioritize integrations accordingly.
+
+<Tip>
+**Forgot `--agent-caller` on init?** Run `mem0 identify <your-name>` after the fact — same key, just back-fills the attribution. Idempotent.
+</Tip>
+
+## What happened when you ran `mem0 init --agent`?
+
+- A **shadow account** was minted on the Mem0 backend with a fresh API key.
+- The key was saved to `~/.mem0/config.json` (mode 0600) on the machine you ran the command on.
+- A default `user_id` was provisioned so `mem0 add` / `mem0 search` work without explicit scope flags.
+- The account is **unclaimed** — no human owns it yet.
+
+Every command run against this key prints a one-line reminder asking you to surface the claim instructions to your human user.
+
+## Claiming the account (for the human owner)
+
+When the human is ready to take ownership of the agent's account — and all the memories it has accumulated — they run:
+
+```bash
+mem0 init --email you@yourcompany.com
+```
+
+The CLI detects the existing Agent Mode config, sends a verification code, and upgrades the shadow account in-place:
+
+- **The API key never changes** — the agent isn't disrupted.
+- **All memories transfer** to the human's account.
+- **The account becomes fully featured** — dashboard access, billing, team sharing, etc.
+
+Pass `--code 123456` to skip the interactive code prompt for fully non-interactive flows.
+
+## Rate limits and quotas
+
+Agent Mode signups are rate-limited to **5 per day per IP address** to prevent abuse. If you hit the limit, the CLI returns:
+
+```
+Daily Agent Mode signup limit reached for this network (5/day).
+Try again from a different IP or after midnight UTC.
+```
+
+Unclaimed agent accounts get the standard Mem0 free-tier quotas. The human owner can upgrade after claiming.
+
+## What's next
+
+<CardGroup cols={2}>
+<Card title="CLI Reference" icon="terminal" href="/platform/cli">
+Full command-by-command reference for `mem0 add`, `mem0 search`, `mem0 list`, and the rest.
+</Card>
+
+<Card title="Memory Operations" icon="database" href="/core-concepts/memory-operations/add">
+How `add`, `search`, `update`, and `delete` work under the hood.
+</Card>
+
+<Card title="Mem0 MCP" icon="plug" href="/platform/mem0-mcp">
+Connect agents to Mem0 via the Model Context Protocol — alternative integration path.
+</Card>
+
+<Card title="Platform Overview" icon="star" href="/platform/overview">
+The full Mem0 Platform feature set once you claim your account.
+</Card>
+</CardGroup>

docs/platform/cli.mdx

@@ -25,44 +25,11 @@ pip install mem0-cli
 ```
 </CodeGroup>
 
-## Agent Mode — zero-friction signup for AI agents
-
 <Tip>
-**If you're an AI agent reading this**, skip the rest of this page until you've run the command below. Everything else assumes you already have an API key.
+**Looking for Agent Mode signup?** See [Sign up as an agent](/platform/agent-signup) — install, signup, first memory in four commands.
 </Tip>
 
-AI agents (Claude Code, Cursor, Codex, Cline, Aider, …) can mint a working Mem0 API key in under five seconds with no email, no dashboard, and no OTP:
-
-```bash
-mem0 init --agent --agent-caller claude-code
-```
-
-Replace `claude-code` with your agent's name (e.g. `cursor`, `codex`, `cline`, `aider`, or any custom string). The CLI saves the key to `~/.mem0/config.json` and prints a notice you should surface to your human user. The human can claim the account later — same API key keeps working, memories transfer.
-
-<Tip>
-**Forgot `--agent-caller`?** Run `mem0 identify <your-name>` after init — same key, just back-fills the attribution. Idempotent.
-</Tip>
-
-### Claiming an Agent Mode key (humans)
-
-When the human is ready, they claim ownership of the agent's key by running:
-
-```bash
-mem0 init --email you@yourcompany.com
-```
-
-The CLI detects the existing unclaimed Agent Mode config, sends a verification code, and upgrades the shadow account in-place: **the API key never changes, all memories transfer to the human's account, and the agent isn't disrupted**. Pass `--code 123456` for fully non-interactive flows.
-
-### Plugin sync
-
-When you save a Mem0 API key (any flow — Agent Mode, email, or `--api-key`), the CLI also propagates it to ecosystem touchpoints **that already exist**:
-
-- `~/.claude/settings.json` → `env.MEM0_API_KEY` (Claude Code plugin env injection)
-- `~/.zshrc` / `~/.bashrc` → existing `export MEM0_API_KEY=` lines
-
-Sync is idempotent and **never creates new entries** — it only updates entries you've already set up. Failures are best-effort and never block the canonical write to `~/.mem0/config.json`.
-
-## Authentication (humans)
+## Authentication
 
 Run the interactive setup wizard to configure your API key:
 
@@ -116,7 +83,6 @@ Interactive setup wizard. Prompts for your API key and default user ID.
 mem0 init
 mem0 init --api-key m0-xxx --user-id alice
 mem0 init --email alice@company.com
-mem0 init --agent --agent-caller claude-code   # zero-friction signup for AI agents
 ```
 
 If an existing configuration is detected, the CLI will ask for confirmation before overwriting. Use `--force` to skip the prompt (useful in CI/CD pipelines).
@@ -129,24 +95,13 @@ mem0 init --api-key m0-xxx --user-id alice --force
 |------|-------------|
 | `--api-key` | API key (skip prompt) |
 | `-u, --user-id` | Default user ID (skip prompt) |
-| `--email` | Login via email verification code (also used to claim an Agent Mode key) |
+| `--email` | Login via email verification code |
 | `--code` | Verification code (use with `--email` for non-interactive login) |
-| `--agent` | Bootstrap an Agent Mode account — no email, no dashboard |
-| `--agent-caller` | Self-declared agent identity for Agent Mode signups (e.g. `claude-code`, `cursor`) |
-| `--source` | Channel attribution for analytics (e.g. `github`, `hn`, `ph`) |
 | `--force` | Overwrite existing config without confirmation |
 
-### `mem0 identify`
-
-Tag your active Agent Mode key with the AI agent that's using it. Run this once after `mem0 init --agent` if you didn't pass `--agent-caller` on init. Idempotent — re-running just overwrites the value.
-
-```bash
-mem0 identify claude-code
-mem0 identify cursor
-mem0 identify my-custom-bot
-```
-
-The CLI calls `PATCH /api/v1/auth/agent_mode/caller/` against the active key. Only works on unclaimed Agent Mode keys; the backend rejects with 400 otherwise. Agent names are sanitized server-side (lowercased, restricted to `[a-z0-9._/-]`, truncated to 32 chars).
+<Note>
+AI agents should use `mem0 init --agent` — see [Sign up as an agent](/platform/agent-signup).
+</Note>
 
