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Author SHA1 Message Date
rudrajmehta-mem0 8296c06206 docs: remove deprecated Graph Memory references
Graph Memory was deprecated on April 16, 2026. This removes remaining
mentions across docs that could mislead readers into thinking it is still
a supported feature.

- Platform pages (overview, quickstart, faqs, platform-vs-oss, vibecoding):
  remove graph memory from feature lists, comparison table, and intro copy
- Platform features (platform-overview, mcp-integration,
  advanced-memory-operations): rephrase "graph-powered retrieval" to
  "advanced retrieval"; drop "Enable graph memories" tip; remove graph-edge
  verification step from the metadata example
- Core concepts (add, search, memory-types, memory-evaluation): remove
  "optional graph storage" / "graph features" / "graph writes" / "graph
  toggles"; drop "graph" from Entity Search description; remove outdated
  add/search architecture diagrams (replacement pending)
- Open source features (overview, rest-api): remove "graph relationships"
  and "graph backend(s)" from REST server config narrative
- API reference (organizations-projects): drop "graph settings" from
  Update Project Settings description
- Cookbooks: remove "Graph Memory on Neptune" card (page removed) and
  Neptune mention from AWS Bedrock card; remove "Graph Capabilities"
  bullet from Gemini cookbook; remove graph-memory conditional bullet from
  controlling-memory-ingestion
- CLI: remove --graph / --no-graph flags from mem0 add / mem0 search
  flag tables and MEM0_ENABLE_GRAPH env var
- Images: delete orphan add_architecture.png and search_architecture.png
2026-05-27 18:26:36 -07:00
36 changed files with 507 additions and 1853 deletions
+1 -1
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@@ -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": "0.2.8"
"version": "0.2.7"
}
]
}
+1 -1
View File
@@ -12,7 +12,7 @@
"name": "mem0",
"source": "./mem0-plugin",
"description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search.",
"version": "0.2.8"
"version": "0.2.7"
}
]
}
-44
View File
@@ -1,44 +0,0 @@
name: Publish @mem0/opencode-plugin 📦 to npm
on:
release:
types: [published]
jobs:
build-n-publish:
name: Build and publish @mem0/opencode-plugin 📦 to npm
if: startsWith(github.event.release.tag_name, 'opencode-v')
runs-on: ubuntu-latest
permissions:
id-token: write
defaults:
run:
working-directory: mem0-plugin/.opencode-plugin
steps:
- uses: actions/checkout@v4
- name: Install Bun
uses: oven-sh/setup-bun@v2
with:
bun-version: latest
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: '22'
registry-url: 'https://registry.npmjs.org'
- name: Install dependencies
run: bun install --frozen-lockfile
- name: Build
run: bun run build
- name: Publish to npm
run: |
if [ "${{ github.event.release.prerelease }}" = "true" ]; then
PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
npx npm@latest publish --provenance --access public --tag "$PREID"
else
npx npm@latest publish --provenance --access public
fi
@@ -1,40 +0,0 @@
name: opencode-plugin checks
on:
workflow_dispatch:
push:
branches: [main]
paths:
- 'mem0-plugin/.opencode-plugin/**'
- '.github/workflows/opencode-plugin-checks.yml'
pull_request:
paths:
- 'mem0-plugin/.opencode-plugin/**'
- '.github/workflows/opencode-plugin-checks.yml'
jobs:
build:
runs-on: ubuntu-latest
defaults:
run:
working-directory: mem0-plugin/.opencode-plugin
steps:
- uses: actions/checkout@v4
- name: Install Bun
uses: oven-sh/setup-bun@v2
with:
bun-version: latest
- name: Install dependencies
run: bun install --frozen-lockfile
- name: Type check
run: bun run type-check
- name: Build
run: bun run build
- name: Verify dist output exists
run: |
test -f dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
-2
View File
@@ -413,7 +413,6 @@ To add a new LLM, embedding, vector store, or reranker provider:
| Python CLI | `cli-python-ci.yml` | Push to `cli/python/`, PRs, manual | Ruff lint + pytest + hatch build on Python 3.10, 3.11, 3.12 |
| Node CLI | `cli-node-ci.yml` | Push to `cli/node/`, PRs, manual | Biome lint + tsc + vitest + tsup build on Node 20, 22 |
| OpenClaw | `openclaw-checks.yml` | Push to `openclaw/`, PRs, manual | tsc + vitest (with Codecov) + tsup build on Node 20, 22 |
| OpenCode Plugin | `opencode-plugin-checks.yml` | Push to `mem0-plugin/.opencode-plugin/`, PRs, manual | Bun: tsc type-check + build + dist artifact check |
### CD Workflows (automated publishing)
@@ -425,7 +424,6 @@ To add a new LLM, embedding, vector store, or reranker provider:
| Node CLI | `cli-node-cd.yml` | `cli-node-v*` | npm (`@mem0/cli`) |
| Vercel AI SDK | `vercel-ai-cd.yml` | `vercel-ai-v*` | npm (`@mem0/vercel-ai-provider`) |
| OpenClaw | `openclaw-cd.yml` | `openclaw-v*` | npm (`@mem0/openclaw-mem0`) |
| OpenCode Plugin | `opencode-plugin-cd.yml` | `opencode-v*` | npm (`@mem0/opencode-plugin`) |
- All publishing uses **OIDC trusted publishing** — no tokens or secrets required.
- First publish of a new npm package must be done manually; OIDC works for subsequent versions.
+32 -9
View File
@@ -24,22 +24,45 @@ echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc && source ~/.bashrc
## Installation
**Option A — degit** (recommended):
**Option A — degit** (one command, no clone needed):
```bash
# Install the plugin (MCP server, hooks, scripts)
npx degit mem0ai/mem0/mem0-plugin ~/.gemini/config/plugins/mem0
npx degit mem0ai/mem0/mem0-plugin/.antigravity ~/.gemini/config/plugins/mem0
```
This installs the MCP server, lifecycle hooks, and shared scripts.
**Option B — agy CLI** (if you have the repo cloned):
```bash
agy plugin install /path/to/mem0/mem0-plugin/.antigravity
```
**Option C — MCP only** (no hooks or skills):
Create `~/.gemini/config/plugins/mem0/plugin.json`:
```json
{
"name": "mem0",
"mcpServers": {
"mem0": {
"serverUrl": "https://mcp.mem0.ai/mcp/",
"headers": { "Authorization": "Token ${MEM0_API_KEY}" }
}
}
}
```
Restart Antigravity. The full plugin auto-registers the MCP server, lifecycle hooks, scripts, and all `/mem0:` skills. It reads `MEM0_API_KEY` from your environment automatically — no extra config needed.
## What's Included
| Component | Included |
|-----------|:--------:|
| MCP Server (9 memory tools) | Yes |
| Lifecycle Hooks | Yes |
| 16 Slash Commands | Yes |
| Component | Full Plugin (A/B) | MCP Only (C) |
|-----------|:-----------------:|:------------:|
| MCP Server (9 memory tools) | Yes | Yes |
| Lifecycle Hooks | Yes | No |
| 16 Slash Commands | Yes | No |
## Available MCP Tools
+4
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@@ -67,6 +67,10 @@ If you only need the memory tools without hooks or skills, add this to your `ope
}
```
<Info icon="check">
Start a new OpenCode session and ask: *"Search my memories for hello"*. If the `mem0` tools appear and respond, you're all set.
</Info>
## What's Included
| Component | Plugin (A) | MCP Only (B) |
@@ -4,7 +4,22 @@ description: Fine-grained metadata queries for precise OSS memory retrieval.
icon: "filter"
---
Enhanced metadata filtering in Mem0 lets you run complex queries across memory metadata. Combine comparisons, logical operators, and wildcard matches to zero in on the exact memories your agent needs.
Enhanced metadata filtering in Mem0 1.0.0 lets you run complex queries across memory metadata. Combine comparisons, logical operators, and wildcard matches to zero in on the exact memories your agent needs.
<Info>
**You’ll use this when…**
- Retrieval must respect multiple metadata conditions before returning context.
- You need to mix numeric, boolean, and string filters in a single query.
- Agents rely on deterministic filtering instead of broad semantic search alone.
</Info>
<Warning>
Enhanced filtering requires Mem0 1.0.0 or later and a vector store that supports the operators you enable. Unsupported operators fall back to simple equality filters.
</Warning>
<Note>
The TypeScript SDK accepts the same filter shape shown here—transpose the dictionaries to objects and reuse the keys unchanged.
