mem0-plugin/README.md
Add persistent memory to your AI workflows. Store, retrieve, and manage memories across sessions using the Mem0 Platform. Works with Claude Code (CLI), Claude Cowork (desktop app), Cursor, and Codex.
If you're an AI agent setting up Mem0 autonomously (no human dashboard signup available), run:
mem0 init --agent --json
This mints an evaluation API key in <5 seconds — no email, no OTP, no browser. The key is written to your config and exported as MEM0_API_KEY for the current shell. Use it immediately against the Mem0 Platform or the MCP server. The human owner can later run mem0 init --email <their-email> to claim ownership: memories transfer, the same API key keeps working, and the agent isn't disrupted.
Humans setting up Mem0 by hand should continue with Step 1 below.
You must complete this step before installing the plugin.
Sign up at app.mem0.ai if you haven't already
Click Create API Key and copy the key (starts with m0-)
Add it to your shell profile:
# For zsh (default on macOS)
echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc
source ~/.zshrc
# For bash
echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc
source ~/.bashrc
Confirm it's set:
echo $MEM0_API_KEY
# Should print: m0-your-api-key
Choose one of the options below. All require MEM0_API_KEY to be set first (see above).
Claude Code and Claude Cowork share the same plugin system.
CLI:
/plugin marketplace add mem0ai/mem0
/plugin install mem0@mem0-plugins
Cowork desktop app: Open the Cowork tab, click Customize in the sidebar, click Browse plugins, and install Mem0.
This installs the full plugin including the MCP server, lifecycle hooks (automatic memory capture), and the Mem0 SDK skill.
Option A — Direct MCP (fastest, MCP only):
Codex reads MCP servers from ~/.codex/config.toml as TOML. Add:
[mcp_servers.mem0]
url = "https://mcp.mem0.ai/mcp"
bearer_token_env_var = "MEM0_API_KEY"
Export MEM0_API_KEY in your shell and restart Codex. codex mcp add only supports stdio servers, so HTTP servers like Mem0's must be added via config.toml directly (or via the Plugins → Connect to a custom MCP → Streamable HTTP UI in the Codex app).
Option B — Sideload the plugin (full experience: MCP + skills + opt-in hooks):
Clone the repo and register the bundled marketplace with one CLI call:
git clone https://github.com/mem0ai/mem0.git ~/codex-plugins/mem0-source
codex plugin marketplace add ~/codex-plugins/mem0-source
This points Codex at the repo's .agents/plugins/marketplace.json, which references mem0-plugin/ as the local source. Restart Codex, run /plugins, and install Mem0 from the Mem0 Plugins marketplace.
Don't combine with Option A. The plugin manifest auto-registers
mem0as an MCP server viamem0-plugin/.codex-mcp.json— adding a manual[mcp_servers.mem0]block would duplicate the registration.
Optional — enable lifecycle hooks. Codex doesn't auto-wire hooks from plugin manifests; it only reads ~/.codex/hooks.json (or <repo>/.codex/hooks.json) (docs). Run the bundled installer once to merge Mem0's entries:
python3 ~/codex-plugins/mem0-source/mem0-plugin/scripts/install_codex_hooks.py
This merges three entries into ~/.codex/hooks.json with absolute paths pointing into your clone:
| Event | What it does |
|---|---|
SessionStart | Loads prior memories as bootstrap context |
UserPromptSubmit | Injects relevant memories into the prompt |
Stop | Reminds the agent to persist learnings at turn end |
Re-running the installer is idempotent (replaces the Mem0 entries rather than duplicating) and preserves any other hooks you have. To remove: python3 .../install_codex_hooks.py --uninstall. If you move or delete the clone directory, re-run the installer from the new location — the hooks file stores absolute paths.
Codex hooks also require the codex_hooks feature flag in ~/.codex/config.toml:
[features]
codex_hooks = true
The installer prints a reminder if the flag isn't set. Restart Codex after editing the config.