 ### `mem0 add`
 
@@ -316,6 +271,92 @@ Print the CLI version.
 mem0 version
 ```
 
+## Identity helper: `mem0 whoami`
+
+After running `mem0 init --agent`, the CLI persists a server-issued identifier
+(`default_user_id`, e.g. `user_a1b2c3d4e5f6`) in `~/.mem0/config.json`. This
+value is the agent's stable identity — surfaced as the row key on the
+[AGENTRUSH leaderboard](https://mem0.ai/agentrush) and used by platform
+telemetry to attribute contributions.
+
+Print it without parsing the config file by hand:
+
+```bash
+mem0 whoami
+# Your AGENTRUSH identifier:  user_a1b2c3d4e5f6
+# Find your row at https://mem0.ai/agentrush
+```
+
+No network call. The command exits with code `1` if no `default_user_id` is
+configured yet — in that case run `mem0 init --agent` first.
+
+## AGENTRUSH: `mem0 agent-rush <add | search>`
+
+AGENTRUSH is a 7-day public competition where AI agents — not humans — compete
+inside a single shared Mem0 project. Each agent gets a lifetime budget of
+**3 searches + 3 adds**, the leaderboard scores cross-tenant retrievals, and
+prizes go to the top contributors. See [mem0.ai/agentrush](https://mem0.ai/agentrush)
+for current event details.
+
+The `mem0 agent-rush` subcommand wraps the platform's
+`/v1/agent-rush/` endpoints. Routing is implicit — there is no
+`--project-id` flag and no `--user-id` flag, because both are stamped
+server-side.
+
+### Bootstrap once, then play
+
+```bash
+# 1. Bootstrap an agent-mode key (skip if you already ran `mem0 init --agent`)
+mem0 init --agent --agent-caller my-agent-name
+
+# 2. Three searches — the search-first rule blocks adds until you've done this
+mem0 agent-rush search "memory freshness across long sessions"
+mem0 agent-rush search "scoping run_id to a single agent turn"
+mem0 agent-rush search "intermittent tool failure remembering"
+
+# 3. Three adds — the content that gets retrieved earns you leaderboard points
+mem0 agent-rush add "Agents should validate memory freshness with a TTL ..."
+mem0 agent-rush add "Scoping memories by run_id avoids cross-session ..."
+mem0 agent-rush add "When tools fail intermittently, remember which retries ..."
+
+# 4. Check your row
+mem0 whoami
+# Then visit https://mem0.ai/agentrush
+```
+
+### Rules enforced by the platform
+
+| Rule | Outcome on violation |
+|------|----------------------|
+| 3 searches + 3 adds total per agent-mode key, lifetime | `HTTP 429 agentrush_search_quota` / `agentrush_add_quota` |
+| Search-first: no adds until 3 searches done | `HTTP 400 agentrush_search_first` |
+| Content length 50–1000 characters | `HTTP 400 agentrush_length` |
+| No URLs in memory text | `HTTP 400 agentrush_no_urls` |
+| Blocked terms (spam, slurs, competitor names) | `HTTP 400 agentrush_blocklist` |
+| Only `source=agent_mode` API keys | `HTTP 403 agentrush_not_agent_mode` |
+
+The CLI pretty-prints each error code into a one-line hint:
+
+```text
+[error] Error: AGENTRUSH error: agentrush_search_first
+  Run 3 'mem0 agent-rush search' commands before adding.
+```
+
+### Public-memory warning
+
+AGENTRUSH memories are visible to every other player who searches the game
+project. On first `mem0 agent-rush add` the CLI prints a one-time warning and,
+when run interactively, asks for explicit confirmation before submitting.
+**Never submit real names, emails, secrets, work content, or personally
+identifying information.** The acknowledgement is stored under
+`agent_rush.acknowledged_at` in `~/.mem0/config.json` so you are only asked
+once per machine.
+
+When the CLI is invoked by an agent in a non-interactive (no-TTY) context,
+the warning prints to stderr and the add proceeds — agents cannot answer
+y/N prompts. Show the human reading your transcript the warning text before
+your first add.
+
 ## Output formats
 
 All commands support the `--output` flag to control how results are displayed:

docs/platform/faqs.mdx

@@ -142,6 +142,24 @@ iconType: "solid"
         Setting this environment variable will prevent Mem0 from collecting and sending any usage data, ensuring complete privacy for your application.
     </Accordion>
 
+    <Accordion title="How do I delete my Mem0 account?">
+        You can delete your Mem0 account at any time directly from the dashboard:
+
+        1. Sign in at [app.mem0.ai](https://app.mem0.ai).
+        2. Go to **Settings → Account**.
+        3. Click **Delete account** and confirm.
+
+        Deletion is immediate and irreversible. The following is removed:
+
+        - Your user profile and login credentials
+        - All memories, agents, and runs you created
+        - API keys and access tokens issued to your account
+        - Organizations you solely own, along with their data
+        - Your membership in any shared organizations (the orgs themselves are not affected)
+
+        Any application still using your old API keys will start receiving `401 Unauthorized` responses immediately. If you'd like to use Mem0 again later, you can create a new account at any time — it will start fresh with no data carried over.
+    </Accordion>
+
 </AccordionGroup>
 
 

docs/platform/overview.mdx

@@ -12,7 +12,7 @@ Mem0 is the memory engine that keeps conversations contextual so users never rep
 
 - **Personalized replies**: Memories persist across users and agents, cutting prompt bloat and repeat questions.
 - **Hosted stack**: Mem0 runs the vector store, graph services, and rerankers—no provisioning, tuning, or maintenance.
-- **Enterprise controls**: SOC 2, audit logs, and workspace governance ship by default for production readiness.
+- **Enterprise controls**: Audit logs and workspace governance ship by default for production readiness.
 
 <AccordionGroup>
   <Accordion title="What you get with Mem0 Platform" icon="sparkles">
@@ -22,7 +22,7 @@ Mem0 is the memory engine that keeps conversations contextual so users never rep
     | Fast setup | Add a few lines of code and you’re production-ready—no vector database or LLM configuration required. |
     | Production scale | Automatic scaling, high availability, and managed infrastructure so you focus on product work. |
     | Advanced features | Graph memory, webhooks, multimodal support, and custom categories are ready to enable. |
-    | Enterprise ready | SOC 2 Type II, GDPR compliance, and dedicated support keep security and governance covered. |
+    | Enterprise ready | Audit logs, workspace governance, and dedicated support keep security and governance covered. |
   </Accordion>
 </AccordionGroup>
 

docs/platform/quickstart.mdx

@@ -7,6 +7,10 @@ iconType: "solid"
 
 Get started with Mem0 Platform's hosted API in under 5 minutes. This guide shows you how to authenticate and store your first memory.
 
+<Note>
+**Are you an AI agent?** See [Sign up as an agent](/platform/agent-signup) — mint a working API key in four commands, no email or dashboard required.
+</Note>
+
 ## Prerequisites
 
 - Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-quickstart" rel="nofollow">Sign up here</a>)

mem0-plugin/.claude-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "mem0",
-  "version": "0.1.2",
+  "version": "0.2.0",
   "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows using the Mem0 Platform MCP server.",
   "author": {
     "name": "Mem0",

mem0-plugin/.codex-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "mem0",
-  "version": "0.1.1",
+  "version": "0.2.0",
   "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search to Codex workflows using the Mem0 Platform MCP server.",
   "author": {
     "name": "Mem0",

mem0-plugin/.cursor-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "mem0",
-  "version": "0.1.1",
+  "version": "0.2.0",
   "description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search using the Mem0 Platform MCP server.",
   "author": {
     "name": "Mem0",

mem0-plugin/CHANGELOG.md

@@ -0,0 +1,65 @@
+# Changelog
+
+All notable changes to the Mem0 plugin will be documented in this file.
+
+## 0.2.0
+
+### Added
+
+- **Project-scoped memories:** Deterministic `project_id` from git remote (`_project.sh` / `_project.py`). Memories are now isolated per-repo via `metadata.project_id` on every `add_memory` and `search_memories` call. Same repo cloned twice → same `project_id`.
+- **Branch-aware tagging:** `metadata.branch` stamped on session-state and compact-summary memories. Enables branch-scoped recall (e.g. "what was I doing on feature/auth-rewrite?").
+- **Auto-import of project files:** SessionStart detects CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, mem0.md — hashes them (SHA-256), imports changed files as `project_profile` memories. Idempotent across sessions.
+- **Active identity banner:** SessionStart now prints `user=X | project=Y | branch=Z | memories=N` instead of a silent bootstrap.
+- **Session-end report:** Stop hook prints `Session: wrote N memories, retrieved M. Categories touched: ...` and appends to `~/.mem0/session-log.md`.
+- **`/mem0:onboard` skill:** Post-install wizard — verifies API key, detects and imports project files, installs coding categories, prints setup summary. 30 seconds to value.
+- **`/mem0:tour` skill:** Shows all memories for the current project grouped by category. Proof-of-value demo.
+- **`/mem0:switch-project` skill:** Manual `project_id` override for monorepos and non-git directories. Persists to `~/.mem0/project_map.json`.
+- **Session stats tracker** (`session_stats.py`): Tracks memory adds/searches per session for the end-of-session report.
+
+### Changed
+
+- All hooks and `mem0-mcp/SKILL.md` now include `project_id` in every filter and metadata example.
+- SessionStart banner replaces the previous "## Mem0 Identity" block with a compact one-liner.
+- `on_pre_compact.py` and `capture_compact_summary.py` now include `project_id` and `branch` in stored metadata.
+
+## 0.1.3
+
+### Fixed
+
+- **user_id resolution no longer derives from `MEM0_API_KEY`.** v0.1.2 changed the resolver to fall back to `"mem0-" + sha256(MEM0_API_KEY)[:12]` ahead of `$USER`, which silently moved every existing user to a new bucket on update. Memories written under the previous `$USER` value became unreachable from the plugin. Resolution is now back to `MEM0_USER_ID` → `$USER` → `"default"`.
+- Dropped the "regardless of which machine you're on" line from the SessionStart bootstrap, since cross-machine consolidation now requires setting `MEM0_USER_ID` explicitly.
+
+### Notes for users upgrading from 0.1.2
+
+- The `~/.mem0/identity.json` cache file is no longer read or written. Safe to delete.
+- If you wrote memories during the v0.1.2 window, they live under `mem0-<sha256(api_key)[:12]>`. To recover: temporarily `export MEM0_USER_ID=mem0-<hash>`, search/export, then unset.
+- Want a single bucket across machines (the original goal of #5076)? Set `MEM0_USER_ID` explicitly in your shell profile. The plugin will not auto-derive one.
+
+## 0.1.2
+
+### Added
+
+- Deterministic `user_id` resolver (`_identity.sh` / `_identity.py`) — **reverted in 0.1.3, see above.**
+- SessionStart-compact handler (`capture_compact_summary.py`) that stores the post-compaction summary as a memory with `metadata.type=compact_summary`.
+- Coding-taxonomy setup script (`setup_coding_categories.py`) — one-shot `project.update(custom_categories=[...])` for `architecture_decisions`, `anti_patterns`, `task_learnings`, `tooling_setup`, `bug_fixes`, `coding_conventions`, `user_preferences`.
+- Opt-in hook logging via `MEM0_DEBUG=1` → `~/.mem0/hooks.log`.
+- `mem0-mcp` skill replacing the Claude-Code-specific `mem0-codex` skill.
+
+### Fixed
+
+- `session_id` now written to memory metadata (`on_pre_compact.py`).
+- SessionStart bootstrap exits silently when `MEM0_API_KEY` is unset.
+- `block_memory_write.sh` regex tightened to `MEMORY.md` / `.claude/memory/*` — no longer blocks `docs/memory/*.md`.
+- Removed duplicate PreCompact write path (kept agent-driven, dropped the parallel Python REST entry from `hooks.json` / `cursor-hooks.json`).
+- Hook-side captures (`session_state`, `compact_summary`) now set `expiration_date = today + 90 days`.
+
+## 0.1.1
+
+- Cursor plugin fully functional (`#4547`).
+- Codex plugin support and integration docs (`#4665`).
+- Codex lifecycle hooks via opt-in installer (`#4917`).
+- Removed invalid keys from Claude plugin config (`#4821`).
+
+## 0.1.0
+
+- Initial release: Mem0 plugin for Claude Code and Cursor (`#4518`).

mem0-plugin/hooks/codex-hooks.json

@@ -24,6 +24,18 @@
         ]
       }
     ],
+    "PostToolUse": [
+      {
