leonardsellem/hypermnesic
by Various
Git-first memory for AI agents: Markdown files are truth, the index is disposable, writes are reviewable commits.
MCP
leonardsellem/hypermnesic
Added 19 June 2026
Overview
Hypermnesic is a Git-based memory system for AI agents. Markdown files serve as the canonical data store, the search index is rebuilt from them, and every write becomes a reviewable Git commit.
Best for
Best for
Developers who need an auditable, Git-versioned memory layer for AI agents
Use cases
- Persist agent state between sessions
- Track and review AI-generated changes via commits
- Maintain an auditable, version-controlled knowledge base
Notes
Hypermnesic is a Git-based memory system for AI agents. Markdown files serve as the canonical data store, the search index is rebuilt from them, and every write becomes a reviewable Git commit.
2 stars on GitHub. Last updated 2026-06-19. Licensed AGPL-3.0.
Use cases
- Persist agent state between sessions
- Track and review AI-generated changes via commits
- Maintain an auditable, version-controlled knowledge base
Pros
- Git-based versioning provides built-in audit trail
- Markdown as truth source keeps data human-readable
- Disposable index enables low-maintenance rebuilds
Cons
- Limited to 2 stars indicates minimal community validation
- Requires Git expertise to set up and troubleshoot
- Index rebuilds may be slow with large Markdown repositories
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Git-based versioning provides built-in audit trail
- Markdown as truth source keeps data human-readable
- Disposable index enables low-maintenance rebuilds
Cons
- Limited to 2 stars indicates minimal community validation
- Requires Git expertise to set up and troubleshoot
- Index rebuilds may be slow with large Markdown repositories
Pairs with
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