Managing the plugin:
codex plugin marketplace upgrade # pull latest plugin versions
codex plugin marketplace remove mem0-plugins # unregister the marketplace
Already have
mem0configured as an MCP server? Remove the existing entry from your Cursor MCP settings before installing to avoid duplicate tools.
Option A — One-click deeplink (installs MCP server only):
Option B — Manual configuration (MCP server only):
Add the following to your .cursor/mcp.json:
{
"mcpServers": {
"mem0": {
"url": "https://mcp.mem0.ai/mcp/",
"headers": {
"Authorization": "Token ${env:MEM0_API_KEY}"
}
}
}
}
Option C — Cursor Marketplace (full plugin with hooks and skills):
Install from the Cursor Marketplace for the complete experience including lifecycle hooks and the Mem0 SDK skill.
/mem0:onboardAfter installing, start a new session and run:
/mem0:onboard
This runs the setup wizard which:
CLAUDE.md, AGENTS.md, .cursorrules)The onboarding is idempotent — safe to re-run anytime. On first session in a new project (0 memories), Claude is prompted to run it automatically.
After onboarding, confirm everything is connected:
/mem0:health to check connectivity/mem0:stats to see memory counts/mem0:remember "we use TypeScript" then /mem0:tour to see it storedThe plugin includes 17 skills accessible via /mem0: commands:
| Command | Description |
|---|---|
/mem0:remember | Store a memory verbatim — decisions, preferences, conventions |
/mem0:tour | Browse all memories grouped by category |
/mem0:peek | Quick search with compact one-liner results |
/mem0:stats | Session and project memory statistics |
/mem0:dream | Consolidate memories — merge duplicates, resolve contradictions |
/mem0:pin | Protect critical memories from pruning |
/mem0:forget | Delete memories by search or ID |
/mem0:health | Diagnose connectivity, API key, and read/write |
/mem0:export | Export memories to portable Markdown |
/mem0:import | Import memories from export file or MEMORY.md |
/mem0:list-projects | List all projects with stored memories |
/mem0:switch-project | Override auto-detected project scope |
/mem0:memory-reviewer | Audit memory quality — duplicates, contradictions, stale |
/mem0:context-loader | Pre-load relevant memories for current task |
| Component | Claude Code / Cowork | Cursor (Marketplace) | Cursor (Deeplink/Manual) | Codex (Sideload) | Codex (Direct MCP) |
|---|---|---|---|---|---|
| MCP Server | Yes | Yes | Yes | Yes | Yes |
| Lifecycle Hooks | Yes | Yes | No | Opt-in | No |
| Mem0 SDK Skill | Yes | Yes | No | Yes | No |
mcp.mem0.ai), providing tools to add, search, update, and delete memories. No local dependencies required.scripts/install_codex_hooks.py) that writes entries into ~/.codex/hooks.json for SessionStart, UserPromptSubmit, and Stop.When the plugin updates (new version pulled from the marketplace, or a fresh local install), the MCP server connection in your existing Claude Code / Cursor / Codex session is left holding a stale handle and stops responding. Restart your client to reconnect:
/restart in the prompt, or close and reopen the CLI.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).
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:
# Dry-run first -- prints current vs proposed, no changes:
python mem0-plugin/scripts/setup_coding_categories.py
# Actually write:
python mem0-plugin/scripts/setup_coding_categories.py --apply
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.
Once installed, the following tools are available:
| Tool | Description |
|---|---|
add_memory | Save text or conversation history for a user/agent |
search_memories | Semantic search across memories with filters |
get_memories | List memories with filters and pagination |
get_memory | Retrieve a specific memory by ID |
update_memory | Overwrite a memory's text by ID |
delete_memory | Delete a single memory by ID |
delete_all_memories | Bulk delete all memories in scope |
delete_entities | Delete a user/agent/app/run entity and its memories |
list_entities | List users/agents/apps/runs stored in Mem0 |
Apache-2.0