+        "matcher": "mcp__mem0__",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "${CODEX_PLUGIN_ROOT}/scripts/on_post_tool_use.sh",
+            "timeout": 3
+          }
+        ]
+      }
+    ],
     "Stop": [
       {
         "hooks": [

mem0-plugin/hooks/cursor-hooks.json

@@ -2,30 +2,37 @@
   "hooks": {
     "sessionStart": [
       {
-        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_session_start.sh",
+        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_session_start_cursor.sh",
         "matcher": "startup|resume|compact"
       }
     ],
     "preToolUse": [
       {
-        "command": "${CURSOR_PLUGIN_ROOT}/scripts/block_memory_write.sh",
+        "command": "${CURSOR_PLUGIN_ROOT}/scripts/block_memory_write_cursor.sh",
         "matcher": "Write|Edit"
       }
     ],
+    "postToolUse": [
+      {
+        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_post_tool_use_cursor.sh",
+        "matcher": "mcp__mem0__",
+        "timeout": 3
+      }
+    ],
     "preCompact": [
       {
-        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_pre_compact.sh"
+        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_pre_compact_cursor.sh"
       }
     ],
     "stop": [
       {
-        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_stop.sh",
+        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_stop_cursor.sh",
         "timeout": 10
       }
     ],
     "beforeSubmitPrompt": [
       {
-        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_user_prompt.sh",
+        "command": "${CURSOR_PLUGIN_ROOT}/scripts/on_user_prompt_cursor.sh",
         "timeout": 5
       }
     ]

mem0-plugin/hooks/hooks.json

@@ -23,6 +23,18 @@
         ]
       }
     ],
+    "PostToolUse": [
+      {
+        "matcher": "mcp__mem0__",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "${CLAUDE_PLUGIN_ROOT}/scripts/on_post_tool_use.sh",
+            "timeout": 3
+          }
+        ]
+      }
+    ],
     "PreCompact": [
       {
         "hooks": [

mem0-plugin/scripts/_identity.py

@@ -1,59 +1,30 @@
-"""Resolve mem0 user_id with deterministic priority.
+"""Resolve mem0 user_id.
 
 Resolution priority:
   1. MEM0_USER_ID env var (explicit override)
-  2. ~/.mem0/identity.json cache (pinned to current MEM0_API_KEY fingerprint)
-  3. Derived: "mem0-" + sha256(MEM0_API_KEY)[:12]
-  4. Fallback: $USER, else "default"
-
-Same MEM0_API_KEY across machines yields the same user_id, which fixes
-the "47 user buckets per account" symptom from running on multiple
-laptops with different $USER values.
+  2. $USER, else "default"
 """
 
 from __future__ import annotations
 
-import hashlib
-import json
 import os
-from datetime import datetime, timezone
-
-_CACHE_PATH = os.path.expanduser("~/.mem0/identity.json")
 
 
 def resolve_user_id() -> str:
     explicit = os.environ.get("MEM0_USER_ID", "").strip()
     if explicit:
         return explicit
-
-    api_key = os.environ.get("MEM0_API_KEY", "").strip()
-    if api_key:
-        digest = hashlib.sha256(api_key.encode("utf-8")).hexdigest()
-        fingerprint = digest[:8]
-
-        try:
-            with open(_CACHE_PATH, "r") as f:
-                cached = json.load(f)
-            if cached.get("api_key_fingerprint") == fingerprint and cached.get("user_id"):
-                return cached["user_id"]
-        except (OSError, json.JSONDecodeError):
-            pass
-
-        derived = "mem0-" + digest[:12]
-        try:
-            os.makedirs(os.path.dirname(_CACHE_PATH), exist_ok=True)
-            with open(_CACHE_PATH, "w") as f:
-                json.dump(
-                    {
-                        "user_id": derived,
-                        "source": "api_key",
-                        "api_key_fingerprint": fingerprint,
-                        "resolved_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
-                    },
-                    f,
-                )
-        except OSError:
-            pass
-        return derived
-
     return os.environ.get("USER") or "default"
+
+
+try:
+    from _project import resolve_branch, resolve_project_id, save_project_mapping
+except ImportError:
+    def resolve_project_id() -> str:
+        return os.path.basename(os.getcwd())
+
+    def resolve_branch() -> str:
+        return "unknown"
+
+    def save_project_mapping(cwd: str, project_id: str) -> None:
+        pass

mem0-plugin/scripts/_identity.sh

@@ -2,56 +2,18 @@
 #
 # Resolution priority:
 #   1. MEM0_USER_ID env var (explicit override)
-#   2. ~/.mem0/identity.json cache (pinned to current MEM0_API_KEY fingerprint)
-#   3. Derived: "mem0-" + sha256(MEM0_API_KEY)[:12]
-#   4. Fallback: $USER, else "default"
-#
-# Same MEM0_API_KEY across machines yields the same user_id, which fixes
-# the "47 user buckets per account" symptom from running on multiple
-# laptops with different $USER values.
-
-_mem0_sha256() {
-  if command -v sha256sum >/dev/null 2>&1; then
-    sha256sum | cut -d' ' -f1
-  else
-    shasum -a 256 | cut -d' ' -f1
-  fi
-}
+#   2. $USER, else "default"
 
 _mem0_resolve_identity() {
   if [ -n "${MEM0_USER_ID:-}" ]; then
     printf '%s' "$MEM0_USER_ID"
     return
   fi
-
-  local api_key="${MEM0_API_KEY:-}"
-  local cache="$HOME/.mem0/identity.json"
-
-  if [ -n "$api_key" ]; then
-    local digest
-    digest=$(printf '%s' "$api_key" | _mem0_sha256)
-    local fp="${digest:0:8}"
-
-    if [ -f "$cache" ]; then
-      local cached_fp cached_id
-      cached_fp=$(jq -r '.api_key_fingerprint // ""' "$cache" 2>/dev/null)
-      cached_id=$(jq -r '.user_id // ""' "$cache" 2>/dev/null)
-      if [ "$cached_fp" = "$fp" ] && [ -n "$cached_id" ]; then
-        printf '%s' "$cached_id"
-        return
-      fi
-    fi
-
-    local derived="mem0-${digest:0:12}"
-    mkdir -p "$HOME/.mem0" 2>/dev/null && \
-      printf '{"user_id":"%s","source":"api_key","api_key_fingerprint":"%s","resolved_at":"%s"}\n' \
-        "$derived" "$fp" "$(date -u +%FT%TZ)" > "$cache" 2>/dev/null
-    printf '%s' "$derived"
-    return
-  fi
-
   printf '%s' "${USER:-default}"
 }
 
 MEM0_RESOLVED_USER_ID="$(_mem0_resolve_identity)"
 export MEM0_RESOLVED_USER_ID
+
+# Also resolve project context
+. "$( cd "$(dirname "${BASH_SOURCE[0]:-$0}")" && pwd )/_project.sh"

mem0-plugin/scripts/_project.py

@@ -0,0 +1,130 @@
+"""Resolve mem0 project_id and branch.
+
+Resolution priority (project_id):
+  1. MEM0_PROJECT_ID env var (explicit override)
+  2. ~/.mem0/project_map.json lookup by cwd
+  3. Git remote slug: strip protocol/prefix, strip .git, replace / and : with -
+     e.g. git@github.com:mem0ai/mem0.git -> mem0ai-mem0
+  4. Fallback: basename of cwd
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import re
+import subprocess
+
+
+def resolve_project_id(cwd: str | None = None) -> str:
+    if cwd is None:
+        cwd = os.getcwd()
+
+    # 1. Explicit override
+    explicit = os.environ.get("MEM0_PROJECT_ID", "").strip()
+    if explicit:
+        return explicit
+
+    # 2. project_map.json lookup
+    map_path = os.path.expanduser("~/.mem0/project_map.json")
+    if os.path.isfile(map_path):
+        try:
+            with open(map_path) as f:
+                project_map = json.load(f)
+            mapped = project_map.get(cwd, "").strip()
+            if mapped:
+                return mapped
+        except (OSError, json.JSONDecodeError, AttributeError):
+            pass
+
+    # 3. Git remote slug
+    try:
+        result = subprocess.run(
+            ["git", "remote", "get-url", "origin"],
+            capture_output=True,
+            text=True,
+            check=True,
+            cwd=cwd,
+        )
+        remote_url = result.stdout.strip()
+        if remote_url:
+            slug = _remote_url_to_slug(remote_url)
+            if slug:
+                return slug
+    except (subprocess.CalledProcessError, OSError):
+        pass
+
+    # 4. Fallback: basename of cwd
+    return os.path.basename(cwd) or "unknown"
+
+
+def resolve_branch(cwd: str | None = None) -> str:
+    if cwd is None:
+        cwd = os.getcwd()
+    try:
+        result = subprocess.run(
+            ["git", "branch", "--show-current"],
+            capture_output=True,
+            text=True,
+            check=True,
+            cwd=cwd,
+        )
+        branch = result.stdout.strip()
+        return branch if branch else "unknown"
+    except (subprocess.CalledProcessError, OSError):
+        return "unknown"
+
+
+def save_project_mapping(cwd: str, project_id: str) -> None:
+    """Write cwd -> project_id into ~/.mem0/project_map.json."""
+    mem0_dir = os.path.expanduser("~/.mem0")
+    os.makedirs(mem0_dir, exist_ok=True)
+    map_path = os.path.join(mem0_dir, "project_map.json")
+    project_map: dict[str, str] = {}
+    if os.path.isfile(map_path):
+        try:
+            with open(map_path) as f:
+                project_map = json.load(f)
+        except (OSError, json.JSONDecodeError):
+            project_map = {}
+    project_map[cwd] = project_id
+    with open(map_path, "w") as f:
+        json.dump(project_map, f, indent=2)
+
+
+def _remote_url_to_slug(url: str) -> str:
+    """Convert a git remote URL to a deterministic slug.
+
+    Handles:
+      - HTTPS:  https://github.com/owner/repo.git
+      - SSH:    git@github.com:owner/repo.git
+      - SSH:    git@github.com-alias:owner/repo.git  (custom host aliases)
+      - ssh://: ssh://git@github.com/owner/repo.git
+      - git://: git://github.com/owner/repo.git
+    """
+    slug = url.strip()
+    # Strip .git suffix
+    if slug.endswith(".git"):
+        slug = slug[:-4]
+    # Strip protocol prefixes
+    for prefix in ("https://", "http://", "ssh://", "git://"):
+        if slug.startswith(prefix):
+            slug = slug[len(prefix):]
+            break
+    else:
+        # Handle git@ style (no protocol prefix matched)
+        slug = re.sub(r"^git@", "", slug)
+    # Replace the first colon (SSH host:path separator) with /
+    slug = slug.replace(":", "/", 1)
+    # Split on / and take last two components (owner, repo)
+    parts = [p for p in slug.split("/") if p]
+    if len(parts) >= 2:
+        owner, repo = parts[-2], parts[-1]
+        slug = f"{owner}-{repo}"
+    elif parts:
+        slug = parts[-1]
+    else:
+        return ""
+    # Replace any remaining / and : with -
+    slug = slug.replace("/", "-").replace(":", "-")
+    return slug

mem0-plugin/scripts/_project.sh

@@ -0,0 +1,71 @@
+# Source this file. Sets MEM0_PROJECT_ID and MEM0_BRANCH.
+#
+# Resolution priority (project_id):
+#   1. MEM0_PROJECT_ID env var (explicit override)
+#   2. ~/.mem0/project_map.json lookup by $PWD (requires jq)
+#   3. Git remote slug: strip protocol/prefix, strip .git, replace / and : with -
+#      e.g. git@github.com:mem0ai/mem0.git -> mem0ai-mem0
+#   4. Fallback: basename of $PWD
+#
+# Branch resolution:
+#   git branch --show-current, fallback "unknown"
+
+_mem0_resolve_project_id() {
+  # 1. Explicit override
+  if [ -n "${MEM0_PROJECT_ID:-}" ]; then
+    printf '%s' "$MEM0_PROJECT_ID"
+    return
+  fi
+
+  # 2. project_map.json lookup by $PWD
+  _mem0_map="$HOME/.mem0/project_map.json"
+  if [ -f "$_mem0_map" ] && command -v jq >/dev/null 2>&1; then
+    _mem0_mapped=$(jq -r --arg cwd "$PWD" '.[$cwd] // empty' "$_mem0_map" 2>/dev/null)
+    if [ -n "$_mem0_mapped" ]; then
+      printf '%s' "$_mem0_mapped"
+      return
+    fi
+  fi
+
+  # 3. Git remote slug
+  _mem0_remote_url=$(git remote get-url origin 2>/dev/null)
+  if [ -n "$_mem0_remote_url" ]; then
+    _mem0_slug="$_mem0_remote_url"
+    # Strip .git suffix
+    _mem0_slug="${_mem0_slug%.git}"
+    # Strip protocol prefixes
+    _mem0_slug="${_mem0_slug#https://}"
+    _mem0_slug="${_mem0_slug#http://}"
+    _mem0_slug="${_mem0_slug#ssh://}"
+    _mem0_slug="${_mem0_slug#git://}"
+    _mem0_slug="${_mem0_slug#git@}"
+    # Replace first colon (SSH host:path separator) with /
+    # shellcheck disable=SC2039
+    _mem0_slug="${_mem0_slug/://}"
+    # Keep only the last two path components (owner/repo)
+    _mem0_owner=$(printf '%s' "$_mem0_slug" | awk -F'/' '{print $(NF-1)}')
+    _mem0_repo=$(printf '%s' "$_mem0_slug" | awk -F'/' '{print $NF}')
+    _mem0_slug="${_mem0_owner}-${_mem0_repo}"
+    # Replace any remaining / and : with -
+    # shellcheck disable=SC2039
+    _mem0_slug="${_mem0_slug//\//-}"
+    # shellcheck disable=SC2039
+    _mem0_slug="${_mem0_slug//:/-}"
+    if [ -n "$_mem0_slug" ]; then
+      printf '%s' "$_mem0_slug"
+      return
+    fi
+  fi
+
+  # 4. Fallback: basename of $PWD
