chore: touch pyproject.toml to fire Python SDK CI for plugin-only PR

Plugin paths are filtered out of every CI workflow. Same path-filter
trap and same workaround as #5094.

README.md

@@ -86,25 +86,7 @@ See the [migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) for upgra
 
 ## 🚀 Quickstart Guide <a name="quickstart"></a>
 
-### Sign up as an agent
+> **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.
-
-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 |
 |---|---------|-------------------|----------------|
@@ -153,7 +135,6 @@ 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/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mem0/cli",
-  "version": "0.2.6",
+  "version": "0.2.5",
   "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 at app.mem0.ai with your existing credentials.")}`,
+				`  ${dim("Tip: this email already has a Mem0 account. Sign in there and run `mem0 link <key>` to attach this agent.")}`,
 			);
 		}
 		process.exit(1);

cli/python/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "mem0-cli"
-version = "0.2.6"
+version = "0.2.5"
 description = "The official CLI for mem0 — the memory layer for AI agents"
 readme = "README.md"
 license = "Apache-2.0"

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 at app.mem0.ai with your existing credentials.[/]"
+                f"  [{DIM_COLOR}]Tip: this email already has a Mem0 account. Sign in there and run `mem0 link <key>` to attach this agent.[/]"
             )
         raise typer.Exit(1)
 

docs/changelog/sdk.mdx

@@ -1323,17 +1323,10 @@ 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:**
-- **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents — mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
+- **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents — mints a working Mem0 API key in <5s with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
 - **Self-declared agent identity:** Agents pass `--agent-caller <name>` (e.g. `claude-code`, `cursor`, `codex`) on `mem0 init --agent` so signups attribute to the right tool in analytics. Proof Editor-style — the agent declares itself rather than the CLI sniffing it from env vars ([#5123](https://github.com/mem0ai/mem0/pull/5123))
 - **`mem0 identify <name>`:** New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass `--agent-caller` on init. Idempotent — re-running just overwrites ([#5123](https://github.com/mem0ai/mem0/pull/5123))
 - **Plugin sync:** `~/.claude/settings.json::env::MEM0_API_KEY` and `~/.zshrc`/`.bashrc` `export MEM0_API_KEY=` lines stay in sync with `~/.mem0/config.json` automatically. Idempotent — only updates EXISTING entries, never creates new ones ([#5123](https://github.com/mem0ai/mem0/pull/5123))

docs/docs.json

@@ -40,7 +40,6 @@
                     "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/agent-signup"
+      href="/platform/cli"
       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="Sign up as an agent thumbnail"
+        alt="CLI thumbnail"
         style={{pointerEvents: "none"}}
       />
       <img
         className="hidden dark:block aspect-[2/1] w-full object-cover"
         src="/images/docs thumbnails/dark/CLI.png"
-        alt="Sign up as an agent thumbnail"
+        alt="CLI 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">
-          Sign up as an agent
+          CLI
         </h3>
         <p className="text-sm text-gray-600 dark:text-zinc-400">
-          For AI agents: mint a Mem0 API key in under five seconds — no email, no dashboard. Four commands to your first memory.
+          Manage memories directly from your terminal. Built for developers and AI agents.
         </p>
       </div>
     </a>

docs/llms.txt

@@ -159,7 +159,6 @@ 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

@@ -14,15 +14,11 @@ 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**: Audit logs, workspace governance, and dedicated support
+  - **Enterprise Ready**: SOC2 Type II compliance, GDPR support, audit logs
   - **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
@@ -38,21 +34,7 @@ Move your Mem0 implementation to managed infrastructure with enterprise features
 
 ## Migrate
 
-### 1. Import Memories Into Platform
+### 1. Install or Update SDK
-
-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.
 
@@ -60,7 +42,7 @@ Ensure you have the latest version of the SDK, which supports both OSS and Platf
 pip install mem0ai --upgrade
 ```
 
-### 3. Update Initialization
+### 2. Update Initialization
 
 Switch from the local `Memory` class to the managed `MemoryClient`.
 
@@ -93,7 +75,7 @@ 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>
 
-### 4. Update Retrieval Calls (Critical)
+### 3. 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

@@ -1,106 +0,0 @@
----
-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

@@ -25,10 +25,6 @@ pip install mem0-cli
 ```
 </CodeGroup>
 
-<Tip>
-**Looking for Agent Mode signup?** See [Sign up as an agent](/platform/agent-signup) — install, signup, first memory in four commands.
-</Tip>
-
 ## Authentication
 
 Run the interactive setup wizard to configure your API key:
@@ -99,10 +95,6 @@ mem0 init --api-key m0-xxx --user-id alice --force
 | `--code` | Verification code (use with `--email` for non-interactive login) |
 | `--force` | Overwrite existing config without confirmation |
 
-<Note>
-AI agents should use `mem0 init --agent` — see [Sign up as an agent](/platform/agent-signup).
-</Note>
-
 ### `mem0 add`
 
 Add a memory from text, a JSON messages array, a file, or stdin.

docs/platform/faqs.mdx

@@ -142,24 +142,6 @@ 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**: Audit logs and workspace governance ship by default for production readiness.
+- **Enterprise controls**: SOC 2, 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 | Audit logs, workspace governance, and dedicated support keep security and governance covered. |
+    | Enterprise ready | SOC 2 Type II, GDPR compliance, and dedicated support keep security and governance covered. |
   </Accordion>
 </AccordionGroup>
 

docs/platform/quickstart.mdx

@@ -7,10 +7,6 @@ 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-ts/src/client/mem0.types.ts

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

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

@@ -63,24 +63,6 @@ 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/", {
@@ -282,22 +264,4 @@ 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);
-  });
 });

mem0/__init__.py

@@ -4,3 +4,5 @@ __version__ = importlib.metadata.version("mem0ai")
 
 from mem0.client.main import AsyncMemoryClient, MemoryClient  # noqa
 from mem0.memory.main import AsyncMemory, Memory  # noqa
+
+