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Memex Plugin

This is the Memex plugin for Memex.Garden, a bookmarking second brain for humans and agents.

You can save, transcribe, summarize and search anything you come across. Websites, notes, web highlights, YouTube, X, TikTok, Instagram, PDFs, Reddit or images. Here is our Privacy Policy and our docs.

How to install

  1. Download the plugin
  2. Extract the zip, or clone this repo and use it directly.
  3. Start Codex from the extracted directory or repo root.
  4. Open Codex's plugin directory.
  5. Select the Memex Plugins marketplace.
  6. Install Memex.
  7. Connect Memex when your client prompts for authentication.
  8. Return to Memex, select Codex in Integrations, complete pairing, then continue to set up a 10-minute handoff poller.
  9. You're done. You can now use Memex from your agent.

Example prompts

  1. Search my Memex library for pages about MCP authentication and summarize the top results.
  2. Save https://docs.memex.garden/general/authentication into Memex, and tag it with #tutorials

Handoff command

The plugin exposes a dedicated slash command for unprocessed handoffs:

/memex:fetch-handoffs

That command discovers the cloud-side handoff-listing action and invokes it through execute_action. It fetches pending handoffs by default, routes only handoffs whose canonical executionAgentId is codex, resolves the saved Codex project for each of those handoffs, and creates one fresh task per handoff. Handoffs assigned to other execution agents are skipped and left undrained. When present, targetAppId is included in the Codex task as downstream app context. A handoff with taskMode: "planning" becomes an explicit planning-only task; taskMode: "implementation" becomes a normal implementation task. The routing command never performs or drains the handoff itself. Each created task owns only its handoff and drains it after the assigned work is complete. After Codex creates the task, the coordinator registers the returned thread ID with Memex. This gives the handoff a deterministic codex://threads/<thread-id> link without marking the handoff processed.

Scheduled handoffs

In Memex, select Codex in Integrations and complete the OAuth pairing. Once Memex shows that Codex is connected, Continue opens the Set up automation step. Set up now opens Codex with a prompt that creates a scheduled job to run /memex:fetch-handoffs every 10 minutes. The durable queue remains the source of truth; the automation routes approved pending Codex handoffs into their matching saved projects without requiring a local Realtime connection.

Authentication

The default hosted Memex MCP endpoint is:

  • https://api.memex.garden/mcp

Authentication is OAuth-first. When the plugin calls Memex for the first time, your client should start the Memex sign-in flow. OAuth clients should register as Memex Codex plugin and, when custom registration metadata is supported, include memex_client_source: "memex_codex_plugin" so Memex can show the connection as this plugin rather than a generic Codex cloud agent. In Codex CLI, use:

codex mcp login memex

After signing in, start a new thread so the refreshed MCP session and plugin skills are available.

Advanced fallback: if OAuth is unavailable in your client, export credentials before launching the agent.

Bearer token mode:

export MEMEX_BEARER_TOKEN="YOUR_OAUTH_ACCESS_TOKEN"

You can also use an API key:

export MEMEX_API_KEY="YOUR_MEMEX_API_KEY"
export MEMEX_USER_ID="YOUR_MEMEX_USER_ID"

Endpoint override:

export MEMEX_MCP_URL="https://api.memex.garden/mcp"

Local backend example:

npm run dev:mcp-proxy
export MEMEX_MCP_URL="http://localhost:8787/mcp"

Auth precedence:

  • OAuth is the default path when supported by the client
  • MEMEX_BEARER_TOKEN is the first fallback when present
  • otherwise the MCP server may use MEMEX_API_KEY
  • MEMEX_USER_ID is optional
  • MEMEX_MCP_URL defaults to https://api.memex.garden/mcp

Auth docs:

If a client asks for the raw MCP server URL, use https://api.memex.garden/mcp for production or http://localhost:8787/mcp for local development.

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Memex plugin bundle for OpenAI Codex

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