+  printf '%s' "$(basename "$PWD")"
+}
+
+_mem0_resolve_branch() {
+  git branch --show-current 2>/dev/null || printf 'unknown'
+}
+
+MEM0_PROJECT_ID="$(_mem0_resolve_project_id)"
+MEM0_BRANCH="$(_mem0_resolve_branch)"
+export MEM0_PROJECT_ID
+export MEM0_BRANCH

mem0-plugin/scripts/auto_import.py

@@ -0,0 +1,188 @@
+#!/usr/bin/env python3
+"""Auto-import declarative project files into mem0.
+
+Runs in the background from the SessionStart hook (startup only).
+Imports CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, mem0.md
+into mem0 as project profile memories, skipping unchanged files via
+SHA-256 hashing.
+
+Input:  MEM0_CWD env var (optional, defaults to os.getcwd())
+Output: stderr logs only (exit 0 always — must not block)
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import logging
+import os
+import sys
+import urllib.error
+import urllib.request
+
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from _identity import resolve_user_id
+from _project import resolve_project_id
+
+log = logging.getLogger("mem0-auto-import")
+log.setLevel(logging.DEBUG)
+_handler = logging.StreamHandler(sys.stderr)
+_handler.setFormatter(logging.Formatter("[mem0-auto-import] %(message)s"))
+log.addHandler(_handler)
+
+if os.environ.get("MEM0_DEBUG"):
+    _log_dir = os.path.expanduser("~/.mem0")
+    try:
+        os.makedirs(_log_dir, exist_ok=True)
+        _file_handler = logging.FileHandler(os.path.join(_log_dir, "hooks.log"))
+        _file_handler.setFormatter(logging.Formatter("[mem0-auto-import] %(asctime)s %(message)s"))
+        log.addHandler(_file_handler)
+    except OSError:
+        pass
+
+API_URL = "https://api.mem0.ai"
+MAX_FILE_SIZE = 100_000  # skip files over 100 KB
+TARGET_FILES = ["CLAUDE.md", "AGENTS.md", ".cursorrules", ".windsurfrules", "mem0.md"]
+HASH_STORE = os.path.expanduser("~/.mem0/file_hashes.json")
+
+
+def sha256_file(path: str) -> str:
+    """Return the hex SHA-256 digest of a file."""
+    h = hashlib.sha256()
+    with open(path, "rb") as f:
+        for chunk in iter(lambda: f.read(65536), b""):
+            h.update(chunk)
+    return h.hexdigest()
+
+
+def load_hashes() -> dict[str, str]:
+    """Load the hash store from disk; return empty dict on any error."""
+    if not os.path.isfile(HASH_STORE):
+        return {}
+    try:
+        with open(HASH_STORE) as f:
+            return json.load(f)
+    except (OSError, json.JSONDecodeError):
+        return {}
+
+
+def save_hashes(hashes: dict[str, str]) -> None:
+    """Persist the hash store to disk."""
+    mem0_dir = os.path.expanduser("~/.mem0")
+    os.makedirs(mem0_dir, exist_ok=True)
+    try:
+        with open(HASH_STORE, "w") as f:
+            json.dump(hashes, f, indent=2)
+    except OSError as e:
+        log.warning("Could not save hash store: %s", e)
+
+
+def post_memory(api_key: str, content: str, user_id: str, filename: str, project_id: str) -> bool:
+    """POST a project profile memory to the Mem0 REST API."""
+    body = {
+        "messages": [
+            {
+                "role": "user",
+                "content": f"## Project Profile: {filename}\n\nProject: {project_id}\n\n{content}",
+            }
+        ],
+        "user_id": user_id,
+        "metadata": {
+            "type": "project_profile",
+            "file": filename,
+            "project_id": project_id,
+            "source": "auto-import",
+        },
+        "infer": False,
+    }
+
+    data = json.dumps(body).encode("utf-8")
+    req = urllib.request.Request(
+        f"{API_URL}/v1/memories/",
+        data=data,
+        headers={
+            "Content-Type": "application/json",
+            "Authorization": f"Token {api_key}",
+        },
+        method="POST",
+    )
+
+    try:
+        with urllib.request.urlopen(req, timeout=15) as resp:
+            if resp.status in (200, 201):
+                log.info("Imported %s (project=%s)", filename, project_id)
+                return True
+            log.warning("API returned status %d for %s", resp.status, filename)
+            return False
+    except urllib.error.URLError as e:
+        log.warning("API call failed for %s: %s", filename, e)
+        return False
+
+
+def main() -> None:
+    api_key = os.environ.get("MEM0_API_KEY", "")
+    if not api_key:
+        log.debug("MEM0_API_KEY not set, skipping auto-import")
+        return
+
+    cwd = os.environ.get("MEM0_CWD", "").strip() or os.getcwd()
+    user_id = resolve_user_id()
+    project_id = resolve_project_id(cwd)
+
+    log.debug("Auto-import started: cwd=%s project=%s user=%s", cwd, project_id, user_id)
+
+    hashes = load_hashes()
+    updated = False
+
+    for filename in TARGET_FILES:
+        filepath = os.path.join(cwd, filename)
+
+        if not os.path.isfile(filepath):
+            log.debug("Not found, skipping: %s", filename)
+            continue
+
+        try:
+            file_size = os.path.getsize(filepath)
+        except OSError:
+            log.debug("Cannot stat %s, skipping", filename)
+            continue
+
+        if file_size > MAX_FILE_SIZE:
+            log.debug("Skipping %s: size %d exceeds %d bytes", filename, file_size, MAX_FILE_SIZE)
+            continue
+
+        try:
+            current_hash = sha256_file(filepath)
+        except OSError as e:
+            log.debug("Cannot hash %s: %s", filename, e)
+            continue
+
+        hash_key = f"{project_id}:{filename}"
+        if hashes.get(hash_key) == current_hash:
+            log.debug("Unchanged, skipping: %s", filename)
+            continue
+
+        try:
+            with open(filepath, encoding="utf-8", errors="replace") as f:
+                content = f.read()
+        except OSError as e:
+            log.debug("Cannot read %s: %s", filename, e)
+            continue
+
+        if post_memory(api_key, content, user_id, filename, project_id):
+            hashes[hash_key] = current_hash
+            updated = True
+        # on API failure we don't update the hash — retry next session
+
+    if updated:
+        save_hashes(hashes)
+    else:
+        log.debug("No files imported this run")
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except Exception as e:
+        log.error("Unexpected error: %s", e)
+    sys.exit(0)

mem0-plugin/scripts/block_memory_write_cursor.sh

@@ -0,0 +1,33 @@
+#!/usr/bin/env bash
+# Hook: preToolUse (Cursor) — blocks writes to MEMORY.md
+#
+# Cursor variant of block_memory_write.sh. Returns JSON:
+# {"permission":"deny","agent_message":"..."} on block,
+# {"permission":"allow"} on pass.
+
+set -uo pipefail
+
+if [ -n "${MEM0_DEBUG:-}" ]; then
+  mkdir -p "$HOME/.mem0" && exec 2>>"$HOME/.mem0/hooks.log"
+fi
+
+INPUT=$(cat)
+
+FILE_PATH=$(echo "$INPUT" | jq -r '.tool_input.file_path // .tool_input.path // ""' 2>/dev/null || echo "")
+
+if [ -z "$FILE_PATH" ]; then
+  jq -cn '{permission:"allow"}'
+  exit 0
+fi
+
+case "$FILE_PATH" in
+  */MEMORY.md|*/.claude/memory/*|*/.cursor/memory/*)
+    jq -cn --arg msg "Do not write to $FILE_PATH. Use the mem0 MCP add_memory tool instead to persist memories." \
+      '{permission:"deny", agent_message:$msg}'
+    exit 0
+    ;;
+  *)
+    jq -cn '{permission:"allow"}'
+    exit 0
+    ;;
+esac

mem0-plugin/scripts/capture_compact_summary.py

@@ -26,6 +26,7 @@ from datetime import date, timedelta
 
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from _identity import resolve_user_id
+from _project import resolve_branch, resolve_project_id
 
 log = logging.getLogger("mem0-compact-summary")
 log.setLevel(logging.DEBUG)
@@ -94,7 +95,7 @@ def find_compact_summary(lines: list[str]) -> str:
     return ""
 
 
-def store_summary(api_key: str, summary: str, user_id: str, session_id: str) -> bool:
+def store_summary(api_key: str, summary: str, user_id: str, session_id: str, project_id: str = "", branch: str = "") -> bool:
     expires = (date.today() + timedelta(days=COMPACT_SUMMARY_EXPIRY_DAYS)).isoformat()
     body = {
         "messages": [{"role": "user", "content": summary}],
@@ -103,6 +104,8 @@ def store_summary(api_key: str, summary: str, user_id: str, session_id: str) ->
             "type": "compact_summary",
             "source": "session-start-compact",
             "session_id": session_id,
+            "project_id": project_id,
+            "branch": branch,
         },
         "infer": False,
         "expiration_date": expires,
@@ -149,6 +152,8 @@ def main():
 
     session_id = hook_input.get("session_id", "")
     user_id = resolve_user_id()
+    project_id = resolve_project_id()
+    branch = resolve_branch()
 
     lines = tail_lines(transcript_path, MAX_TAIL_LINES)
     if not lines:
@@ -161,7 +166,7 @@ def main():
         return
 
     log.info("Capturing compact summary (%d chars)", len(summary))
-    store_summary(api_key, summary, user_id, session_id)
+    store_summary(api_key, summary, user_id, session_id, project_id, branch)
 
 
 if __name__ == "__main__":

mem0-plugin/scripts/on_post_tool_use.sh

@@ -0,0 +1,28 @@
+#!/usr/bin/env bash
+# Hook: PostToolUse — track mem0 MCP tool usage for session stats
+#
+# Fires after any tool call. We only care about mem0 MCP tools:
+#   mcp__mem0__add_memory     → record an add
+#   mcp__mem0__search_memories → record a search
+#
+# Input:  JSON on stdin with tool_name, tool_input, tool_result
+# Output: none (exit 0, non-blocking)
+
+set -uo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+INPUT=$(cat)
+TOOL_NAME=$(echo "$INPUT" | jq -r '.tool_name // ""' 2>/dev/null || echo "")
+
+case "$TOOL_NAME" in
+  mcp__mem0__add_memory)
+    CATEGORY=$(echo "$INPUT" | jq -r '.tool_input.metadata.type // .tool_input.metadata.category // ""' 2>/dev/null || echo "")
+    python3 "$SCRIPT_DIR/session_stats.py" add "$CATEGORY" 2>/dev/null || true
+    ;;
+  mcp__mem0__search_memories|mcp__mem0__get_memories)
+    python3 "$SCRIPT_DIR/session_stats.py" search 2>/dev/null || true
+    ;;
+esac
+
+exit 0

mem0-plugin/scripts/on_post_tool_use_cursor.sh

@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+# Hook: postToolUse (Cursor) — track mem0 MCP tool usage for session stats
+#
+# Wraps on_post_tool_use.sh. Cursor expects JSON output but PostToolUse
+# has no meaningful return value, so we output {} after tracking.
+
+set -uo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+# Run the shared tracker (output is ignored)
+"$SCRIPT_DIR/on_post_tool_use.sh" 2>/dev/null || true
+
+echo '{}'
+exit 0

mem0-plugin/scripts/on_pre_compact.py

@@ -24,6 +24,7 @@ from datetime import date, timedelta
 
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from _identity import resolve_user_id
+from _project import resolve_branch, resolve_project_id
 
 log = logging.getLogger("mem0-capture")
 log.setLevel(logging.DEBUG)
@@ -167,7 +168,7 @@ def build_content(state: dict, source: str) -> str:
     return "\n".join(parts)
 
 
-def store_memory(api_key: str, content: str, user_id: str, source: str, session_id: str = "") -> bool:
+def store_memory(api_key: str, content: str, user_id: str, source: str, session_id: str = "", project_id: str = "", branch: str = "") -> bool:
     """Store session state as a memory via the Mem0 REST API."""
     expires = (date.today() + timedelta(days=SESSION_STATE_EXPIRY_DAYS)).isoformat()
     body = {
@@ -179,6 +180,8 @@ def store_memory(api_key: str, content: str, user_id: str, source: str, session_
             "type": "session_state",
             "source": source,
             "session_id": session_id,
+            "project_id": project_id,
+            "branch": branch,
         },
         "expiration_date": expires,
     }
@@ -230,6 +233,8 @@ def main():
 
     session_id = hook_input.get("session_id", "")
     user_id = resolve_user_id()
+    project_id = resolve_project_id()
+    branch = resolve_branch()
 
     lines = tail_lines(transcript_path, MAX_TAIL_LINES)
     if not lines:
@@ -250,7 +255,7 @@ def main():
         len(state["bash_commands"]),
     )
 
-    store_memory(api_key, content, user_id, source, session_id)
+    store_memory(api_key, content, user_id, source, session_id, project_id, branch)
 
 
 if __name__ == "__main__":

mem0-plugin/scripts/on_pre_compact.sh

@@ -55,7 +55,7 @@ Tool call shape:
 add_memory(
   messages=[{"role":"user","content":"<the summary above>"}],
   user_id="<the active user_id from the SessionStart bootstrap>",
-  metadata={"type":"session_state","source":"pre-compaction"},
+  metadata={"type":"session_state","source":"pre-compaction","project_id":"<the active project_id>","branch":"<the active branch>"},
   infer=False,
 )
 ```