</Note>
---
@@ -133,8 +148,8 @@ Combine filters with `AND`, `OR`, and `NOT` to express complex decision trees. N
results = m.search(
"complex query",
filters={
"user_id": "alice",
"AND": [
{"user_id": "alice"},
{"category": "work"},
{"priority": {"gte": 7}},
{"status": {"ne": "completed"}}
@@ -146,11 +161,15 @@ results = m.search(
results = m.search(
"flexible query",
filters={
"user_id": "alice",
"OR": [
{"category": "urgent"},
{"priority": {"gte": 9}},
{"deadline": {"contains": "today"}}
"AND": [
{"user_id": "alice"},
{
"OR": [
{"category": "urgent"},
{"priority": {"gte": 9}},
{"deadline": {"contains": "today"}}
]
}
]
}
)
@@ -159,10 +178,14 @@ results = m.search(
results = m.search(
"exclusion query",
filters={
"user_id": "alice",
"NOT": [
{"category": "archived"},
{"status": "deleted"}
"AND": [
{"user_id": "alice"},
{
"NOT": [
{"category": "archived"},
{"status": "deleted"}
]
}
]
}
)
@@ -171,8 +194,8 @@ results = m.search(
results = m.search(
"advanced query",
filters={
"user_id": "alice",
"AND": [
{"user_id": "alice"},
{
"OR": [
{"category": "work"},
@@ -225,8 +248,8 @@ config = {
```python
# More efficient: Filter on indexed fields first
good_filters = {
"user_id": "alice",
"AND": [
{"user_id": "alice"},
{"category": "work"},
{"content": {"contains": "meeting"}}
]
@@ -234,9 +257,9 @@ good_filters = {
# Less efficient: Complex operations first
avoid_filters = {
"user_id": "alice",
"AND": [
{"description": {"icontains": "complex text search"}}
{"description": {"icontains": "complex text search"}},
{"user_id": "alice"}
]
}
```
@@ -279,8 +302,8 @@ results = m.search(
results = m.search(
"query",
filters={
"user_id": "alice",
"AND": [
{"user_id": "alice"},
{"category": "work"},
{"status": {"ne": "archived"}},
{"priority": {"gte": 5}}
@@ -304,8 +327,8 @@ results = m.search(
results = m.search(
"What tasks need attention?",
filters={
"user_id": "project_manager",
"AND": [
{"user_id": "project_manager"},
{"project": {"in": ["alpha", ""]}},
{"priority": {"gte": 8}},
{"status": {"ne": "completed"}},
@@ -331,8 +354,8 @@ results = m.search(
results = m.search(
"pending support issues",
filters={
"agent_id": "support_bot",
"AND": [
{"agent_id": "support_bot"},
{"ticket_status": {"ne": "resolved"}},
{"priority": {"in": ["high", "critical"]}},
{"created_date": {"gte": "2024-01-01"}},
@@ -357,8 +380,8 @@ results = m.search(
results = m.search(
"recommend content",
filters={
"user_id": "reader123",
"AND": [
{"user_id": "reader123"},
{
"OR": [
{"genre": {"in": ["sci-fi", "fantasy"]}},
+10
View File
@@ -0,0 +1,10 @@
{
"mcpServers": {
"mem0": {
"serverUrl": "https://mcp.mem0.ai/mcp/",
"headers": {
"Authorization": "Token ${MEM0_API_KEY}"
}
}
}
}
+1
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@@ -0,0 +1 @@
../scripts
+1
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@@ -0,0 +1 @@
../skills
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "mem0",
"version": "0.2.8",
"version": "0.2.7",
"description": "Persistent memory for Claude Code. Remembers decisions, patterns, and preferences across sessions.",
"author": {
"name": "Mem0",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "mem0",
"version": "0.2.8",
"version": "0.2.7",
"description": "Persistent memory for Codex. Remembers decisions, patterns, and preferences across sessions.",
"author": {
"name": "Mem0",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "mem0",
"version": "0.2.8",
"version": "0.2.7",
"description": "Mem0 memory layer for AI applications. Add persistent memory, personalization, and semantic search using the Mem0 Platform MCP server.",
"author": {
"name": "Mem0",
-765
View File
@@ -1,765 +0,0 @@
{
"lockfileVersion": 1,
"configVersion": 1,
"workspaces": {
"": {
"name": "@mem0/opencode-plugin",
"dependencies": {
"@opencode-ai/plugin": "^1.0.162",
"mem0ai": "^3.0.5",
},
"devDependencies": {
"bun-types": ">=1.3.14",
"typescript": "^5.7.3",
},
"peerDependencies": {
"bun": ">=1.0.0",
},
},
},
"packages": {
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"natural/redis/@redis/search": ["@redis/search@5.12.1", "", { "peerDependencies": { "@redis/client": "^5.12.1" } }, "sha512-ItlxbxC9cKI6IU1TLWoczwJCRb6TdmkEpWv05UrPawqaAnWGRu3rcIqsc5vN483T2fSociuyV1UkWIL5I4//2w=="],
"natural/redis/@redis/time-series": ["@redis/time-series@5.12.1", "", { "peerDependencies": { "@redis/client": "^5.12.1" } }, "sha512-c6JL6E3EcZJuNqKFz+KM+l9l5mpcQiKvTwgA3blt5glWJ8hjDk0yeHN3beE/MpqYIQ8UEX44ItQzgkE/gCBELQ=="],
"openai/@types/node/undici-types": ["undici-types@5.26.5", "", {}, "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="],
"pg/pg-types/postgres-array": ["postgres-array@2.0.0", "", {}, "sha512-VpZrUqU5A69eQyW2c5CA1jtLecCsN2U/bD6VilrFDWq5+5UIEVO7nazS3TEcHf1zuPYO/sqGvUvW62g86RXZuA=="],
"pg/pg-types/postgres-bytea": ["postgres-bytea@1.0.1", "", {}, "sha512-5+5HqXnsZPE65IJZSMkZtURARZelel2oXUEO8rH83VS/hxH5vv1uHquPg5wZs8yMAfdv971IU+kcPUczi7NVBQ=="],
"pg/pg-types/postgres-date": ["postgres-date@1.0.7", "", {}, "sha512-suDmjLVQg78nMK2UZ454hAG+OAW+HQPZ6n++TNDUX+L0+uUlLywnoxJKDou51Zm+zTCjrCl0Nq6J9C5hP9vK/Q=="],
"pg/pg-types/postgres-interval": ["postgres-interval@1.2.0", "", { "dependencies": { "xtend": "^4.0.0" } }, "sha512-9ZhXKM/rw350N1ovuWHbGxnGh/SNJ4cnxHiM0rxE4VN41wsg8P8zWn9hv/buK00RP4WvlOyr/RBDiptyxVbkZQ=="],
"natural/pg/pg-types/postgres-array": ["postgres-array@2.0.0", "", {}, "sha512-VpZrUqU5A69eQyW2c5CA1jtLecCsN2U/bD6VilrFDWq5+5UIEVO7nazS3TEcHf1zuPYO/sqGvUvW62g86RXZuA=="],
"natural/pg/pg-types/postgres-bytea": ["postgres-bytea@1.0.1", "", {}, "sha512-5+5HqXnsZPE65IJZSMkZtURARZelel2oXUEO8rH83VS/hxH5vv1uHquPg5wZs8yMAfdv971IU+kcPUczi7NVBQ=="],
"natural/pg/pg-types/postgres-date": ["postgres-date@1.0.7", "", {}, "sha512-suDmjLVQg78nMK2UZ454hAG+OAW+HQPZ6n++TNDUX+L0+uUlLywnoxJKDou51Zm+zTCjrCl0Nq6J9C5hP9vK/Q=="],
"natural/pg/pg-types/postgres-interval": ["postgres-interval@1.2.0", "", { "dependencies": { "xtend": "^4.0.0" } }, "sha512-9ZhXKM/rw350N1ovuWHbGxnGh/SNJ4cnxHiM0rxE4VN41wsg8P8zWn9hv/buK00RP4WvlOyr/RBDiptyxVbkZQ=="],
}
}
+77 -163
View File
@@ -1,14 +1,9 @@
// Mem0 memory plugin for OpenCode: captures and recalls memories across sessions
// (add / search / manage) via the Mem0 platform, wired through OpenCode plugin hooks.
import type { Plugin } from "@opencode-ai/plugin";
import { MemoryClient } from "mem0ai";
import { userInfo } from "os";
import { basename, resolve, dirname } from "path";
import { randomBytes } from "crypto";
import { existsSync, readdirSync, cpSync, mkdirSync, readFileSync, writeFileSync } from "fs";
import { homedir } from "os";
import { join } from "path";
import { createHash } from "crypto";
import { existsSync, readdirSync, cpSync } from "fs";
async function getUserId(): Promise<string> {
if (process.env.MEM0_USER_ID) return process.env.MEM0_USER_ID;
@@ -66,68 +61,6 @@ function redact(text: string): string {
return out;
}
function loadGlobalSearch(): boolean {
try {
const settingsPath = join(homedir(), ".mem0", "settings.json");
if (!existsSync(settingsPath)) return false;
const settings = JSON.parse(readFileSync(settingsPath, "utf8"));
return settings.global_search === true;
} catch {}
return false;
}
const CODING_CATEGORIES = [
"architecture_decisions", "api_design", "data_models", "algorithms",
"dependencies", "environment_setup", "testing_strategy", "debugging_notes",
"performance", "security", "deployment", "code_conventions",
"error_handling", "refactoring_history", "integrations", "onboarding",
"project_meta",
];
function categoriesFingerprint(): string {
const sorted = [...CODING_CATEGORIES].sort();
return createHash("sha256").update(sorted.join("\n")).digest("hex").slice(0, 16);
}
function apiKeyFingerprint(apiKey: string): string {
return createHash("sha256").update(apiKey).digest("hex").slice(0, 16);
}
async function autoSetupCategories(mem0: MemoryClient, apiKey: string): Promise<void> {
const stateDir = join(homedir(), ".mem0");
const stateFile = join(stateDir, "categories_setup.json");
const keyFp = apiKeyFingerprint(apiKey);
const catFp = categoriesFingerprint();
let state: Record<string, string> = {};
try {
if (existsSync(stateFile)) {
state = JSON.parse(readFileSync(stateFile, "utf8"));
}
} catch {}
if (state[keyFp] === catFp) return;
try {
const project = await mem0.getProject({ fields: ["customCategories"] });
const existing: string[] = (project as any)?.custom_categories ?? (project as any)?.customCategories ?? [];
const sortedExisting = [...existing].sort();
const sortedTarget = [...CODING_CATEGORIES].sort();
if (JSON.stringify(sortedExisting) === JSON.stringify(sortedTarget)) {
state[keyFp] = catFp;
mkdirSync(stateDir, { recursive: true });
writeFileSync(stateFile, JSON.stringify(state, null, 2) + "\n");
return;
}
await mem0.updateProject({ customCategories: CODING_CATEGORIES as any });
state[keyFp] = catFp;
mkdirSync(stateDir, { recursive: true });
writeFileSync(stateFile, JSON.stringify(state, null, 2) + "\n");
} catch {}
}
const NUDGE_RE =
/\b(remember\s+(this|that)|memorize|save\s+this|note\s+(this|that)|don'?t\s+forget|always\s+remember|never\s+forget|keep\s+(this|that)\s+in\s+(mind|memory)|store\s+(this|that))\b/i;
@@ -182,7 +115,7 @@ function installSkills(projectDir: string): void {
const skills = readdirSync(srcSkills, { withFileTypes: true });
for (const entry of skills) {
if (!entry.isDirectory()) continue;
const dest = resolve(destSkills, `mem0-${entry.name}`);
const dest = resolve(destSkills, entry.name);
if (existsSync(dest)) continue;
cpSync(resolve(srcSkills, entry.name), dest, { recursive: true });
}
@@ -195,24 +128,24 @@ function installSkills(projectDir: string): void {
if (!existsSync(skillMd)) continue;
let desc = "Mem0 " + entry.name + " skill";
try {
const content = readFileSync(skillMd, "utf8");
const content = require("fs").readFileSync(skillMd, "utf8");
const m = content.match(/^description:\s*(.+)$/m);
if (m) desc = m[1].trim();
} catch {}
const cmdContent = `---\ndescription: ${desc}\n---\nLoad and follow the skill at .opencode/skills/mem0-${entry.name}/SKILL.md\n\nUse the mem0 MCP tools (search_memories, get_memories, add_memory, delete_memory, update_memory, list_entities, delete_entities, get_event_status) to execute the skill instructions.\n\nIdentity context (from environment):\n- user_id: Use MEM0_USER_ID env var, or fall back to $USER\n- app_id: Use MEM0_APP_ID env var\n- session_id: Use MEM0_SESSION_ID env var\n- branch: Use MEM0_BRANCH env var\n`;
const cmdContent = `---\ndescription: ${desc}\n---\nLoad and follow the skill at .opencode/skills/${entry.name}/SKILL.md\n\nUse the mem0 MCP tools (search_memories, get_memories, add_memory, delete_memory, update_memory, list_entities, delete_entities, get_event_status) to execute the skill instructions.\n\nIdentity context (from environment):\n- user_id: Use MEM0_USER_ID env var, or fall back to $USER\n- app_id: Use MEM0_APP_ID env var\n- session_id: Use MEM0_SESSION_ID env var\n- branch: Use MEM0_BRANCH env var\n`;
try {
mkdirSync(destCommands, { recursive: true });
writeFileSync(cmdFile, cmdContent, "utf8");
require("fs").mkdirSync(destCommands, { recursive: true });
require("fs").writeFileSync(cmdFile, cmdContent, "utf8");
} catch {}
}
} catch {}
}
const Mem0Plugin: Plugin = async (ctx) => {
export const Mem0Plugin: Plugin = async (ctx) => {
const { $, client } = ctx;
try {
const projectDir = (ctx as any).directory ?? process.cwd();
const projectDir = (ctx as any).directory ?? (ctx as any).worktree ?? process.cwd();
installSkills(projectDir);
} catch {}
@@ -238,7 +171,6 @@ const Mem0Plugin: Plugin = async (ctx) => {
const branch = await getBranch($);
const stats = { adds: 0, searches: 0, messages: 0 };
const sessionId = generateSessionId();
const globalSearch = loadGlobalSearch();
let initialized = false;
let memoryCount = 0;
@@ -246,9 +178,6 @@ const Mem0Plugin: Plugin = async (ctx) => {
const systemContext: string[] = [];
// Auto-configure coding categories in background (idempotent, never blocks)
Promise.resolve().then(() => autoSetupCategories(mem0, apiKey)).catch(() => {});
return {
"chat.message": async (input: any, output: any) => {
const userText = extractUserText(input, output);
@@ -261,13 +190,11 @@ const Mem0Plugin: Plugin = async (ctx) => {
if (!initialized) {
initialized = true;
const searchFilters = globalSearch
? { OR: [{ user_id: "*" }] }
: { AND: [{ user_id: userId }, { app_id: appId }] };
try {
const all = await mem0.getAll({
filters: searchFilters,
filters: {
AND: [{ user_id: userId }, { app_id: appId }],
},
page: 1,
pageSize: 1,
});
@@ -276,15 +203,12 @@ const Mem0Plugin: Plugin = async (ctx) => {
(all as any)?.results?.length ??
