memento-vault
Automatically captures and organizes coding session knowledge into a searchable Zettelkasten, so insights from AI sessions are not lost between conversations.
Persistent knowledge capture for coding agents. Auto-triages sessions into searchable Zettelkasten notes with epistemic metadata. Works with Claude Code, Codex, Cursor, Windsurf via hooks or MCP. Local-only, markdown + git.
- Auto-capture insights from coding sessions into searchable Zettelkasten notes
- Retrieve past session knowledge across Claude Code, Codex, Cursor, and Windsurf via hooks or MCP
- Keep a local, git-versioned markdown knowledge base of AI work
Automatically captures and organizes coding session knowledge into a searchable Zettelkasten, so insights from AI sessions are not lost between conversations. Builds a growing institutional knowledge base from day-to-day AI work.
Developers and teams who want to accumulate and retrieve technical knowledge from their AI coding sessions over time.
https://github.com/sandsower/memento-vault
By sandsower
How to Get It
claude plugins install sandsower/memento-vault
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me auto-capture insights from coding sessions into searchable Zettelkasten notes
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Show HN: MementoVault – Self-hosted AI context manager served via MCP — Hacker News · 2 pts
- I auto-generate an Obsidian vault from my AI coding sessions (Zettelkasten notes — Reddit
2 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 11 GitHub stars; 4 contributors; last commit 9d ago; license MIT.
Things to check
- Recently discovered. Looks promising but has limited community feedback so far. We added it early so you can evaluate it before the crowd finds it.
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
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 11 GitHub stars; 4 contributors; last commit 9d ago; license MIT.