mem0-plugin/scripts/on_pre_compact_cursor.sh

@@ -0,0 +1,19 @@
+#!/usr/bin/env bash
+# Hook: preCompact (Cursor)
+#
+# Wraps on_pre_compact.sh and converts plain-text output to Cursor's
+# expected JSON format: {"user_message":"<text>"}
+
+set -uo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+TEXT=$("$SCRIPT_DIR/on_pre_compact.sh" 2>/dev/null || echo "")
+
+if [ -z "$TEXT" ]; then
+  echo '{}'
+  exit 0
+fi
+
+jq -cn --arg msg "$TEXT" '{user_message:$msg}'
+exit 0

mem0-plugin/scripts/on_session_start.sh

@@ -25,18 +25,57 @@ SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
 # shellcheck source=_identity.sh
 . "$SCRIPT_DIR/_identity.sh"
 
+# Initialize session stats tracker
+python3 "$SCRIPT_DIR/session_stats.py" init 2>/dev/null || true
+
 INPUT=$(cat)
 SOURCE=$(echo "$INPUT" | jq -r '.source // "startup"' 2>/dev/null || echo "startup")
 
+# Fetch project-scoped memory count (best-effort, don't block on failure, 5s timeout)
+MEM0_COUNT="?"
+if command -v python3 >/dev/null 2>&1; then
+  MEM0_COUNT=$(python3 -c "
+import json, os, urllib.request, urllib.error
+api_key = os.environ.get('MEM0_API_KEY', '')
+user_id = os.environ.get('MEM0_RESOLVED_USER_ID', 'default')
+project_id = os.environ.get('MEM0_PROJECT_ID', '')
+body = json.dumps({
+    'query': 'project context',
+    'user_id': user_id,
+    'filters': {'AND': [{'user_id': user_id}, {'metadata': {'project_id': project_id}}]},
+    'limit': 100,
+}).encode()
+req = urllib.request.Request(
+    'https://api.mem0.ai/v2/memories/search/',
+    data=body,
+    headers={'Authorization': f'Token {api_key}', 'Content-Type': 'application/json'},
+    method='POST',
+)
+try:
+    with urllib.request.urlopen(req, timeout=5) as r:
+        results = json.loads(r.read())
+        if isinstance(results, list):
+            n = len(results)
+            print(f'{n}+' if n >= 100 else str(n))
+        else:
+            print('?')
+except Exception:
+    print('?')
+" 2>/dev/null || echo "?")
+fi
+
 # Identity line is emitted before every bootstrap variant so the agent
 # uses the same user_id the hooks resolved. Without this, the agent's
 # search_memories/add_memory MCP calls may bind to a different bucket
 # than what the hooks write to.
-echo "## Mem0 Identity"
+echo "## Mem0 Active"
 echo ""
-echo "Active user_id: \`$MEM0_RESOLVED_USER_ID\`"
+echo "\`user=$MEM0_RESOLVED_USER_ID | project=$MEM0_PROJECT_ID | branch=$MEM0_BRANCH | memories=$MEM0_COUNT\`"
 echo ""
-echo "Always include \`{\"user_id\": \"$MEM0_RESOLVED_USER_ID\"}\` (wrapped in an \`AND\` clause) in every \`search_memories\` filter and as \`user_id\` on every \`add_memory\` call. This keeps memories under one bucket regardless of which machine you're on."
+echo "Always include \`user_id\` + \`metadata.project_id\` in every \`search_memories\` filter and \`add_memory\` call:"
+echo "- user_id: \`$MEM0_RESOLVED_USER_ID\`"
+echo "- project_id: \`$MEM0_PROJECT_ID\`"
+echo "- branch: \`$MEM0_BRANCH\` (include in session-state / compact-summary metadata)"
 echo ""
 
 if [ "$SOURCE" = "startup" ]; then
@@ -52,6 +91,10 @@ You have access to persistent memory via the mem0 MCP tools. Before doing anythi
 IMPORTANT: Do NOT skip this step. Always bootstrap context first.
 EOF
 
+  # Auto-import declarative project files in background
+  MEM0_CWD="$(echo "$INPUT" | jq -r '.cwd // "."' 2>/dev/null || echo ".")" \
+    python3 "$SCRIPT_DIR/auto_import.py" 2>/dev/null &
+
 elif [ "$SOURCE" = "resume" ]; then
   cat <<'EOF'
 ## Mem0 Session Resumed

mem0-plugin/scripts/on_session_start_cursor.sh

@@ -0,0 +1,19 @@
+#!/usr/bin/env bash
+# Hook: sessionStart (Cursor)
+#
+# Wraps on_session_start.sh and converts plain-text output to Cursor's
+# expected JSON format: {"additional_context":"<text>"}
+
+set -uo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+TEXT=$("$SCRIPT_DIR/on_session_start.sh" 2>/dev/null || echo "")
+
+if [ -z "$TEXT" ]; then
+  echo '{}'
+  exit 0
+fi
+
+jq -cn --arg ctx "$TEXT" '{additional_context:$ctx}'
+exit 0

mem0-plugin/scripts/on_stop.sh

@@ -25,6 +25,22 @@ if [ "$STOP_HOOK_ACTIVE" = "true" ]; then
   exit 0
 fi
 
+# Print session-end report
+REPORT=$(python3 "$SCRIPT_DIR/session_stats.py" report 2>/dev/null || echo "")
+if [ -n "$REPORT" ]; then
+  echo ""
+  echo "---"
+  echo "**mem0 $REPORT**"
+  echo "---"
+  echo ""
+fi
+
+# Append to persistent session log (guarded — on_stop.sh uses set -euo pipefail)
+if [ -n "$REPORT" ]; then
+  mkdir -p "$HOME/.mem0" 2>/dev/null || true
+  echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) | $REPORT" >> "$HOME/.mem0/session-log.md" 2>/dev/null || true
+fi
+
 cat <<'EOF'
 Before finishing, check if there are important learnings from this interaction that should be persisted using the mem0 `add_memory` tool:
 
@@ -37,6 +53,8 @@ Before finishing, check if there are important learnings from this interaction t
 Memories can be as detailed as needed — include full context, reasoning, code snippets, file paths, and examples. Longer, searchable memories are more valuable than vague one-liners.
 
 If nothing notable happened in this interaction, it's fine to skip. Only store genuinely useful learnings.
+
+Always include `"project_id"` in the metadata of any memory you store.
 EOF
 
 # Capture transcript state in the background via Mem0 REST API

mem0-plugin/scripts/on_stop_codex.sh

@@ -21,6 +21,8 @@ if [ -n "${MEM0_DEBUG:-}" ]; then
   mkdir -p "$HOME/.mem0" && exec 2>>"$HOME/.mem0/hooks.log"
 fi
 
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
 INPUT=$(cat)
 STOP_HOOK_ACTIVE=$(echo "$INPUT" | jq -r '.stop_hook_active // false' 2>/dev/null || echo "false")
 
@@ -29,20 +31,35 @@ if [ "$STOP_HOOK_ACTIVE" = "true" ]; then
   exit 0
 fi
 
-REASON=$(cat <<'EOF'
-Before finishing, check if there are important learnings from this interaction that should be persisted using the mem0 `add_memory` tool:
+# Session-end report (best-effort, must not break JSON output)
+REPORT=$(python3 "$SCRIPT_DIR/session_stats.py" report 2>/dev/null || echo "")
+REPORT_BLOCK=""
+if [ -n "$REPORT" ]; then
+  REPORT_BLOCK="---\nmem0 $REPORT\n---\n\n"
+  mkdir -p "$HOME/.mem0" 2>/dev/null || true
+  echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) | $REPORT" >> "$HOME/.mem0/session-log.md" 2>/dev/null || true
+fi
 
-1. Were any significant decisions made? -> Store with metadata `{"type": "decision"}`
-2. Were any new patterns or strategies discovered? -> Store with metadata `{"type": "task_learning"}`
-3. Did any approach fail? -> Store with metadata `{"type": "anti_pattern"}`
-4. Did you learn anything about the user's preferences? -> Store with metadata `{"type": "user_preference"}`
-5. Were there environment/setup discoveries? -> Store with metadata `{"type": "environmental"}`
+REASON=$(cat <<EOF
+${REPORT_BLOCK}Before finishing, check if there are important learnings from this interaction that should be persisted using the mem0 \`add_memory\` tool:
+
+1. Were any significant decisions made? -> Store with metadata \`{"type": "decision"}\`
+2. Were any new patterns or strategies discovered? -> Store with metadata \`{"type": "task_learning"}\`
+3. Did any approach fail? -> Store with metadata \`{"type": "anti_pattern"}\`
+4. Did you learn anything about the user's preferences? -> Store with metadata \`{"type": "user_preference"}\`
+5. Were there environment/setup discoveries? -> Store with metadata \`{"type": "environmental"}\`
 
 Memories can be as detailed as needed — include full context, reasoning, code snippets, file paths, and examples. Longer, searchable memories are more valuable than vague one-liners.
 
