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Codex Memory Brain

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Local durable memory MCP server for Codex and OpenCode using SQLite with full-text search.

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About

Local durable memory MCP server for Codex and OpenCode using SQLite with full-text search.

README

Local, repo-aware durable memory for Codex and OpenCode.

Codex Memory Brain exposes a local memory layer through MCP. It stores engineering memory in SQLite with FTS5 search, runs fully on your machine, and makes no cloud calls.

Install

Codex

macOS or Linux:

bash -c "$(curl -fsSL https://raw.githubusercontent.com/ccycv/codex-memory-brain/HEAD/install.sh)"

Then open a new Codex chat or restart Codex.

Verify:

codex mcp get codex-memory-brain

You should see enabled: true.

OpenCode

macOS or Linux:

bash -c "$(curl -fsSL https://raw.githubusercontent.com/ccycv/codex-memory-brain/HEAD/opencode/install.sh)"

Then start a new OpenCode session.

Verify:

opencode mcp list

You should see codex-memory-brain enabled. The OpenCode installer also adds a global instruction file so OpenCode knows to call memory_resume_project, memory_context, and memory_task_checkpoint during long-running work.

OpenCode Goal

Install a /goal-like local goal tracker for OpenCode:

bash -c "$(curl -fsSL https://raw.githubusercontent.com/ccycv/codex-memory-brain/HEAD/opencode-goal/install.sh)"

Then restart OpenCode and use:

/goal Ship the current feature end to end
/goal-status
/goal-complete Done and tested

For a controlled autonomous loop with hard stop conditions:

opencode-goal-run --model opencode-go/qwen3.6-plus --max-steps 8 --goal "Ship the current feature end to end"

What It Adds

For Codex, the plugin registers the codex-memory-brain MCP server and the codex-memory skill.

For OpenCode, the installer registers the same local MCP server under ~/.config/opencode/opencode.jsonc and adds opencode/memory-brain-instructions.md to OpenCode's instructions.

Data is stored locally:

~/.codex-memory/memory.db

Override the storage location:

export CODEX_MEMORY_HOME=/path/to/memory-home

Daily Use

Start a project session with:

Use codex-memory. Resume this project first, then continue the task.

End substantial work with:

Save a task checkpoint with files, tests, blockers, and next steps.

Build memory for a new repo:

Use codex-memory. Run memory_audit_repo for this repo with save=false and show me the proposed memories.

Then:

Save the audit memories.

Tools

  • memory_context(task, cwd, files?, limit?)
  • memory_search(query, cwd?, files?, scope?, type?, limit?)
  • memory_remember(content, cwd?, scope, type, files?, tags?, confidence?)
  • memory_update(id, content?, files?, tags?, confidence?, archived?)
  • memory_forget(id)
  • memory_status(cwd?)
  • memory_audit_repo(cwd, save?, limit?)
  • memory_task_checkpoint(cwd, summary?, files?, changes?, decisions?, blockers?, next_steps?, tests_run?, tests_not_run?, branch?, commit?, tags?, confidence?)
  • memory_resume_project(cwd, task?, files?, limit?, checkpoint_limit?)
  • memory_timeline(cwd, days?, limit?, type?)

Resources

  • memory://user/profile
  • memory://repo/current/brief
  • memory://repo/current/commands
  • memory://repo/current/decisions
  • memory://repo/current/gotchas
  • memory://repo/current/resume
  • memory://repo/current/timeline

Prompts

  • memory-check
  • memory-status
  • memory-save
  • memory-audit
  • memory-checkpoint
  • memory-resume
  • memory-timeline

If the Codex UI surfaces MCP prompts or resources from the plus menu, these entries give Memory Brain visible options there. The skill also prints a short Memory Brain: status line when it checks, searches, saves, updates, archives, resumes, or checkpoints memory.

Project Continuity

For multi-day work, this is the most important workflow:

  1. Start with memory_resume_project.
  2. Work normally.
  3. End with memory_task_checkpoint.
  4. Use memory_timeline when you need to ask what happened recently or yesterday.

Checkpoints capture:

  • changed files
  • decisions made
  • blockers
  • next steps
  • tests run
  • tests not run
  • branch and commit when available

Install From A Local Checkout

git clone https://github.com/ccycv/codex-memory-brain.git
cd codex-memory-brain
bash install.sh

Dry run:

bash install.sh --dry-run

Install OpenCode support from a local checkout:

bash opencode/install.sh

Custom install source:

CODEX_MEMORY_REPO_URL=https://github.com/YOUR_ORG/codex-memory-brain.git bash -c "$(curl -fsSL https://raw.githubusercontent.com/YOUR_ORG/codex-memory-brain/HEAD/install.sh)"

Development

Run tests:

python3 -m unittest discover -s tests

Validate the plugin manifest if you have the Codex plugin creator skill available:

uv run --with pyyaml python ~/.codex/skills/.system/plugin-creator/scripts/validate_plugin.py .

Run the Codex CLI memory benchmark:

python3 benchmarks/codex_memory_benchmark.py --repo /path/to/repo --runs 1 --max-tasks 8

The built-in benchmark tasks are Askio-oriented. The runner writes results.json, per-run event logs, final answers, and benchmark_report.md under benchmarks/results/<timestamp>/.

Safety

The server rejects likely secrets, .env dumps, private keys, oversized content, and common prompt-injection phrases before saving memory.

memory_forget archives memories instead of hard-deleting them.

License

MIT

from github.com/ccycv/codex-memory-brain

Installing Codex Memory Brain

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/ccycv/codex-memory-brain

FAQ

Is Codex Memory Brain MCP free?

Yes, Codex Memory Brain MCP is free — one-click install via Unyly at no cost.

Does Codex Memory Brain need an API key?

No, Codex Memory Brain runs without API keys or environment variables.

Is Codex Memory Brain hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Codex Memory Brain in Claude Desktop, Claude Code or Cursor?

Open Codex Memory Brain on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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