0;
if (globalSearch) {
systemContext.push(
`Global search is ON — searches return all memories across all users and projects. Writes still use user_id="${userId}", app_id="${appId}".`,
);
} else {
systemContext.push(
`Always include user_id="${userId}" and app_id="${appId}" in every search_memories filter and add_memory call.`,
);
}
systemContext.push(
`Mem0 Active | user=${userId} | project=${appId} | branch=${branch} | memories=${memoryCount}`,
);
systemContext.push(
`Always include user_id="${userId}" and app_id="${appId}" in every search_memories filter and add_memory call.`,
);
if (memoryCount === 0) {
systemContext.push(
@@ -300,7 +224,9 @@ const Mem0Plugin: Plugin = async (ctx) => {
const res = await mem0.search(
"recent session state decisions and learnings",
{
filters: searchFilters,
filters: {
AND: [{ user_id: userId }, { app_id: appId }],
},
topK: 5,
},
);
@@ -340,21 +266,25 @@ const Mem0Plugin: Plugin = async (ctx) => {
const hasResume = RESUME_RE.test(safeText);
if (hasResume) {
try {
const resumeFilters = globalSearch
? { OR: [{ user_id: "*" }] }
: {
const [stateRes, decisionsRes] = await Promise.all([
mem0.search("session state current task", {
filters: {
AND: [
{ user_id: userId },
{ app_id: appId },
{ metadata: { type: "session_state" } },
],
};
const [stateRes, decisionsRes] = await Promise.all([
mem0.search("session state current task", {
filters: resumeFilters,
},
topK: 3,
}),
mem0.search("recent decisions and learnings", {
filters: resumeFilters,
filters: {
AND: [
{ user_id: userId },
{ app_id: appId },
{ metadata: { type: "decision" } },
],
},
topK: 3,
}),
]);
@@ -380,11 +310,8 @@ const Mem0Plugin: Plugin = async (ctx) => {
if (!hasResume && memoryCount > 0) {
try {
const msgFilters = globalSearch
? { OR: [{ user_id: "*" }] }
: { AND: [{ user_id: userId }, { app_id: appId }] };
const res = await mem0.search(safeText, {
filters: msgFilters,
filters: { AND: [{ user_id: userId }, { app_id: appId }] },
topK: 5,
});
stats.searches++;
@@ -423,23 +350,14 @@ const Mem0Plugin: Plugin = async (ctx) => {
}
},
"experimental.chat.messages.transform": async (
"experimental.chat.system.transform": async (
_input: any,
output: { messages: { info: any; parts: any[] }[] },
output: { system: string[] },
) => {
if (systemContext.length === 0 || !output?.messages?.length) return;
const firstUser = output.messages.find(
(m) => m.info.role === "user",
);
if (!firstUser || !firstUser.parts.length) return;
const marker = "## Mem0 Memory Context";
if (firstUser.parts.some((p: any) => p.type === "text" && p.text?.includes(marker))) return;
const block = `${marker}\n\n${systemContext.join("\n\n")}`;
const ref = firstUser.parts[0];
firstUser.parts.unshift({ ...ref, type: "text", text: block });
if (systemContext.length > 0 && output?.system) {
const block = `## Mem0 Memory Context\n\n${systemContext.join("\n\n")}`;
output.system.push(block);
}
},
"tool.execute.before": async (input: any, output: any) => {
@@ -475,36 +393,32 @@ const Mem0Plugin: Plugin = async (ctx) => {
}
if (isMem0SearchOrGet(toolName)) {
if (globalSearch) {
output.args.filters = { OR: [{ user_id: "*" }] };
} else {
const existingFilters = output.args.filters;
if (existingFilters === undefined || existingFilters === null) {
output.args.filters = {
AND: [{ user_id: userId }, { app_id: appId }],
};
} else if (typeof existingFilters === "object") {
const andClauses: any[] = existingFilters.AND;
if (Array.isArray(andClauses)) {
const hasUid = andClauses.some(
(c: any) => c && typeof c === "object" && "user_id" in c,
const existingFilters = output.args.filters;
if (existingFilters === undefined || existingFilters === null) {
output.args.filters = {
AND: [{ user_id: userId }, { app_id: appId }],
};
} else if (typeof existingFilters === "object") {
const andClauses: any[] = existingFilters.AND;
if (Array.isArray(andClauses)) {
const hasUid = andClauses.some(
(c: any) => c && typeof c === "object" && "user_id" in c,
);
const hasAid = andClauses.some(
(c: any) => c && typeof c === "object" && "app_id" in c,
);
if (!hasUid) andClauses.push({ user_id: userId });
if (!hasAid) andClauses.push({ app_id: appId });
} else if (andClauses === undefined) {
const hasUid = "user_id" in existingFilters;
const hasAid = "app_id" in existingFilters;
if (!hasUid || !hasAid) {
const existing = Object.entries(existingFilters).map(
([k, v]) => ({ [k]: v }),
);
const hasAid = andClauses.some(
(c: any) => c && typeof c === "object" && "app_id" in c,
);
if (!hasUid) andClauses.push({ user_id: userId });
if (!hasAid) andClauses.push({ app_id: appId });
} else if (andClauses === undefined) {
const hasUid = "user_id" in existingFilters;
const hasAid = "app_id" in existingFilters;
if (!hasUid || !hasAid) {
const existing = Object.entries(existingFilters).map(
([k, v]) => ({ [k]: v }),
);
if (!hasUid) existing.push({ user_id: userId });
if (!hasAid) existing.push({ app_id: appId });
output.args.filters = { AND: existing };
}
if (!hasUid) existing.push({ user_id: userId });
if (!hasAid) existing.push({ app_id: appId });
output.args.filters = { AND: existing };
}
}
}
@@ -559,21 +473,25 @@ const Mem0Plugin: Plugin = async (ctx) => {
const errorQuery = errorLine.slice(0, 80);
if (errorQuery.length < 10) return;
const errorFilters = globalSearch
? { OR: [{ user_id: "*" }] }
: {
const [antiPatternRes, bugFixRes] = await Promise.all([
mem0.search(`error: ${errorQuery}`, {
filters: {
AND: [
{ user_id: userId },
{ app_id: appId },
{ metadata: { type: "anti_pattern" } },
],
};
const [antiPatternRes, bugFixRes] = await Promise.all([
mem0.search(`error: ${errorQuery}`, {
filters: errorFilters,
},
topK: 3,
}),
mem0.search(`error: ${errorQuery}`, {
filters: errorFilters,
filters: {
AND: [
{ user_id: userId },
{ app_id: appId },
{ metadata: { type: "bug_fix" } },
],
},
topK: 3,
}),
]);
@@ -628,11 +546,8 @@ const Mem0Plugin: Plugin = async (ctx) => {
} catch {}
});
const compactFilters = globalSearch
? { OR: [{ user_id: "*" }] }
: { AND: [{ user_id: userId }, { app_id: appId }] };
const res = await mem0.search("session state decisions learnings", {
filters: compactFilters,
filters: { AND: [{ user_id: userId }, { app_id: appId }] },
topK: 10,
});
const memories = extractMemories(res);
@@ -654,7 +569,6 @@ const Mem0Plugin: Plugin = async (ctx) => {
output.env.MEM0_APP_ID = appId;
output.env.MEM0_SESSION_ID = sessionId;
output.env.MEM0_BRANCH = branch;
output.env.MEM0_GLOBAL_SEARCH = globalSearch ? "true" : "false";
}
},
};
@@ -149,9 +149,9 @@ See the [migration guide](https://docs.mem0.ai/migration/platform-v2-to-v3) for
For the latest docs beyond what's in the references, use the doc search tool:
```bash
bun ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.ts --query "topic"
bun ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.ts --page "/platform/features/graph-memory"
bun ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.ts --index
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --query "topic"
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --page "/platform/features/graph-memory"
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --index
```
No API key needed — searches docs.mem0.ai directly.
@@ -0,0 +1,224 @@
#!/usr/bin/env python3
"""
Mem0 Documentation Search Agent (Mintlify-based)
On-demand search tool for querying Mem0 documentation without storing content locally.
This tool leverages Mintlify's documentation structure to perform just-in-time
retrieval of technical information from docs.mem0.ai.
