caix84476-netizen/personal-understanding
by Various
Evidence-chain memory for AI agents - verbatim-first, auditable, anti-fabrication. Tell your story once, recall it with proof. Local-first skill + MCP server for Claude, Codex and
MCP
caix84476-netizen/personal-understanding
Added 8 Sept 2026
Overview
Evidence-chain memory for AI agents. Stores verbatim records so agents can recall past interactions with proof. Runs as a local-first skill and MCP server for Claude, Codex, and other MCP clients.
Best for
Best for
Developers who need auditable, anti-fabrication memory for AI agents
Use cases
- Give agents persistent memory with verifiable source records
- Recall past conversations verbatim without fabrication
- Audit agent memory trails for accuracy
Notes
Evidence-chain memory for AI agents. Stores verbatim records so agents can recall past interactions with proof. Runs as a local-first skill and MCP server for Claude, Codex, and other MCP clients.
2 stars on GitHub. Last updated 2026-09-06. Licensed MIT.
Use cases
- Give agents persistent memory with verifiable source records
- Recall past conversations verbatim without fabrication
- Audit agent memory trails for accuracy
Pros
- Verbatim-first design makes memory auditable
- Local-first storage keeps data on your machine
- Works with any MCP-compatible client
Cons
- Very low community traction at 2 stars
- Requires MCP server setup and Python environment
- No evidence of production hardening or maintenance
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Verbatim-first design makes memory auditable
- Local-first storage keeps data on your machine
- Works with any MCP-compatible client
Cons
- Very low community traction at 2 stars
- Requires MCP server setup and Python environment
- No evidence of production hardening or maintenance
Pairs with
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