+Always include \`"project_id"\` in the metadata of any memory you store.
+
 If nothing notable happened in this interaction, it's fine to skip. Only store genuinely useful learnings.
 EOF
 )
 
 jq -cn --arg reason "$REASON" '{decision:"block", reason:$reason}'
+
+# Capture transcript state in the background via Mem0 REST API
+echo "$INPUT" | python3 "$SCRIPT_DIR/on_pre_compact.py" --source=session-end 2>/dev/null &
+
 exit 0

mem0-plugin/scripts/on_stop_cursor.sh

@@ -0,0 +1,49 @@
+#!/usr/bin/env bash
+# Hook: Stop (Cursor)
+#
+# Fires when Cursor agent completes a turn. Wraps the same logic as
+# on_stop.sh but outputs JSON (Cursor expects {"followup_message":"..."}).
+#
+# Input:  JSON on stdin with status, loop_count, conversation_id, etc.
+# Output: JSON on stdout: {"followup_message":"<reminder text>"}
+
+set -uo pipefail
+
+if [ -n "${MEM0_DEBUG:-}" ]; then
+  mkdir -p "$HOME/.mem0" && exec 2>>"$HOME/.mem0/hooks.log"
+fi
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+INPUT=$(cat)
+
+# Session-end report (best-effort)
+REPORT=$(python3 "$SCRIPT_DIR/session_stats.py" report 2>/dev/null || echo "")
+REPORT_BLOCK=""
+if [ -n "$REPORT" ]; then
+  REPORT_BLOCK="---\nmem0 $REPORT\n---\n\n"
+  mkdir -p "$HOME/.mem0" 2>/dev/null || true
+  echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) | $REPORT" >> "$HOME/.mem0/session-log.md" 2>/dev/null || true
+fi
+
+MESSAGE=$(cat <<EOF
+${REPORT_BLOCK}Before finishing, check if there are important learnings from this interaction that should be persisted using the mem0 \`add_memory\` tool:
+
+1. Were any significant decisions made? -> Store with metadata \`{"type": "decision"}\`
+2. Were any new patterns or strategies discovered? -> Store with metadata \`{"type": "task_learning"}\`
+3. Did any approach fail? -> Store with metadata \`{"type": "anti_pattern"}\`
+4. Did you learn anything about the user's preferences? -> Store with metadata \`{"type": "user_preference"}\`
+5. Were there environment/setup discoveries? -> Store with metadata \`{"type": "environmental"}\`
+
+Always include \`"project_id"\` in the metadata of any memory you store.
+
+If nothing notable happened, it's fine to skip. Only store genuinely useful learnings.
+EOF
+)
+
+jq -cn --arg msg "$MESSAGE" '{followup_message:$msg}'
+
+# Capture transcript state in the background via Mem0 REST API
+echo "$INPUT" | python3 "$SCRIPT_DIR/on_pre_compact.py" --source=session-end 2>/dev/null &
+
+exit 0

mem0-plugin/scripts/on_task_completed.sh

@@ -13,6 +13,9 @@ if [ -n "${MEM0_DEBUG:-}" ]; then
   mkdir -p "$HOME/.mem0" && exec 2>>"$HOME/.mem0/hooks.log"
 fi
 
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+. "$SCRIPT_DIR/_identity.sh" || true
+
 INPUT=$(cat)
 TASK_SUBJECT=$(echo "$INPUT" | jq -r '.task_subject // "unknown task"' 2>/dev/null || echo "unknown task")
 
@@ -28,6 +31,7 @@ Extract key learnings from this completed task and store them using the mem0 \`a
 
 Memories can be as detailed as needed — include full context, reasoning, code snippets, and examples.
 Only store genuinely useful learnings — skip if the task was trivial.
+Include \`"project_id": "$MEM0_PROJECT_ID"\` in metadata for all memories.
 EOF
 
 exit 0

mem0-plugin/scripts/on_user_prompt.sh

@@ -61,11 +61,11 @@ improve your answer. The agent -- not this hook -- owns this decision.
 - Filter shape: the root must be a logical operator (\`AND\` / \`OR\` / \`NOT\`)
   with an array, and metadata uses a **nested** object (not dotted keys).
   Combine \`user_id\` with one \`metadata.type\` clause per call:
-  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"type": "decision"}}]}\` -- design / architecture
-  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"type": "anti_pattern"}}]}\` -- debugging, error handling
-  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"type": "user_preference"}}]}\` -- tooling, stack, style
-  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"type": "convention"}}]}\` -- established patterns
-- Or scope with just \`{"AND": [{"user_id": "$USER_ID"}]}\` when no metadata filter fits.
+  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"project_id": "$MEM0_PROJECT_ID"}}, {"metadata": {"type": "decision"}}]}\` -- design / architecture
+  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"project_id": "$MEM0_PROJECT_ID"}}, {"metadata": {"type": "anti_pattern"}}]}\` -- debugging, error handling
+  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"project_id": "$MEM0_PROJECT_ID"}}, {"metadata": {"type": "user_preference"}}]}\` -- tooling, stack, style
+  - \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"project_id": "$MEM0_PROJECT_ID"}}, {"metadata": {"type": "convention"}}]}\` -- established patterns
+  - Or scope with just \`{"AND": [{"user_id": "$USER_ID"}, {"metadata": {"project_id": "$MEM0_PROJECT_ID"}}]}\` when no metadata filter fits.
 - Empty results are normal -- proceed without context.
 EOF
 

mem0-plugin/scripts/on_user_prompt_cursor.sh

@@ -0,0 +1,19 @@
+#!/usr/bin/env bash
+# Hook: beforeSubmitPrompt (Cursor)
+#
+# Wraps on_user_prompt.sh and converts plain-text output to Cursor's
+# expected JSON format: {"continue":true,"user_message":"<text>"}
+
+set -uo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+TEXT=$("$SCRIPT_DIR/on_user_prompt.sh" 2>/dev/null || echo "")
+
+if [ -z "$TEXT" ]; then
+  jq -cn '{continue:true}'
+  exit 0
+fi
+
+jq -cn --arg msg "$TEXT" '{continue:true, user_message:$msg}'
+exit 0

mem0-plugin/scripts/session_stats.py

@@ -0,0 +1,106 @@
+#!/usr/bin/env python3
+"""Session stats tracker for mem0 plugin.
+
+Tracks memory adds/searches per session.
+Uses /tmp/mem0_session_stats_$USER.json (single file per user, reset on init).
+
+Usage:
+  python session_stats.py init            # reset for new session
+  python session_stats.py add <category>  # record a memory write
+  python session_stats.py search          # record a search
+  python session_stats.py report          # print summary, clean up temp file
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import sys
+from datetime import datetime
+
+STATS_FILE = f"/tmp/mem0_session_stats_{os.environ.get('USER', 'default')}.json"
+
+
+def _load() -> dict:
+    if os.path.isfile(STATS_FILE):
+        try:
+            with open(STATS_FILE) as f:
+                return json.load(f)
+        except (json.JSONDecodeError, OSError):
+            pass
+    return {"adds": 0, "searches": 0, "categories": [], "started": datetime.now().isoformat()}
+
+
+def _save(stats: dict) -> None:
+    with open(STATS_FILE, "w") as f:
+        json.dump(stats, f)
+
+
+def init() -> None:
+    _save({"adds": 0, "searches": 0, "categories": [], "started": datetime.now().isoformat()})
+
+
+def record_add(category: str = "") -> None:
+    stats = _load()
+    stats["adds"] = stats.get("adds", 0) + 1
+    if category and category not in stats.get("categories", []):
+        stats.setdefault("categories", []).append(category)
+    _save(stats)
+
+
+def record_search() -> None:
+    stats = _load()
+    stats["searches"] = stats.get("searches", 0) + 1
+    _save(stats)
+
+
+def report() -> str:
+    stats = _load()
+    adds = stats.get("adds", 0)
+    searches = stats.get("searches", 0)
+    categories = stats.get("categories", [])
+
+    # Clean up temp file after reading
+    try:
+        os.unlink(STATS_FILE)
+    except OSError:
+        pass
+
+    if adds == 0 and searches == 0:
+        return ""
+
+    parts = []
+    parts.append(f"Session: wrote {adds} memories, retrieved {searches}")
+    if categories:
+        parts.append(f"Categories touched: {', '.join(categories)}")
+
+    return ". ".join(parts) + "."
+
+
+def main() -> int:
+    if len(sys.argv) < 2:
+        print("Usage: session_stats.py [init|add|search|report]", file=sys.stderr)
+        return 1
+
+    cmd = sys.argv[1]
+    if cmd == "init":
+        init()
+    elif cmd == "add":
+        category = sys.argv[2] if len(sys.argv) > 2 else ""
+        record_add(category)
+    elif cmd == "search":
+        record_search()
+    elif cmd == "report":
+        result = report()
+        if result:
+            print(result)
+        else:
+            print("Session: no memory operations.")
+    else:
+        print(f"Unknown command: {cmd}", file=sys.stderr)
+        return 1
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

mem0-plugin/skills/mem0-mcp/SKILL.md

@@ -16,6 +16,23 @@ You have access to persistent memory via the mem0 MCP tools. Follow this protoco
 
 Decide whether persistent memory context would improve your response, then act accordingly. Don't search by default — search deliberately.
 
+## Project scoping
+
+Every memory operation MUST be scoped to the current project:
+
+- **On `add_memory`:** Always include `metadata.project_id` (the active project_id from SessionStart).
+- **On `search_memories`:** Always include `{"metadata": {"project_id": "<your_project_id>"}}` in the AND filter.
+- **Session-state memories:** Also include `metadata.branch` (the active branch from SessionStart).
+
+Full filter template:
+```python
+filters={"AND": [
+    {"user_id": "<your_user_id>"},
+    {"metadata": {"project_id": "<your_project_id>"}},
+    {"metadata": {"type": "decision"}}
+]}
+```
+
 ### Decide: search or skip?
 