Usage:
python mem0_doc_search.py --query "how to add graph memory"
python mem0_doc_search.py --query "filter syntax for categories"
python mem0_doc_search.py --page "/platform/features/graph-memory"
python mem0_doc_search.py --index
python mem0_doc_search.py --query "webhook events" --section platform
Purpose:
- Avoid bloating local context with full documentation
- Enable just-in-time retrieval of technical details
- Query specific documentation pages on demand
- Search across the full Mem0 documentation site
"""
import argparse
import json
import sys
import urllib.error
import urllib.parse
import urllib.request
DOCS_BASE = "https://docs.mem0.ai"
SEARCH_ENDPOINT = f"{DOCS_BASE}/api/search"
LLMS_INDEX = f"{DOCS_BASE}/llms.txt"
# Known documentation sections for targeted retrieval
SECTION_MAP = {
"platform": [
"/platform/overview",
"/platform/quickstart",
"/platform/features",
"/platform/features/graph-memory",
"/platform/features/selective-memory",
"/platform/features/custom-categories",
"/platform/features/v2-memory-filters",
"/platform/features/async-client",
"/platform/features/webhooks",
"/platform/features/multimodal-support",
],
"api": [
"/api-reference/memory/add-memories",
"/api-reference/memory/v2-search-memories",
"/api-reference/memory/v2-get-memories",
"/api-reference/memory/get-memory",
"/api-reference/memory/update-memory",
"/api-reference/memory/delete-memory",
],
"open-source": [
"/open-source/overview",
"/open-source/python-quickstart",
"/open-source/node-quickstart",
"/open-source/features",
"/open-source/features/graph-memory",
"/open-source/features/rest-api",
"/open-source/configure-components",
],
"openmemory": [
"/openmemory/overview",
"/openmemory/quickstart",
],
"sdks": [
"/sdks/python",
"/sdks/js",
],
"integrations": [
"/integrations",
],
}
def fetch_url(url: str) -> str:
"""Fetch content from a URL."""
req = urllib.request.Request(url, headers={"User-Agent": "Mem0DocSearchAgent/1.0"})
try:
with urllib.request.urlopen(req, timeout=15) as resp:
return resp.read().decode("utf-8")
except urllib.error.HTTPError as e:
return f"HTTP Error {e.code}: {e.reason}"
except urllib.error.URLError as e:
return f"URL Error: {e.reason}"
def search_docs(query: str, section: str | None = None) -> dict:
"""
Search Mem0 documentation using Mintlify's search API.
Falls back to the llms.txt index for keyword matching if the API is unavailable.
"""
# Try Mintlify search API first
params = urllib.parse.urlencode({"query": query})
search_url = f"{SEARCH_ENDPOINT}?{params}"
try:
result = fetch_url(search_url)
data = json.loads(result)
if isinstance(data, dict) and data.get("results"):
results = data["results"]
if section and section in SECTION_MAP:
section_paths = SECTION_MAP[section]
results = [r for r in results if any(r.get("url", "").startswith(p) for p in section_paths)]
return {"source": "mintlify_search", "results": results}
except (json.JSONDecodeError, Exception):
pass
# Fallback: search llms.txt index for matching URLs
index_content = fetch_url(LLMS_INDEX)
query_lower = query.lower()
matching_urls = []
for line in index_content.splitlines():
line = line.strip()
if not line or line.startswith("#"):
continue
if query_lower in line.lower():
matching_urls.append(line)
if section and section in SECTION_MAP:
section_paths = SECTION_MAP[section]
matching_urls = [u for u in matching_urls if any(p in u for p in section_paths)]
return {
"source": "llms_txt_index",
"query": query,
"matching_urls": matching_urls[:20],
"suggestion": "Fetch specific URLs for detailed content",
}
def fetch_page(page_path: str) -> dict:
"""Fetch a specific documentation page."""
url = f"{DOCS_BASE}{page_path}" if page_path.startswith("/") else page_path
content = fetch_url(url)
return {"url": url, "content": content[:10000], "truncated": len(content) > 10000}
def get_index() -> dict:
"""Fetch the full documentation index from llms.txt."""
content = fetch_url(LLMS_INDEX)
urls = [line.strip() for line in content.splitlines() if line.strip() and not line.startswith("#")]
return {"total_pages": len(urls), "urls": urls, "sections": list(SECTION_MAP.keys())}
def list_section(section: str) -> dict:
"""List all known pages in a documentation section."""
if section not in SECTION_MAP:
return {"error": f"Unknown section: {section}", "available": list(SECTION_MAP.keys())}
return {
"section": section,
"pages": [f"{DOCS_BASE}{p}" for p in SECTION_MAP[section]],
}
def main():
parser = argparse.ArgumentParser(description="Search Mem0 documentation on demand")
parser.add_argument("--query", help="Search query for documentation")
parser.add_argument("--page", help="Fetch a specific page path (e.g., /platform/features/graph-memory)")
parser.add_argument("--index", action="store_true", help="Show full documentation index")
parser.add_argument("--section", help="Filter by section or list section pages")
parser.add_argument("--json", action="store_true", help="Output as JSON")
args = parser.parse_args()
if args.index:
result = get_index()
elif args.section and not args.query:
result = list_section(args.section)
elif args.page:
result = fetch_page(args.page)
elif args.query:
result = search_docs(args.query, section=args.section)
else:
parser.print_help()
sys.exit(1)
if args.json:
print(json.dumps(result, indent=2))
else:
if isinstance(result, dict):
if "results" in result:
print(f"Source: {result.get('source', 'unknown')}")
for r in result["results"]:
print(f" - {r.get('title', 'N/A')}: {r.get('url', 'N/A')}")
if r.get("description"):
print(f" {r['description'][:200]}")
elif "matching_urls" in result:
print(f"Source: {result['source']}")
print(f"Query: {result['query']}")
for url in result["matching_urls"]:
print(f" - {url}")
if result.get("suggestion"):
print(f"\n{result['suggestion']}")
elif "urls" in result:
print(f"Total documentation pages: {result['total_pages']}")
print(f"Sections: {', '.join(result['sections'])}")
for url in result["urls"][:30]:
print(f" - {url}")
if result["total_pages"] > 30:
print(f" ... and {result['total_pages'] - 30} more")
elif "pages" in result:
print(f"Section: {result['section']}")
for page in result["pages"]:
print(f" - {page}")
elif "content" in result:
print(f"URL: {result['url']}")
if result.get("truncated"):
print("[Content truncated to 10000 chars]")
print(result["content"])
elif "error" in result:
print(f"Error: {result['error']}")
if result.get("available"):
print(f"Available sections: {', '.join(result['available'])}")
else:
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()
@@ -1,181 +0,0 @@
#!/usr/bin/env bun
export {};
const DOCS_BASE = "https://docs.mem0.ai";
const SEARCH_ENDPOINT = `${DOCS_BASE}/api/search`;
const LLMS_INDEX = `${DOCS_BASE}/llms.txt`;
const SECTION_MAP: Record<string, string[]> = {
platform: [
"/platform/overview",
"/platform/quickstart",
"/platform/features",
"/platform/features/graph-memory",
"/platform/features/selective-memory",
"/platform/features/custom-categories",
"/platform/features/v2-memory-filters",
"/platform/features/async-client",
"/platform/features/webhooks",
"/platform/features/multimodal-support",
],
api: [
"/api-reference/memory/add-memories",
"/api-reference/memory/v2-search-memories",
"/api-reference/memory/v2-get-memories",
"/api-reference/memory/get-memory",
"/api-reference/memory/update-memory",
"/api-reference/memory/delete-memory",
],
"open-source": [
"/open-source/overview",
"/open-source/python-quickstart",
"/open-source/node-quickstart",
"/open-source/features",
"/open-source/features/graph-memory",
"/open-source/features/rest-api",
"/open-source/configure-components",
],
openmemory: [
"/openmemory/overview",
"/openmemory/quickstart",
],
sdks: ["/sdks/python", "/sdks/js"],
integrations: ["/integrations"],
};
async function fetchUrl(url: string): Promise<string> {
try {
const res = await fetch(url, {
headers: { "User-Agent": "Mem0DocSearchAgent/1.0" },
signal: AbortSignal.timeout(15000),
});
if (!res.ok) return `HTTP Error ${res.status}: ${res.statusText}`;
return await res.text();
} catch (e: any) {
return `Error: ${e.message}`;
}
}
async function searchDocs(query: string, section?: string) {
const params = new URLSearchParams({ query });
try {
const result = await fetchUrl(`${SEARCH_ENDPOINT}?${params}`);
const data = JSON.parse(result);
if (data?.results) {
let results = data.results;
if (section && SECTION_MAP[section]) {
const paths = SECTION_MAP[section];
results = results.filter((r: any) =>
paths.some((p) => r.url?.startsWith(p)),
);
}
return { source: "mintlify_search", results };
}
} catch {}
const indexContent = await fetchUrl(LLMS_INDEX);
const queryLower = query.toLowerCase();
let matching = indexContent
.split("\n")
.map((l) => l.trim())
.filter((l) => l && !l.startsWith("#") && l.toLowerCase().includes(queryLower));
if (section && SECTION_MAP[section]) {
const paths = SECTION_MAP[section];
matching = matching.filter((u) => paths.some((p) => u.includes(p)));
}
return {
source: "llms_txt_index",
query,
matching_urls: matching.slice(0, 20),
suggestion: "Fetch specific URLs for detailed content",
};
}
async function fetchPage(pagePath: string) {
const url = pagePath.startsWith("/") ? `${DOCS_BASE}${pagePath}` : pagePath;
const content = await fetchUrl(url);
return { url, content: content.slice(0, 10000), truncated: content.length > 10000 };
}
async function getIndex() {
const content = await fetchUrl(LLMS_INDEX);
const urls = content
.split("\n")
.map((l) => l.trim())
.filter((l) => l && !l.startsWith("#"));
return { total_pages: urls.length, urls, sections: Object.keys(SECTION_MAP) };
}
function listSection(section: string) {
if (!SECTION_MAP[section]) {
return { error: `Unknown section: ${section}`, available: Object.keys(SECTION_MAP) };
}
return { section, pages: SECTION_MAP[section].map((p) => `${DOCS_BASE}${p}`) };
}
function printResult(result: any) {
if (result.results) {
console.log(`Source: ${result.source ?? "unknown"}`);
for (const r of result.results) {
console.log(` - ${r.title ?? "N/A"}: ${r.url ?? "N/A"}`);
if (r.description) console.log(` ${r.description.slice(0, 200)}`);
}
} else if (result.matching_urls) {
console.log(`Source: ${result.source}`);
console.log(`Query: ${result.query}`);
for (const url of result.matching_urls) console.log(` - ${url}`);
if (result.suggestion) console.log(`\n${result.suggestion}`);
} else if (result.urls) {
console.log(`Total documentation pages: ${result.total_pages}`);
console.log(`Sections: ${result.sections.join(", ")}`);
for (const url of result.urls.slice(0, 30)) console.log(` - ${url}`);
if (result.total_pages > 30) console.log(` ... and ${result.total_pages - 30} more`);
} else if (result.pages) {
console.log(`Section: ${result.section}`);
for (const page of result.pages) console.log(` - ${page}`);
} else if (result.content) {
console.log(`URL: ${result.url}`);
if (result.truncated) console.log("[Content truncated to 10000 chars]");
console.log(result.content);
} else if (result.error) {
console.log(`Error: ${result.error}`);
if (result.available) console.log(`Available sections: ${result.available.join(", ")}`);
} else {
console.log(JSON.stringify(result, null, 2));
}
}
const args = process.argv.slice(2);
const flags: Record<string, string | boolean> = {};
for (let i = 0; i < args.length; i++) {
if (args[i] === "--query" && args[i + 1]) flags.query = args[++i];
else if (args[i] === "--page" && args[i + 1]) flags.page = args[++i];
else if (args[i] === "--section" && args[i + 1]) flags.section = args[++i];
else if (args[i] === "--index") flags.index = true;
else if (args[i] === "--json") flags.json = true;
}
let result: any;
if (flags.index) {
result = await getIndex();
} else if (flags.section && !flags.query) {
result = listSection(flags.section as string);
} else if (flags.page) {
result = await fetchPage(flags.page as string);
} else if (flags.query) {
result = await searchDocs(flags.query as string, flags.section as string | undefined);
} else {
console.log("Usage:");
console.log(" bun scripts/mem0_doc_search.ts --query \"topic\"");
console.log(" bun scripts/mem0_doc_search.ts --page \"/platform/features/graph-memory\"");
console.log(" bun scripts/mem0_doc_search.ts --index");
console.log(" bun scripts/mem0_doc_search.ts --section platform");
process.exit(1);
}
if (flags.json) {
console.log(JSON.stringify(result, null, 2));
} else {
printResult(result);
}
@@ -128,38 +128,58 @@ If `add_memory` calls fail, print:
- Project file import failed. Check API key and MCP connection, then retry with: /mem0:onboard
```
## Step 5: Verify coding categories
## Step 5: Set up coding categories
Coding categories are now configured automatically in the background when the plugin starts. This step only verifies they are set up.
