memory-journal-mcp
Bridges disconnected AI sessions with persistent project memory, knowledge graphs, and GitHub integration (Issues, PRs, Actions).
MCP server that bridges disconnected AI sessions with persistent project memory and automatic session briefing and handoff. Stores journal entries with semantic, full-text, and tag search, builds knowledge graphs, and integrates GitHub issues, PRs, and Actions. Install globally via npm or run the Alpine-based Docker image.
- Brief new sessions on past project context automatically
- Share session summaries and knowledge graphs across team members
- Track project progress through connected issue and PR history
Bridges disconnected AI sessions with persistent project memory, knowledge graphs, and GitHub integration (Issues, PRs, Actions). 61 tools in one sandboxed MCP server with OAuth 2.1.
Development teams running multi-session Claude Code workflows who need context to persist across sessions and team members.
https://github.com/neverinfamous/memory-journal-mcp
By neverinfamous
How to Get It
npm install -g memory-journal-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me brief new sessions on past project context automatically
Trust Signals Auto-scanned
Data & Access
Community Pulse Growing
Discussed on Reddit
- Public Service Announcement - Near Persistent Claude Memory — Reddit · 48 pts
- Public Service Announcement - Near Persistent Claude Memory — Reddit · 19 pts
- Holographic memory — Reddit
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 13 GitHub stars; 2 contributors; last commit 50d ago; license MIT.
Things to check
- Requires active GitHub integration setup and relies on user-configured prompts for summary quality; no built-in guardrails against stale or conflicting memory entries across large teams.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 13 GitHub stars; 2 contributors; last commit 50d ago; license MIT.