 **Search WHEN** the user:
@@ -59,9 +76,9 @@ Combine `user_id` with one metadata clause per call:
 | `{"metadata": {"type": "user_preference"}}` | tooling, stack, style — always include for code work |
 | `{"metadata": {"type": "convention"}}` | established patterns in this project |
 
-Full filter (replace `<your_user_id>` with the active user_id from your runtime):
+Full filter (replace `<your_user_id>` and `<your_project_id>` with the active values from SessionStart):
 ```python
-filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"type": "decision"}}]}
+filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"project_id": "<your_project_id>"}}, {"metadata": {"type": "decision"}}]}
 ```
 
 ### Worked example
@@ -74,16 +91,16 @@ search_memories(query="Refactor the auth module to use JWT")
 # Hits whatever shares words. Misses prior decisions and preferences.
 ```
 
-Do (parallel — substitute the active `user_id` for `<your_user_id>`):
+Do (parallel — substitute the active `user_id` and `project_id` for the placeholders):
 ```python
 search_memories(query="auth module decisions",
-                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"type": "decision"}}]})
+                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"project_id": "<your_project_id>"}}, {"metadata": {"type": "decision"}}]})
 search_memories(query="JWT",
-                filters={"AND": [{"user_id": "<your_user_id>"}]})
+                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"project_id": "<your_project_id>"}}]})
 search_memories(query="auth refactor failures",
-                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"type": "anti_pattern"}}]})
+                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"project_id": "<your_project_id>"}}, {"metadata": {"type": "anti_pattern"}}]})
 search_memories(query="auth",
-                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"type": "user_preference"}}]})
+                filters={"AND": [{"user_id": "<your_user_id>"}, {"metadata": {"project_id": "<your_project_id>"}}, {"metadata": {"type": "user_preference"}}]})
 ```
 
 ## After completing significant work
@@ -116,7 +133,7 @@ When the user is asking about *current* state ("where were we", "what's the acti
 