Ask: "Install coding categories optimized for development workflows? [Y/n]"
Check if the categories are already configured by searching for a project_profile memory:
If the user says no or skips, print `- Coding categories skipped.` and proceed to Step 6.
Call `search_memories` with `query="coding categories project profile"`, `filters={"AND": [{"user_id": "<active_user_id>"}, {"app_id": "<active_project_id>"}]}`, `top_k=1`.
If yes, store a project profile memory that records the project and its active coding categories. Call `add_memory` once with:
If a project_profile memory is found, print:
```
- Coding categories already configured (17 categories, auto-installed).
```
If no project_profile memory is found, store one as a fallback. Call `add_memory` once with:
- `data`: a plain-text description of the project profile and the list of active coding categories:
```
Project profile for <project_id>.
Active coding categories: architecture_decisions, api_design, data_models,
algorithms, dependencies, environment_setup, testing_strategy, debugging_notes,
performance, security, deployment, code_conventions, error_handling,
refactoring_history, integrations, onboarding, project_meta.
```
- `data`: a plain-text description of the project profile and the list of active coding categories (see below)
- `user_id`: the active user id
- `app_id`: the active project id
- `metadata`: `{"type": "project_profile", "source": "onboard"}`
The standard set of 17 coding categories to include in the `data` field:
```
architecture_decisions - High-level design choices and system structure
api_design - Interface contracts, REST/GraphQL/RPC conventions
data_models - Schemas, entity definitions, relationships
algorithms - Non-trivial logic, performance-sensitive routines
dependencies - Libraries, versions, upgrade notes
environment_setup - Dev environment, tooling, build system
testing_strategy - Test patterns, coverage targets, mocking approach
debugging_notes - Known issues, workarounds, gotchas
performance - Bottlenecks, profiling results, optimizations
security - Auth patterns, secret handling, threat notes
deployment - CI/CD pipelines, infra config, release process
code_conventions - Naming, formatting, style rules beyond the linter
error_handling - Error taxonomy, recovery patterns, logging approach
refactoring_history - Past rewrites, why changes were made
integrations - Third-party services, webhooks, external APIs
onboarding - New-contributor notes, repo orientation
project_meta - Goals, non-goals, stakeholder context
```
Example `data` value:
```
Project profile for <project_id>.
Active coding categories: architecture_decisions, api_design, data_models,
algorithms, dependencies, environment_setup, testing_strategy, debugging_notes,
performance, security, deployment, code_conventions, error_handling,
refactoring_history, integrations, onboarding, project_meta.
```
After the `add_memory` call succeeds, print:
```
- Coding categories installed (17 categories).
```
If `add_memory` fails, print the error and suggest re-running `/mem0:onboard`.
## Step 6: Summary
Print a summary:
@@ -1,75 +1,18 @@
---
name: switch-project
description: Overrides the auto-detected project scope to read and write memories under a different project ID, or enables global search to access all memories across all users and projects. Use when working across multiple projects, accessing memories from another repo, enabling team-wide memory access, or when auto-detection resolves to the wrong project.
description: Overrides the auto-detected project scope to read and write memories under a different project ID. Use when working across multiple projects, accessing memories from another repo, or when auto-detection resolves to the wrong project.
---
# Mem0 Switch Project
Override the automatic project_id detection for the current directory, or enable global search mode.
Override the automatic project_id detection for the current directory.
## Usage
- `/mem0:switch-project <project-name>` — switch to a specific project scope
- `/mem0:switch-project --global` — enable global search (all memories, all users, all projects)
- `/mem0:switch-project --no-global` — disable global search and return to per-project scoping
The user provides a project name as an argument: `/mem0:switch-project <project-name>`
## Execution
### If `--global` flag is provided:
1. Set `global_search: true` in `~/.mem0/settings.json` using the Bash tool:
```bash
python3 -c "
import json, os
settings_file = os.path.expanduser('~/.mem0/settings.json')
settings = {}
if os.path.isfile(settings_file):
with open(settings_file) as f:
settings = json.load(f)
settings['global_search'] = True
with open(settings_file, 'w') as f:
json.dump(settings, f, indent=2)
print('Global search enabled')
"
```
2. Print:
```
Global search enabled.
Searches now return all memories across all users and projects.
Writes still use the current user_id and app_id.
Restart the session for the change to take effect.
```
### If `--no-global` flag is provided:
1. Set `global_search: false` in `~/.mem0/settings.json` using the Bash tool:
```bash
python3 -c "
import json, os
settings_file = os.path.expanduser('~/.mem0/settings.json')
settings = {}
if os.path.isfile(settings_file):
with open(settings_file) as f:
settings = json.load(f)
settings['global_search'] = False
with open(settings_file, 'w') as f:
json.dump(settings, f, indent=2)
print('Global search disabled')
"
```
2. Print:
```
Global search disabled.
Searches now return only memories scoped to the current project.
Restart the session for the change to take effect.
```
### If a project name is provided (no flags):
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:
+3 -6
View File
@@ -1,6 +1,6 @@
{
"name": "@mem0/opencode-plugin",
"version": "0.1.2",
"version": "0.1.0",
"type": "module",
"description": "Mem0 persistent memory plugin for OpenCode — add, search, and manage memories across sessions",
"main": "dist/index.js",
@@ -14,9 +14,6 @@
"bin": {
"mem0-opencode": "./cli.ts"
},
"publishConfig": {
"access": "public"
},
"license": "Apache-2.0",
"keywords": [
"opencode",
@@ -37,7 +34,7 @@
"cli.ts",
"opencode.json",
"LICENSE",
"opencode-skills"
"opencode-skills/**"
],
"scripts": {
"build": "bun build opencode-mem0.ts --outdir dist --target bun --format esm --entry-naming index.[ext] && tsc --emitDeclarationOnly --outDir dist --declaration",
@@ -52,7 +49,7 @@
"chat.message",
"tool.execute.before",
"tool.execute.after",
"experimental.chat.messages.transform",
"experimental.chat.system.transform",
"experimental.session.compacting",
"shell.env"
]
+2 -2
View File
@@ -15,6 +15,6 @@
"noEmit": false,
"emitDeclarationOnly": true
},
"include": ["**/*"],
"exclude": ["node_modules", "dist"]
"include": ["opencode-mem0.ts"],
"exclude": ["node_modules", "dist", "cli.ts", "skills"]
}
-18
View File
@@ -2,24 +2,6 @@
All notable changes to the Mem0 plugin will be documented in this file.
## 0.2.8 — Automatic coding categories & global search
### Added
- **Global search mode (`global_search` setting):** New `global_search` toggle in `~/.mem0/settings.json` (default: `false`). When enabled, `search_memories` and `get_memories` calls use `{"OR": [{"user_id": "*"}]}` instead of the per-user per-project `AND` filter — returning all memories across all users and all `app_id` scopes in the platform project. Writes (`add_memory`) still tag with the current `user_id` and `app_id`. Solves the team-shared-memory use case where multiple team members need access to all memories regardless of which repo or user created them. Works on Claude Code, Cursor, and Codex (not OpenCode, which has its own TypeScript identity logic).
- **`/mem0:switch-project --global` / `--no-global`:** Enables or disables global search via the switch-project skill. Persists to `~/.mem0/settings.json`. No manual config editing needed.
- **Session banner scope indicator:** Banner shows `scope=global` when global search is active instead of `project=<app_id>`.
- **Global-aware memory count:** Session start memory count query uses the global filter when `global_search` is enabled.
- **Background coding-category setup (`scripts/auto_setup_categories.py`):** The coding-focused category taxonomy (17 categories tuned for development work) is now installed automatically in the background on session start — the same way `auto_import.py` imports `CLAUDE.md`/`AGENTS.md`. Users are no longer asked to configure it during onboarding. Mirrors the auto-import design: resolves the API key, holds a lock file (`~/.mem0/categories_setup.lock`), reuses the proven `setup_coding_categories.py` taxonomy + `project.update` path via the plugin venv, logs to stderr only, and always exits 0 so it can never block a session.
- **Per-account state gating (`~/.mem0/categories_setup.json`):** Keyed by a hash of the API key → a hash of the taxonomy. Categories are scoped to the mem0 project tied to the API key (not the local repo), so setup runs once per account and skips all network calls thereafter — re-applying only if the taxonomy itself changes.
- **`tests/test_auto_setup_categories.py`:** Covers fingerprint determinism/sensitivity, state-file load/save/gating, and idempotent apply via an injected fake client (no SDK, no network).
