Prerequisites
Before setting up Mem0 with Codex, ensure you have:-
A Mem0 Platform account and API key:
- Sign up at app.mem0.ai
- Get your API key (starts with
m0-)
- OpenAI Codex access
- Your API key added to your shell profile (persists across sessions):
Installation
Option A: Plugin Marketplace (Recommended)
Install the full plugin including MCP server, lifecycle hooks, and SDK skill.-
Add the Mem0 marketplace:
-
Install the plugin:
Or, in the app: restart Codex, open the Plugin Directory, browse the Mem0 Plugins marketplace, and install Mem0.
Step 1 is required for the app UI. Mem0 isn’t in OpenAI’s curated directory yet, so without
codex plugin marketplace add, Mem0 won’t appear in the Codex app’s Plugin Directory: searching for it returns nothing. Adding the marketplace surfaces it (under Created by you) and makes it installable.Do not combine with Option B. The plugin manifest auto-registers the
mem0 MCP server, so adding both will create a duplicate registration.Option B: Direct MCP
The fastest way to connect Codex to Mem0 needs no plugin or marketplace. Add the MCP server with a single command:~/.codex/config.toml:
MEM0_API_KEY is exported in the shell you launch Codex from, then restart Codex.
This gives you the MCP tools but not the lifecycle hooks or SDK skill.
Managing the Plugin
codex plugin marketplace upgrade to pull the latest from the Mem0 repo.
After either option, start a new Codex task and ask: “List my mem0 entities” or “Search my memories for hello”. If the
mem0 tools appear and respond, you’re all set.Codex Cloud
Codex Cloud tasks run setup scripts and the agent in separate phases with different variable scoping:- Environment Variables persist for the full duration of the task, through both the setup script and the agent phase.
- Secrets are only available to the setup script; they are wiped before the agent phase starts, so the agent itself cannot read them.
mem0 MCP server authenticates on every tool call the agent makes (not just during setup), set MEM0_API_KEY as an Environment Variable in your Codex Cloud environment configuration, not as a Secret. A Secret will let a setup script authenticate but the agent will lose access to MEM0_API_KEY once the task phase begins, breaking Mem0 MCP calls.
Lifecycle hooks that shell out to local scripts (Option A) are not applicable in Codex Cloud’s ephemeral containers; use Option B (Direct MCP) with MEM0_API_KEY set as above.
What’s Included
Available MCP Tools
Once installed, the following tools are available in every Codex session:Lifecycle Hooks
Unlike Claude Code, Codex has no plugin-host mechanism for auto-wiring hooks from an installed plugin: it only reads hooks from~/.codex/hooks.json (or <repo>/.codex/hooks.json). Installing the plugin (Option A) does not turn hooks on by itself. To enable them, run the bundled installer once against your local clone:
~/.codex/hooks.json and is idempotent (safe to re-run after upgrading). It also requires the codex_hooks feature flag in ~/.codex/config.toml:
python3 .../install_codex_hooks.py --uninstall.
Once enabled, Mem0 hooks into Codex’s lifecycle to automatically manage memory:
What you type is stored as yours. What Codex produces (session summaries and compaction summaries) is stored as the assistant’s, so its suggestions never become your stated preferences.
Example Workflow
Troubleshooting
- “Connection failed”: Verify
MEM0_API_KEYis set:echo $MEM0_API_KEY - No tools appearing: Restart your Codex session after installation
- Duplicate
mem0MCP / “tool collision” errors: You combined Option A with Option B. Remove the[mcp_servers.mem0]block from~/.codex/config.toml; the plugin registers it automatically - Hooks not firing: Hooks are opt-in and are not installed by the marketplace install itself. Run
scripts/install_codex_hooks.py(see Lifecycle Hooks), confirmcodex_hooks = trueis set under[features]in~/.codex/config.toml, and restart Codex. MCP-only installs (Option B) never include hooks
Mem0 MCP Setup
Detailed MCP configuration for all clients
Claude Code Integration
Add Mem0 memory to Claude Code workflows
Using Mem0? Star us on GitHub to help more developers discover memory for AI apps.