 ```python
 # Last 90 days only
-{"AND": [{"user_id": "<id>"}, {"metadata": {"type": "session_state"}}, {"created_at": {"gte": "<90 days ago, YYYY-MM-DD>"}}]}
+{"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<your_project_id>"}}, {"metadata": {"type": "session_state"}}, {"created_at": {"gte": "<90 days ago, YYYY-MM-DD>"}}]}
 ```
 
 Skip the recency filter when the user is asking about durable facts ("what conventions does this project use", "have we hit this bug before") — those are timeless and recency would hide them.

mem0-plugin/skills/mem0-onboard/SKILL.md

@@ -0,0 +1,89 @@
+---
+name: mem0-onboard
+description: >
+  Post-install onboarding wizard for the mem0 plugin.
+  Detects CLAUDE.md, AGENTS.md, .cursorrules, .windsurfrules, mem0.md
+  and offers to import them. Installs coding categories. Shows active identity.
+  TRIGGER: user runs /mem0:onboard, or mentions "setup mem0", "configure mem0 plugin".
+---
+
+# Mem0 Onboarding Wizard
+
+Run this wizard to set up the mem0 plugin for the current project. Complete in ~30 seconds.
+
+## Step 1: Verify API key
+
+Check if `MEM0_API_KEY` is set in the current environment:
+
+```bash
+echo "${MEM0_API_KEY:+SET}" || echo "NOT_SET"
+```
+
+- If **NOT set**:
+  1. Ask the user: "No MEM0_API_KEY found. Do you have one, or need to create one?"
+  2. If they need one, provide two options:
+     - **Browser**: Go to https://app.mem0.ai/dashboard/api-keys and copy the key
+     - **CLI**: Run `pip install mem0-cli && mem0 init --agent --json` to mint a key without email
+  3. Once they have the key, tell them to run: `export MEM0_API_KEY="m0-..."` in their terminal, then restart this Claude Code session (the env var must be set before Claude Code starts).
+  4. **STOP here.** Do not proceed until the key is confirmed set.
+- If **SET**: Proceed to Step 2.
+
+## Step 2: Show identity
+
+Report the active identity to the user:
+- Call `search_memories` with `query="project setup"`, `user_id=<active_user_id>`, `filters={"AND": [{"user_id": "<active_user_id>"}, {"metadata": {"project_id": "<active_project_id>"}}]}`, `limit=1` to verify connectivity.
+- Print: `Connected. user=<user_id>, project=<project_id>, branch=<branch>`
+- If the search fails, troubleshoot the API key.
+
+## Step 3: Detect and import project files
+
+Check for these files in the project root:
+1. `CLAUDE.md`
+2. `AGENTS.md`
+3. `.cursorrules`
+4. `.windsurfrules`
+5. `mem0.md`
+
+For each file found, ask the user: "Found `<filename>` (<size> bytes). Import into mem0? [Y/n]"
+
+If user says yes (or default):
+- Read the file content
+- Call `add_memory` with:
+  - `messages=[{"role": "user", "content": "## Project Profile: <filename>\n\nProject: <project_id>\n\n<file_content>"}]`
+  - `user_id=<active_user_id>`
+  - `metadata={"type": "project_profile", "file": "<filename>", "project_id": "<active_project_id>", "source": "onboard"}`
+  - `infer=False`
+
+## Step 4: Install coding categories
+
+Ask: "Install coding categories optimized for development workflows? [Y/n]"
+
+If yes, run the script directly (no external dependencies required — uses stdlib only).
+
+The script lives at `scripts/setup_coding_categories.py` relative to the plugin root. Use the appropriate plugin root variable for the current platform:
+- Claude Code: `${CLAUDE_PLUGIN_ROOT}`
+- Codex: `${CODEX_PLUGIN_ROOT}`
+- Cursor: `${CURSOR_PLUGIN_ROOT}`
+
+```bash
+python3 "<PLUGIN_ROOT>/scripts/setup_coding_categories.py" --apply
+```
+
+If the script reports an error, show the error message and suggest checking the API key.
+
+## Step 5: Summary
+
+Print a summary:
+```
+Onboarding complete.
+  user_id:    <user_id>
+  project_id: <project_id>
+  branch:     <branch>
+  imported:   <N> files
+  categories: <installed or skipped>
+
+Memory is now active for this project. Start working — mem0 will
+automatically search relevant context and capture learnings.
+
+Run /mem0:tour to see what mem0 already knows about this project.
+```

mem0-plugin/skills/mem0-switch-project/SKILL.md

@@ -0,0 +1,50 @@
+---
+name: mem0-switch-project
+description: >
+  Manually override project_id for the current directory.
+  Useful for monorepos, nested git dirs, or non-git directories.
+  TRIGGER: user runs /mem0:switch-project <name>, or asks "switch mem0 project",
+  "change project scope", "override project_id".
+---
+
+# Mem0 Switch Project
+
+Override the automatic project_id detection for the current directory.
+
+## Usage
+
+The user provides a project name as an argument: `/mem0:switch-project <project-name>`
+
+## Execution
+
+1. If no project name was given, ask: "What project_id should this directory use?"
+
+2. Write the mapping to `~/.mem0/project_map.json` using the Bash tool:
+
+   ```bash
+   python3 -c "
+   import json, os
+   map_file = os.path.expanduser('~/.mem0/project_map.json')
+   mapping = {}
+   if os.path.isfile(map_file):
+       with open(map_file) as f:
+           mapping = json.load(f)
+   mapping[os.getcwd()] = '<PROJECT_NAME>'
+   os.makedirs(os.path.dirname(map_file), exist_ok=True)
+   with open(map_file, 'w') as f:
+       json.dump(mapping, f, indent=2)
+   print(f'Mapped {os.getcwd()} -> <PROJECT_NAME>')
+   "
+   ```
+
+   (Replace `<PROJECT_NAME>` with the user's chosen project name.)
+
+3. Verify by searching for existing memories:
+   - Call `search_memories` with `query="project"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<PROJECT_NAME>"}}]}`, `limit=1`
+
+4. Print:
+   ```
+   Switched to project <PROJECT_NAME>.
+   <N> memories found for this project.
+   Note: This override persists across sessions for this directory.
+   ```

mem0-plugin/skills/mem0-tour/SKILL.md

@@ -0,0 +1,46 @@
+---
+name: mem0-tour
+description: >
+  Show what mem0 knows about the current project. Dumps top memories
+  grouped by category. Power-user-friendly proof of value.
+  TRIGGER: user runs /mem0:tour, or asks "what do you know about this project",
+  "show me my memories", "what has mem0 stored".
+---
+
+# Mem0 Project Tour
+
+Show the user what mem0 has stored for the current project.
+
+## Execution
+
+1. Run the following `search_memories` calls in parallel (all with the active `user_id` and `metadata.project_id`):
+
+   - `query="architecture decisions"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "decision"}}]}`, `limit=5`
+   - `query="anti patterns failures"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "anti_pattern"}}]}`, `limit=5`
+   - `query="task learnings strategies"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "task_learning"}}]}`, `limit=5`
+   - `query="coding conventions"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "convention"}}]}`, `limit=5`
+   - `query="user preferences"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "user_preference"}}]}`, `limit=5`
+   - `query="project profile"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "project_profile"}}]}`, `limit=5`
+   - `query="tooling setup environment"`, `filters={"AND": [{"user_id": "<id>"}, {"metadata": {"project_id": "<pid>"}}, {"metadata": {"type": "environmental"}}]}`, `limit=5`
+
+2. Group results by category. For each category with results, print:
+
+   ```
+   ## <category_name> (<count> memories)
+   - <memory_content_truncated_to_100_chars> (score: <similarity_score>)
+   - ...
+   ```
+
+3. For categories with zero results, print: `<category_name>: (empty)`
+
+4. Print totals at the end:
+   ```
+   ---
+   Total: <N> memories across <M> categories for project <project_id>
+   ```
+
+5. If ALL categories are empty, print:
+   ```
+   No memories stored yet for project <project_id>.
+   Run /mem0:onboard to import project files, or start working — mem0 captures learnings automatically.
+   ```

mem0-plugin/tests/conftest.py

@@ -0,0 +1,54 @@
+"""Shared fixtures for mem0-plugin tests."""
+
+from __future__ import annotations
+
+import os
+import subprocess
+import sys
+
+import pytest
+
+SCRIPTS_DIR = os.path.join(os.path.dirname(__file__), "..", "scripts")
+
+
+@pytest.fixture(autouse=True)
+def _scripts_on_path():
+    """Ensure scripts/ is on sys.path so we can import _project, session_stats, etc."""
+    abs_scripts = os.path.abspath(SCRIPTS_DIR)
+    if abs_scripts not in sys.path:
+        sys.path.insert(0, abs_scripts)
+    yield
+    if abs_scripts in sys.path:
+        sys.path.remove(abs_scripts)
+
+
+@pytest.fixture()
+def tmp_git_repo(tmp_path):
+    """Create a temp dir with a git repo and HTTPS remote."""
+    subprocess.run(["git", "init"], cwd=tmp_path, capture_output=True, check=True)
+    subprocess.run(
+        ["git", "remote", "add", "origin", "https://github.com/mem0ai/mem0.git"],
+        cwd=tmp_path,
+        capture_output=True,
+        check=True,
+    )
+    return tmp_path
+
+
+@pytest.fixture()
+def tmp_git_repo_ssh(tmp_path):
+    """Create a temp dir with a git repo and SSH remote."""
+    subprocess.run(["git", "init"], cwd=tmp_path, capture_output=True, check=True)
+    subprocess.run(
+        ["git", "remote", "add", "origin", "git@github.com:acme/cool-project.git"],
+        cwd=tmp_path,
+        capture_output=True,
+        check=True,
+    )
+    return tmp_path
+
+
+@pytest.fixture()
+def tmp_no_git(tmp_path):
+    """Temp dir with no git repo."""
+    return tmp_path

mem0-plugin/tests/test_project.py

@@ -0,0 +1,107 @@
+"""Tests for _project.py — project_id + branch resolver."""
+
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+
+
+def test_resolve_project_id_from_https_remote(tmp_git_repo):
+    from _project import resolve_project_id
+
+    pid = resolve_project_id(str(tmp_git_repo))
+    assert pid == "mem0ai-mem0"
+
+
+def test_resolve_project_id_from_ssh_remote(tmp_git_repo_ssh):
+    from _project import resolve_project_id
+
+    pid = resolve_project_id(str(tmp_git_repo_ssh))
+    assert pid == "acme-cool-project"
+
+
+def test_resolve_project_id_fallback_basename(tmp_no_git):
+    from _project import resolve_project_id
+
+    pid = resolve_project_id(str(tmp_no_git))
+    assert pid == os.path.basename(str(tmp_no_git))
+
+
+def test_resolve_project_id_from_env(tmp_no_git, monkeypatch):
+    from _project import resolve_project_id
+
+    monkeypatch.setenv("MEM0_PROJECT_ID", "my-override")
+    pid = resolve_project_id(str(tmp_no_git))
+    assert pid == "my-override"
+
+
+def test_resolve_project_id_from_project_map(tmp_no_git):
+    from _project import resolve_project_id, save_project_mapping
+
+    save_project_mapping(str(tmp_no_git), "custom-project")
+    pid = resolve_project_id(str(tmp_no_git))
+    assert pid == "custom-project"
+
+
+def test_save_project_mapping_creates_file(tmp_no_git):
+    from _project import save_project_mapping
+
+    save_project_mapping(str(tmp_no_git), "test-proj")
+    map_path = os.path.expanduser("~/.mem0/project_map.json")
+    assert os.path.isfile(map_path)
+    with open(map_path) as f:
+        data = json.load(f)
+    assert data[str(tmp_no_git)] == "test-proj"
+
+
+def test_resolve_branch_in_git_repo(tmp_git_repo):
+    from _project import resolve_branch
+
+    subprocess.run(
+        ["git", "checkout", "-b", "feat/test-branch"],
+        cwd=tmp_git_repo,
+        capture_output=True,
+        check=True,
+    )
+    branch = resolve_branch(str(tmp_git_repo))
+    assert branch == "feat/test-branch"
+
+
+def test_resolve_branch_no_git(tmp_no_git):
+    from _project import resolve_branch
+
+    branch = resolve_branch(str(tmp_no_git))
+    assert branch == "unknown"
+
+
+def test_remote_url_to_slug_various_formats():
+    from _project import _remote_url_to_slug
+
+    assert _remote_url_to_slug("https://github.com/mem0ai/mem0.git") == "mem0ai-mem0"
+    assert _remote_url_to_slug("git@github.com:mem0ai/mem0.git") == "mem0ai-mem0"
+    assert _remote_url_to_slug("ssh://git@github.com/acme/app.git") == "acme-app"
+    assert _remote_url_to_slug("https://gitlab.com/org/sub/repo.git") == "sub-repo"
+    assert _remote_url_to_slug("git@bitbucket.org:team/project.git") == "team-project"
+
+
+def test_remote_url_to_slug_no_git_suffix():
+    from _project import _remote_url_to_slug
+
+    assert _remote_url_to_slug("https://github.com/foo/bar") == "foo-bar"
+
+
+def test_resolve_project_id_priority_order(tmp_git_repo, monkeypatch):
+    """Env var > project_map > git remote > basename."""
+    from _project import resolve_project_id, save_project_mapping
+
+    # Git remote gives "mem0ai-mem0"
+    assert resolve_project_id(str(tmp_git_repo)) == "mem0ai-mem0"
+
+    # project_map overrides git remote
+    save_project_mapping(str(tmp_git_repo), "from-map")
+    assert resolve_project_id(str(tmp_git_repo)) == "from-map"
+
+    # Env var overrides everything
+    monkeypatch.setenv("MEM0_PROJECT_ID", "from-env")
+    assert resolve_project_id(str(tmp_git_repo)) == "from-env"

mem0-plugin/tests/test_session_stats.py

@@ -0,0 +1,143 @@
+"""Tests for session_stats.py — session-level memory operation tracker."""
+
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+import sys
+
+import pytest
+
+SCRIPTS_DIR = os.path.join(os.path.dirname(__file__), "..", "scripts")
+
+
+@pytest.fixture(autouse=True)
+def _isolate_stats_file(tmp_path, monkeypatch):
+    """Point STATS_FILE to a temp location so tests don't interfere."""
+    stats_file = str(tmp_path / "test_stats.json")
+    monkeypatch.setattr("session_stats.STATS_FILE", stats_file)
+    yield stats_file
+
+
+def test_init_creates_file(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    assert os.path.isfile(_isolate_stats_file)
+    with open(_isolate_stats_file) as f:
+        data = json.load(f)
+    assert data["adds"] == 0
+    assert data["searches"] == 0
+    assert data["categories"] == []
+
+
+def test_record_add_increments(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    session_stats.record_add("bug_fixes")
+    session_stats.record_add("bug_fixes")
+    session_stats.record_add("decisions")
+
+    with open(_isolate_stats_file) as f:
+        data = json.load(f)
+    assert data["adds"] == 3
+    assert set(data["categories"]) == {"bug_fixes", "decisions"}
+
+
+def test_record_search_increments(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    session_stats.record_search()
+    session_stats.record_search()
+
+    with open(_isolate_stats_file) as f:
+        data = json.load(f)
+    assert data["searches"] == 2
+
+
+def test_report_returns_summary(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    session_stats.record_add("architecture_decisions")
+    session_stats.record_add("task_learnings")
+    session_stats.record_search()
+    session_stats.record_search()
+    session_stats.record_search()
+
+    result = session_stats.report()
+    assert "wrote 2 memories" in result
+    assert "retrieved 3" in result
+    assert "architecture_decisions" in result
+    assert "task_learnings" in result
+
+
+def test_report_empty_session(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    result = session_stats.report()
+    assert result == ""
+
+
+def test_report_cleans_up_file(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    session_stats.record_add()
+    session_stats.report()
+    assert not os.path.isfile(_isolate_stats_file)
+
+
+def test_record_add_no_category(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    session_stats.record_add("")
+    session_stats.record_add()
+
+    with open(_isolate_stats_file) as f:
+        data = json.load(f)
+    assert data["adds"] == 2
+    assert data["categories"] == []
+
+
+def test_duplicate_categories_not_added(_isolate_stats_file):
+    import session_stats
+
+    session_stats.init()
+    session_stats.record_add("bug_fixes")
+    session_stats.record_add("bug_fixes")
+    session_stats.record_add("bug_fixes")
+
+    with open(_isolate_stats_file) as f:
+        data = json.load(f)
+    assert data["adds"] == 3
+    assert data["categories"] == ["bug_fixes"]
+
+
+def test_cli_init(tmp_path):
+    """Test CLI invocation: session_stats.py init."""
+    env = {**os.environ, "USER": "test"}
+    result = subprocess.run(
+        [sys.executable, os.path.join(SCRIPTS_DIR, "session_stats.py"), "init"],
+        capture_output=True,
+        text=True,
+        env=env,
+    )
+    assert result.returncode == 0
+
+
+def test_cli_report_no_data(tmp_path):
+    """Test CLI invocation: report with no prior init prints fallback."""
+    env = {**os.environ, "USER": f"test_{os.getpid()}"}
+    result = subprocess.run(
+        [sys.executable, os.path.join(SCRIPTS_DIR, "session_stats.py"), "report"],
+        capture_output=True,
+        text=True,
+        env=env,
+    )
+    assert result.returncode == 0

mem0-ts/src/client/mem0.types.ts

@@ -22,6 +22,7 @@ export interface SearchMemoryOptions {
   topK?: number;
   threshold?: number;
   rerank?: boolean;
+  latestOnly?: boolean;
   fields?: string[];
   categories?: string[];
 }
@@ -32,6 +33,7 @@ export interface GetAllMemoryOptions {
   pageSize?: number;
   startDate?: string;
   endDate?: string;
+  latestOnly?: boolean;
   categories?: string[];
 }
 

mem0-ts/src/client/tests/memoryClient.search.test.ts

@@ -63,6 +63,24 @@ describe("MemoryClient - search()", () => {
     expect(getFetchBody(call!).filters).toEqual({ user_id: "u1" });
   });
 
+  test("serializes latestOnly as latest_only", async () => {
+    const extra = new Map<string, { status: number; body: unknown }>();
+    extra.set("/v3/memories/search/", {
+      status: 200,
+      body: { results: [] },
+    });
+    const mock = setupMockFetch(extra);
+
+    const client = new MemoryClient({ apiKey: TEST_API_KEY });
+    await client.search("test", {
+      filters: { user_id: "u1" },
+      latestOnly: true,
+    });
+
+    const call = findFetchCall(mock, "/v3/memories/search/", "POST");
+    expect(getFetchBody(call!).latest_only).toBe(true);
+  });
+
   test("passes complex OR filters through to the API body", async () => {
     const extra = new Map<string, { status: number; body: unknown }>();
     extra.set("/v3/memories/search/", {
@@ -264,4 +282,22 @@ describe("MemoryClient - getAll() entity param rejection", () => {
     await client.getAll({ filters: { user_id: "u1" } });
     expect(findFetchCall(mock, "/v3/memories/", "POST")).toBeDefined();
   });
+
+  test("serializes latestOnly as latest_only", async () => {
+    const extra = new Map<string, { status: number; body: unknown }>();
+    extra.set("/v3/memories/", {
+      status: 200,
+      body: { results: [] },
+    });
+    const mock = setupMockFetch(extra);
+
+    const client = new MemoryClient({ apiKey: TEST_API_KEY });
+    await client.getAll({
+      filters: { user_id: "u1" },
+      latestOnly: true,
+    });
+
+    const call = findFetchCall(mock, "/v3/memories/", "POST");
+    expect(getFetchBody(call!).latest_only).toBe(true);
+  });
 });

pyproject.toml

@@ -156,3 +156,4 @@ known_first_party = ["mem0", "mem0_cli"]
 # isort scope kept aligned with [tool.ruff.lint.isort] above.
 # black-equivalent profile here matches the formatter behaviour ruff applies.
 # Plugin-version bumps need a touch here to fire required CI checks (path-filter trap).
+# Last touched: plugin v0.1.3