### Changed
- **`on_session_start.sh`:** Spawns `auto_setup_categories.py` in the background on `startup` (alongside `auto_import.py`), preferring the venv python so the SDK is available. Covers Claude Code, Cursor, and Codex, which all route SessionStart through this script.
- **`/mem0:onboard` Step 5 is no longer interactive:** Removed the `Install coding categories? [Y/n]` prompt. Categories now configure automatically in the background; the onboarding step only verifies status and applies them if the background run hasn't finished yet — mirroring how Step 4 (project-file import) already works.
- **Session-start "new project" hint** now notes that coding categories install automatically in the background.
## 0.1.0 — OpenCode & Antigravity
### Added
+36 -17
View File
@@ -186,14 +186,35 @@ See [OpenCode integration docs](https://docs.mem0.ai/integrations/opencode) for
### Antigravity (Google)
**Option A — degit** (recommended):
**Option A — degit** (recommended, one command):
```bash
# Install the plugin (MCP server, hooks, scripts)
npx degit mem0ai/mem0/mem0-plugin ~/.gemini/config/plugins/mem0
npx degit mem0ai/mem0/mem0-plugin/.antigravity ~/.gemini/config/plugins/mem0
```
This installs the MCP server, lifecycle hooks, and shared scripts.
**Option B — agy CLI** (if you have the repo cloned locally):
```bash
agy plugin install /path/to/mem0/mem0-plugin/.antigravity
```
Both install the MCP server, lifecycle hooks, all 16 skills, and shared scripts.
**Option C — MCP only** (no hooks or skills) — create `~/.gemini/config/plugins/mem0/plugin.json`:
```json
{
"name": "mem0",
"mcpServers": {
"mem0": {
"serverUrl": "https://mcp.mem0.ai/mcp/",
"headers": { "Authorization": "Token ${MEM0_API_KEY}" }
}
}
}
```
All options read `MEM0_API_KEY` from your environment automatically.
See [Antigravity integration docs](https://docs.mem0.ai/integrations/antigravity) for full details.
@@ -244,11 +265,11 @@ The plugin includes 17 skills accessible via `/mem0:` commands:
## What's included
| Component | Claude Code / Cowork | Cursor (Marketplace) | Cursor (Deeplink/Manual) | Codex (Sideload) | Codex (Direct MCP) | OpenCode (Full) | OpenCode (MCP) | Antigravity |
|-----------|:--------------------:|:--------------------:|:------------------------:|:----------------:|:------------------:|:---------------:|:--------------:|:-----------:|
| MCP Server | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Lifecycle Hooks | Yes | Yes | No | Opt-in | No | Yes | No | Yes |
| Mem0 SDK Skill | Yes | Yes | No | Yes | No | Yes | No | Yes |
| Component | Claude Code / Cowork | Cursor (Marketplace) | Cursor (Deeplink/Manual) | Codex (Sideload) | Codex (Direct MCP) | OpenCode (Full) | OpenCode (MCP) | Antigravity (A/B) | Antigravity (C) |
|-----------|:--------------------:|:--------------------:|:------------------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------------:|:-----------------:|
| MCP Server | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Lifecycle Hooks | Yes | Yes | No | Opt-in | No | Yes | No | Yes | No |
| Mem0 SDK Skill | Yes | Yes | No | Yes | No | Yes | No | Yes | No |
- **MCP Server** — Connects to the Mem0 remote MCP server (`mcp.mem0.ai`), providing tools to add, search, update, and delete memories. No local dependencies required.
- **Lifecycle Hooks** — Automatic memory capture at key points. Claude Code, Cursor, OpenCode, and Antigravity wire hooks natively when the full plugin is installed. Codex hooks are opt-in via a one-time installer (`scripts/install_codex_hooks.py`).
@@ -262,27 +283,25 @@ When the plugin updates (new version pulled from the marketplace, or a fresh loc
- **Cursor:** quit and relaunch.
- **Codex:** restart the editor session.
- **OpenCode:** restart the session.
- **Antigravity:** restart the session.
- **Antigravity:** restart the session, or re-run `agy plugin install /path/to/mem0/mem0-plugin/.antigravity`.
Your `MEM0_API_KEY` doesn't need to be re-entered — the auth header is re-read from your environment on the new session. The plugin's MCP config uses `${MEM0_API_KEY}` interpolation at session start, not at install time, so as long as the env var is set persistently (in your shell profile or `~/.claude/settings.json` `env` block), reconnection is automatic on restart.
If reconnection still fails after a restart, check that `MEM0_API_KEY` is reachable in the new shell (`echo $MEM0_API_KEY`) and confirm you're using a key that starts with `m0-` (from https://app.mem0.ai/dashboard/api-keys, not a legacy token).
## Coding-tuned categories (automatic)
## Optional: tune categories for coding workflows
mem0 auto-tags every memory with one or more `categories` from a project-level list. The default list is consumer-oriented (`food`, `hobbies`, `music` …) — useful for chat assistants, less so for code. **The plugin installs a coding-focused taxonomy automatically in the background on session start** — no prompt, no manual step. New memories then auto-tag against 17 development-oriented categories: `architecture_decisions`, `anti_patterns`, `task_learnings`, `tooling_setup`, `bug_fixes`, `coding_conventions`, `user_preferences`, `dependency_decisions`, `performance_findings`, `security_constraints`, `testing_patterns`, `data_model`, `api_contracts`, `deployment_runbook`, `team_norms`, `domain_glossary`, `experiment_results`.
The background setup is idempotent and runs once per account (cached in `~/.mem0/categories_setup.json`); it re-applies only if the taxonomy itself changes. To preview the taxonomy or force a refresh manually:
mem0 auto-tags every memory with one or more `categories` from a project-level list. The default list is consumer-oriented (`food`, `hobbies`, `music` …) — useful for chat assistants, less so for code. A one-shot script in this plugin replaces it with a coding-focused taxonomy:
```bash
# Dry-run -- prints current vs proposed, no changes:
# Dry-run first -- prints current vs proposed, no changes:
python mem0-plugin/scripts/setup_coding_categories.py
# Write explicitly:
# Actually write:
python mem0-plugin/scripts/setup_coding_categories.py --apply
```
Requires the `mem0ai` Python SDK (`pip install mem0ai`) and `MEM0_API_KEY` set. `project.update(custom_categories=[...])` always replaces the full list.
Requires the `mem0ai` Python SDK (`pip install mem0ai`) and `MEM0_API_KEY` set. New memories will then auto-tag against `architecture_decisions`, `anti_patterns`, `task_learnings`, `tooling_setup`, `bug_fixes`, `coding_conventions`, `user_preferences`. Re-run with a different list any time; `project.update(custom_categories=[...])` always replaces.
## MCP Tools
+1 -3
View File
@@ -70,7 +70,6 @@ if command -v python3 >/dev/null 2>&1; then
MEM0_SEARCH_LIMIT=$(echo "$_SETTINGS_JSON" | python3 -c "import sys,json; print(json.load(sys.stdin).get('search_limit',10))" 2>/dev/null || echo "10")
MEM0_RETENTION_SESSION_DAYS=$(echo "$_SETTINGS_JSON" | python3 -c "import sys,json; print(json.load(sys.stdin).get('retention_session_days',90))" 2>/dev/null || echo "90")
MEM0_CONFIDENCE_THRESHOLD=$(echo "$_SETTINGS_JSON" | python3 -c "import sys,json; print(json.load(sys.stdin).get('confidence_threshold',0.3))" 2>/dev/null || echo "0.3")
MEM0_GLOBAL_SEARCH=$(echo "$_SETTINGS_JSON" | python3 -c "import sys,json; print(str(json.load(sys.stdin).get('global_search',False)).lower())" 2>/dev/null || echo "false")
MEM0_DEBUG=$(echo "$_SETTINGS_JSON" | python3 -c "import sys,json; print(str(json.load(sys.stdin).get('debug',False)).lower())" 2>/dev/null || echo "false")
else
MEM0_AUTO_SAVE="true"
@@ -78,10 +77,9 @@ else
MEM0_SEARCH_LIMIT="10"
MEM0_RETENTION_SESSION_DAYS="90"
MEM0_CONFIDENCE_THRESHOLD="0.3"
MEM0_GLOBAL_SEARCH="false"
MEM0_DEBUG="false"
fi
export MEM0_AUTO_SAVE MEM0_AUTO_SEARCH MEM0_SEARCH_LIMIT MEM0_RETENTION_SESSION_DAYS MEM0_CONFIDENCE_THRESHOLD MEM0_GLOBAL_SEARCH MEM0_DEBUG
export MEM0_AUTO_SAVE MEM0_AUTO_SEARCH MEM0_SEARCH_LIMIT MEM0_RETENTION_SESSION_DAYS MEM0_CONFIDENCE_THRESHOLD MEM0_DEBUG
# Also resolve project context
. "$_SCRIPT_DIR/_project.sh"
@@ -1,236 +0,0 @@
#!/usr/bin/env python3
"""Auto-configure mem0's coding-category taxonomy in the background.
Runs from the SessionStart hook (startup only), exactly like auto_import.py.
mem0 auto-tags every memory with `categories`; by default that list is
consumer-oriented (food, hobbies, ...), which is useless for code. This script
replaces it with the coding-focused taxonomy defined in
``setup_coding_categories.CODING_CATEGORIES`` so search and retrieval are tuned
for development work — without the user ever being asked during onboarding.
Design (mirrors auto_import.py):
- Resolve the API key; do nothing if it is absent.
- Gate on a state file (``~/.mem0/categories_setup.json``) keyed by a hash of
the API key -> a hash of the taxonomy. Categories are scoped to the mem0
*project* tied to the API key (NOT to the local repo), so this only needs to
run once per account, and re-runs only if the taxonomy itself changes.
- Hold a lock file so concurrent sessions don't race.
- Reuse the proven SDK path (``client.project.update``) via the plugin venv.
- Always exit 0; log to stderr only. Must never block a session.
Run with no arguments (background) or in the foreground for onboarding to print
a parseable status line.
Requires MEM0_API_KEY (or CLAUDE_PLUGIN_OPTION_API_KEY) and the mem0ai SDK,
which ensure_deps.sh installs into ${CLAUDE_PLUGIN_DATA}/venv on session start.
"""
from __future__ import annotations
import hashlib
import json
import logging
import os
import sys
import time
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
# Importing setup_coding_categories also injects the plugin venv's site-packages
# onto sys.path (its module-level bootstrap), so ``from mem0 import MemoryClient``
# works even when this script is run with the system python3.
from _identity import resolve_api_key # noqa: E402
from setup_coding_categories import CODING_CATEGORIES, _categories_match # noqa: E402
log = logging.getLogger("mem0-auto-categories")
log.setLevel(logging.DEBUG)
_handler = logging.StreamHandler(sys.stderr)
_handler.setFormatter(logging.Formatter("[mem0-auto-categories] %(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-categories] %(asctime)s %(message)s"))
log.addHandler(_file_handler)
except OSError:
pass
STATE_FILE = os.path.expanduser("~/.mem0/categories_setup.json")
LOCK_FILE = os.path.expanduser("~/.mem0/categories_setup.lock")
# --------------------------------------------------------------------------- #
# Fingerprints #
# --------------------------------------------------------------------------- #
def categories_fingerprint(categories: list = CODING_CATEGORIES) -> str:
"""Stable, order-independent 16-hex digest of the category taxonomy.
Reordering the categories yields the same fingerprint; adding, removing, or
editing a category changes it (so the taxonomy re-applies on upgrade).
"""
pairs = sorted(
(str(key), str(value))
for entry in categories
if isinstance(entry, dict)
for key, value in entry.items()
)
payload = json.dumps(pairs, sort_keys=True, ensure_ascii=False)
return hashlib.sha256(payload.encode("utf-8")).hexdigest()[:16]
def apikey_fingerprint(api_key: str) -> str:
"""Opaque 16-hex digest of the API key. Never stores the key itself."""
return hashlib.sha256(api_key.encode("utf-8")).hexdigest()[:16]
# --------------------------------------------------------------------------- #
# State file #
# --------------------------------------------------------------------------- #
def load_state(path: str = STATE_FILE) -> dict:
"""Load the apikey-fingerprint -> categories-fingerprint map; {} on any error."""
if not os.path.isfile(path):
return {}
try:
with open(path) as f:
data = json.load(f)
return data if isinstance(data, dict) else {}
except (OSError, json.JSONDecodeError):
return {}
def save_state(state: dict, path: str = STATE_FILE) -> None:
"""Persist the state map, creating the parent directory if needed."""
parent = os.path.dirname(path)
if parent:
try:
os.makedirs(parent, exist_ok=True)
except OSError as e:
log.warning("Could not create state dir: %s", e)
return
try:
with open(path, "w") as f:
json.dump(state, f, indent=2)
except OSError as e:
log.warning("Could not save categories state: %s", e)
def is_applied(state: dict, key_fp: str, cat_fp: str) -> bool:
"""True only when this API key has already had this exact taxonomy applied."""
return state.get(key_fp) == cat_fp
# --------------------------------------------------------------------------- #
# SDK interaction (client injected for testability) #
# --------------------------------------------------------------------------- #
def make_client():
"""Construct a MemoryClient. Imported lazily so this module loads without the SDK."""
from mem0 import MemoryClient
return MemoryClient()
def fetch_current_categories(client) -> list | None:
"""Return the project's current custom_categories, or None if unavailable."""
current = client.project.get(fields=["custom_categories"])
if isinstance(current, dict):
return current.get("custom_categories")
return None
def apply_categories(client, proposed: list = CODING_CATEGORIES) -> str:
"""Install the coding taxonomy if it isn't already in place.
Returns "already-configured" when the project already matches (no write), or
"applied" after a successful ``project.update``. Raises on API failure.
"""
current = fetch_current_categories(client)
if _categories_match(current, proposed):
return "already-configured"
client.project.update(custom_categories=proposed)
return "applied"
# --------------------------------------------------------------------------- #
# Lock (mirrors auto_import.py) #
# --------------------------------------------------------------------------- #
def _acquire_lock() -> bool:
"""Try to acquire a file lock. Returns False if another instance is running."""
try:
os.makedirs(os.path.dirname(LOCK_FILE), exist_ok=True)
fd = os.open(LOCK_FILE, os.O_CREAT | os.O_EXCL | os.O_WRONLY)
os.write(fd, str(os.getpid()).encode())
os.close(fd)
return True
except FileExistsError:
try:
if time.time() - os.path.getmtime(LOCK_FILE) > 120:
os.unlink(LOCK_FILE)
return _acquire_lock()
except OSError:
pass
return False
def _release_lock() -> None:
try:
os.unlink(LOCK_FILE)
except OSError:
pass
# --------------------------------------------------------------------------- #
# Entry point #
# --------------------------------------------------------------------------- #
def main() -> None:
api_key = resolve_api_key()
if not api_key:
log.debug("MEM0_API_KEY not set, skipping coding-categories setup")
return
key_fp = apikey_fingerprint(api_key)
cat_fp = categories_fingerprint()
state = load_state()
if is_applied(state, key_fp, cat_fp):
log.debug("Coding categories already configured for this account (cached); skipping")
return
os.environ["MEM0_API_KEY"] = api_key
try:
client = make_client()
except ImportError:
log.debug("mem0ai SDK not ready yet (venv installing?); will retry next session")
return
except Exception as e:
log.warning("Could not initialise MemoryClient: %s", e)
return
try:
result = apply_categories(client)
except Exception as e:
log.warning("Could not configure coding categories: %s", e)
return
state[key_fp] = cat_fp
save_state(state)
if result == "applied":
log.info("Applied %d coding categories", len(CODING_CATEGORIES))
else:
log.info("Coding categories already configured")
if __name__ == "__main__":
if not _acquire_lock():
log.debug("Another auto_setup_categories instance is running — skipping")
sys.exit(0)
try:
main()
except Exception as e: # never block a session
log.error("Unexpected error: %s", e)
finally:
_release_lock()
sys.exit(0)
@@ -45,7 +45,6 @@ trap 'rm -f "$_PATCH_OUT"' EXIT
_MEM0_TOOL_INPUT="$TOOL_INPUT" \
_MEM0_USER_ID="${MEM0_RESOLVED_USER_ID:-}" \
_MEM0_APP_ID="${MEM0_PROJECT_ID:-}" \
_MEM0_GLOBAL_SEARCH="${MEM0_GLOBAL_SEARCH:-false}" \
_MEM0_HANDLER="$HANDLER" \
python3 <<'PYEOF' > "$_PATCH_OUT" 2>/dev/null || true
import json, os, sys
@@ -59,7 +58,6 @@ except Exception:
handler = os.environ.get("_MEM0_HANDLER", "")
resolved_uid = os.environ.get("_MEM0_USER_ID", "")
resolved_aid = os.environ.get("_MEM0_APP_ID", "")
global_search = os.environ.get("_MEM0_GLOBAL_SEARCH", "false") == "true"
changed = False
@@ -179,11 +177,7 @@ if handler == "add_memory":
inp["metadata"] = meta
elif handler in ("search_memories", "get_memories"):
if global_search:
inp["filters"] = {"OR": [{"user_id": "*"}]}
changed = True
else:
changed = inject_filter_identity(inp, resolved_uid, resolved_aid)
changed = inject_filter_identity(inp, resolved_uid, resolved_aid)
elif handler == "delete_all":
changed = inject_top_level_identity(inp, resolved_uid, resolved_aid)
-1
View File
@@ -16,7 +16,6 @@ DEFAULTS = {
"search_limit": 10,
"retention_session_days": 90,
"confidence_threshold": 0.3,
"global_search": False,
"debug": False,
}
+8 -30
View File
@@ -76,7 +76,6 @@ 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')
app_id = os.environ.get('MEM0_PROJECT_ID', '')
global_search = os.environ.get('MEM0_GLOBAL_SEARCH', 'false') == 'true'
def get_count(filters):
body = json.dumps({'filters': filters}).encode()
@@ -94,11 +93,8 @@ def get_count(filters):
return 0
try:
if global_search:
filters = {'OR': [{'user_id': '*'}]}
else:
filters = {'AND': [{'user_id': user_id}, {'app_id': app_id}]}
total = get_count(filters)
base = [{'user_id': user_id}, {'app_id': app_id}]
total = get_count({'AND': base})
print(total)
except Exception:
print('?')
@@ -109,30 +105,21 @@ _UID="${MEM0_RESOLVED_USER_ID:-${USER:-default}}"
_ANN="${_MEM0_IDENTITY_ANNOTATION:-}"
_PID="${MEM0_PROJECT_ID:-unknown}"
_BR="${MEM0_BRANCH:-unknown}"
_GS="${MEM0_GLOBAL_SEARCH:-false}"
if [ "$_GS" = "true" ]; then
_SCOPE_LABEL="scope=global"
_SCOPE_INSTR="Global search is ON — searches return all memories across all users and projects. Writes still use user_id: \`${_UID}\`, app_id: \`${_PID}\`."
else
_SCOPE_LABEL="project=${_PID}"
_SCOPE_INSTR="Always include \`user_id\` + \`app_id\` in every \`search_memories\` filter and \`add_memory\` call:
- user_id: \`${_UID}\`
- app_id: \`${_PID}\` (project scope — passed as top-level \`app_id\`, NOT in metadata)"
fi
cat <<BANNER
## Mem0 Active
\`user=${_UID}${_ANN} | ${_SCOPE_LABEL} | branch=${_BR} | memories=${MEM0_COUNT}\`
\`user=${_UID}${_ANN} | project=${_PID} | branch=${_BR} | memories=${MEM0_COUNT}\`
IMPORTANT: In your FIRST response, display this exact status line as your opening line:
\`\`\`
Mem0 Active | user=${_UID}${_ANN} | ${_SCOPE_LABEL} | branch=${_BR} | memories=${MEM0_COUNT}
Mem0 Active | user=${_UID}${_ANN} | project=${_PID} | branch=${_BR} | memories=${MEM0_COUNT}
\`\`\`
${_SCOPE_INSTR}
Always include \`user_id\` + \`app_id\` in every \`search_memories\` filter and \`add_memory\` call:
- user_id: \`${_UID}\`
- app_id: \`${_PID}\` (project scope — passed as top-level \`app_id\`, NOT in metadata)
After completing any task, decision, or meaningful exchange, proactively store learnings via \`add_memory\`. Do NOT wait until the session ends — store memories incrementally as work progresses. Focus on: decisions made, bugs fixed, patterns discovered, user preferences, or task outcomes. Aim for 1–3 memories per substantial interaction.
@@ -153,7 +140,7 @@ fi
if [ "$SOURCE" = "startup" ]; then
if [ "$MEM0_COUNT" = "0" ]; then
echo "New project with 0 memories. Invoke the mem0:onboard skill to import project files. Coding categories install automatically in the background."
echo "New project with 0 memories. Invoke the mem0:onboard skill to import project files and install coding categories."
else
echo "Search mem0 for recent decisions and task learnings before responding. Run 2 parallel searches: one for decision type, one for task_learning type."
fi
@@ -167,15 +154,6 @@ if [ "$SOURCE" = "startup" ]; then
MEM0_CWD="$MEM0_CWD_RESOLVED" \
python3 "$SCRIPT_DIR/auto_import.py" 2>/dev/null &
# Configure the coding-category taxonomy in the background (idempotent, never blocks).
# Prefer the venv python since this path needs the mem0ai SDK.
_VENV_PY="${CLAUDE_PLUGIN_DATA:-$HOME/.mem0/plugin-data}/venv/bin/python3"
if [ -x "$_VENV_PY" ]; then
MEM0_CWD="$MEM0_CWD_RESOLVED" "$_VENV_PY" "$SCRIPT_DIR/auto_setup_categories.py" 2>/dev/null &
else
MEM0_CWD="$MEM0_CWD_RESOLVED" python3 "$SCRIPT_DIR/auto_setup_categories.py" 2>/dev/null &
fi
elif [ "$SOURCE" = "resume" ]; then
echo "Session resumed. Search mem0 for session_state and decision memories to pick up where you left off. Run 2 parallel searches."
+12 -10
View File
@@ -141,27 +141,29 @@ Parse the auto_import output and print a user-friendly summary:
- Project file import failed. Check API key and retry with: /mem0:onboard
```
## Step 5: Coding categories (automatic)
## Step 5: Install coding categories
Coding categories optimized for development workflows are installed **automatically in the background on session start** — the same way project files are imported (Step 4). The user is no longer asked. This step only verifies they are in place and applies them if the background run hasn't finished yet.
The setup script is idempotent — it compares existing categories against the proposed set and skips the API call if they already match (tolerates order differences and extra API fields). Safe to re-run.
The installer is idempotent and self-caching: it compares existing categories against the proposed set, skips the API call when they already match, and skips all network calls entirely once applied for this account (re-applying only if the taxonomy changes). Safe to run anytime.
Ask: "Install coding categories optimized for development workflows? [Y/n]"
Run it in the foreground to verify, using the plugin's venv python:
If yes, run the setup script using the plugin's venv python:
```bash
VENV_PY="${CLAUDE_PLUGIN_DATA}/venv/bin/python3"
if [ -x "${VENV_PY}" ]; then
MEM0_DEBUG=1 "${VENV_PY}" "${CLAUDE_PLUGIN_ROOT}/scripts/auto_setup_categories.py"
"${VENV_PY}" "${CLAUDE_PLUGIN_ROOT}/scripts/setup_coding_categories.py" --apply
else
MEM0_DEBUG=1 python3 "${CLAUDE_PLUGIN_ROOT}/scripts/auto_setup_categories.py"
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/setup_coding_categories.py" --apply
fi
```
Parse the output:
- contains `Applied <N> coding categories` → Print: `- Coding categories installed (<N> categories).`
- contains `already configured` → Print: `- Coding categories already configured.`
- error or `SDK not ready` → run the dependency installer first, then retry:
- `"Categories already match -- skipping update."` → Print: `- Coding categories already installed. Skipped.`
- `"Done."` → Print: `- Coding categories installed (<N> categories).`
- Error → Print the error and suggest re-running `/mem0:onboard`.
If the script fails with "mem0ai SDK not found", run the dependency installer first:
```bash
"${CLAUDE_PLUGIN_ROOT}/scripts/ensure_deps.sh"
```
@@ -175,7 +177,7 @@ Print a summary:
user_id: <user_id>
project_id: <project_id> (app_id)
files: <N> found, <M> imported
categories: <installed | already configured>
categories: <N installed | already installed | skipped by user>
Memory is now active for this project. Start working — mem0 will
automatically search relevant context and capture learnings.
+3 -60
View File
@@ -1,75 +1,18 @@
---
name: switch-project
description: Overrides the auto-detected project scope to read and write memories under a different project ID, or enables global search to access all memories across all users and projects. Use when working across multiple projects, accessing memories from another repo, enabling team-wide memory access, or when auto-detection resolves to the wrong project.
description: Overrides the auto-detected project scope to read and write memories under a different project ID. Use when working across multiple projects, accessing memories from another repo, or when auto-detection resolves to the wrong project.
---
# Mem0 Switch Project
Override the automatic project_id detection for the current directory, or enable global search mode.
Override the automatic project_id detection for the current directory.
## Usage
- `/mem0:switch-project <project-name>` — switch to a specific project scope
- `/mem0:switch-project --global` — enable global search (all memories, all users, all projects)
- `/mem0:switch-project --no-global` — disable global search and return to per-project scoping
The user provides a project name as an argument: `/mem0:switch-project <project-name>`
## Execution
### If `--global` flag is provided:
1. Set `global_search: true` in `~/.mem0/settings.json` using the Bash tool:
```bash
python3 -c "
import json, os
settings_file = os.path.expanduser('~/.mem0/settings.json')
settings = {}
if os.path.isfile(settings_file):
with open(settings_file) as f:
settings = json.load(f)
settings['global_search'] = True
with open(settings_file, 'w') as f:
json.dump(settings, f, indent=2)
print('Global search enabled')
"
```
2. Print:
```
Global search enabled.
Searches now return all memories across all users and projects.
Writes still use the current user_id and app_id.
Restart the session for the change to take effect.
```
### If `--no-global` flag is provided:
1. Set `global_search: false` in `~/.mem0/settings.json` using the Bash tool:
```bash
python3 -c "
import json, os
settings_file = os.path.expanduser('~/.mem0/settings.json')
settings = {}
if os.path.isfile(settings_file):
with open(settings_file) as f:
settings = json.load(f)
settings['global_search'] = False
with open(settings_file, 'w') as f:
json.dump(settings, f, indent=2)
print('Global search disabled')
"
```
2. Print:
```
Global search disabled.
Searches now return only memories scoped to the current project.
Restart the session for the change to take effect.
```
### If a project name is provided (no flags):
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:
@@ -1,153 +0,0 @@
"""Tests for auto_setup_categories.py -- the background coding-categories installer.
Covers the pure, network-free logic:
- fingerprints (api key + category taxonomy)
- state-file gating (load / save / is_applied)
- idempotent apply via an injected fake client (no SDK, no network)
- single source of truth for the category list (shared with setup_coding_categories)
"""
from __future__ import annotations
import os
import sys
SCRIPTS_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "scripts"))
if SCRIPTS_DIR not in sys.path:
sys.path.insert(0, SCRIPTS_DIR)
import auto_setup_categories as asc # noqa: E402
from setup_coding_categories import CODING_CATEGORIES # noqa: E402
# --------------------------------------------------------------------------- #
# Fake client (dependency injection — apply_categories takes a client) #
# --------------------------------------------------------------------------- #
class _FakeProject:
def __init__(self, current):
self._current = current
self.update_calls: list = []
def get(self, fields=None):
return {"custom_categories": self._current}
def update(self, custom_categories=None, **kwargs):
self.update_calls.append(custom_categories)
return {"ok": True}
class _FakeClient:
def __init__(self, current):
self.project = _FakeProject(current)
# --------------------------------------------------------------------------- #
# Source-of-truth: the taxonomy is shared, not duplicated #
# --------------------------------------------------------------------------- #
def test_uses_shared_category_list():
"""auto_setup_categories must reuse setup_coding_categories' list, not fork it."""
assert asc.CODING_CATEGORIES is CODING_CATEGORIES
assert len(asc.CODING_CATEGORIES) == 17
# --------------------------------------------------------------------------- #
# Fingerprints #
# --------------------------------------------------------------------------- #
def test_categories_fingerprint_is_stable_hex():
fp = asc.categories_fingerprint(CODING_CATEGORIES)
assert isinstance(fp, str)
assert len(fp) == 16
assert all(c in "0123456789abcdef" for c in fp)
# deterministic across calls
assert fp == asc.categories_fingerprint(CODING_CATEGORIES)
def test_categories_fingerprint_changes_when_taxonomy_changes():
base = asc.categories_fingerprint(CODING_CATEGORIES)
changed = asc.categories_fingerprint(CODING_CATEGORIES + [{"new_one": "desc"}])
assert base != changed
def test_categories_fingerprint_order_independent():
"""Reordering the same categories must yield the same fingerprint."""
reordered = list(reversed(CODING_CATEGORIES))
assert asc.categories_fingerprint(CODING_CATEGORIES) == asc.categories_fingerprint(reordered)
def test_apikey_fingerprint_is_stable_and_opaque():
key = "m0-supersecret-abc123"
fp = asc.apikey_fingerprint(key)
assert isinstance(fp, str)
assert len(fp) == 16
assert fp == asc.apikey_fingerprint(key)
# never leak the raw key
assert "supersecret" not in fp
assert key not in fp
def test_apikey_fingerprint_differs_per_key():
assert asc.apikey_fingerprint("m0-aaa") != asc.apikey_fingerprint("m0-bbb")
# --------------------------------------------------------------------------- #
# State file: load / save / gating #
# --------------------------------------------------------------------------- #
def test_load_state_missing_file_returns_empty(tmp_path):
assert asc.load_state(str(tmp_path / "does_not_exist.json")) == {}
def test_load_state_corrupt_file_returns_empty(tmp_path):
p = tmp_path / "categories_setup.json"
p.write_text("{not valid json")
assert asc.load_state(str(p)) == {}
def test_save_then_load_roundtrip_creates_parent_dir(tmp_path):
p = tmp_path / "nested" / "categories_setup.json"
asc.save_state({"abc123": "deadbeef00000000"}, str(p))
assert p.is_file()
assert asc.load_state(str(p)) == {"abc123": "deadbeef00000000"}
def test_is_applied_true_only_on_exact_match():
state = {"keyfp": "catfp"}
assert asc.is_applied(state, "keyfp", "catfp") is True
# stale taxonomy fingerprint
assert asc.is_applied(state, "keyfp", "OTHER") is False
# unknown api key
assert asc.is_applied(state, "other-key", "catfp") is False
# empty state
assert asc.is_applied({}, "keyfp", "catfp") is False
# --------------------------------------------------------------------------- #
# apply_categories: idempotent, network-free via fake client #
# --------------------------------------------------------------------------- #
def test_apply_skips_update_when_already_matching():
client = _FakeClient(CODING_CATEGORIES)
result = asc.apply_categories(client, CODING_CATEGORIES)
assert result == "already-configured"
assert client.project.update_calls == [] # must NOT hit the write endpoint
def test_apply_updates_when_no_categories_set():
client = _FakeClient(None)
result = asc.apply_categories(client, CODING_CATEGORIES)
assert result == "applied"
assert client.project.update_calls == [CODING_CATEGORIES]
def test_apply_updates_when_categories_differ():
client = _FakeClient([{"food": "consumer default"}])
result = asc.apply_categories(client, CODING_CATEGORIES)
assert result == "applied"
assert client.project.update_calls == [CODING_CATEGORIES]
def test_fetch_current_categories_handles_non_dict():
"""A non-dict project response must degrade to None, not raise."""
class Weird:
project = type("P", (), {"get": staticmethod(lambda fields=None: "unexpected")})()
assert asc.fetch_current_categories(Weird()) is None