CanopyHQ/phloem
by Various
🏎️ 🏠 🍎 🪟 🐧 - Local-first AI memory with causal graphs and citation verification. Semantic search, confidence decay when code drifts, and zero network connections. Works across
MCP
CanopyHQ/phloem
Added 1 June 2026
Overview
Local-first AI memory tool that uses causal graphs and citation verification. It provides semantic search with confidence decay when code drifts. Operates with zero network connections across macOS, Windows, and Linux.
Best for
Best for
Developers needing local, private AI memory with citation tracking
Use cases
- Building persistent AI memory for local development
- Verifying citations in AI-generated code
- Tracking code changes with confidence decay
Notes
Local-first AI memory tool that uses causal graphs and citation verification. It provides semantic search with confidence decay when code drifts. Operates with zero network connections across macOS, Windows, and Linux.
Use cases
- Building persistent AI memory for local development
- Verifying citations in AI-generated code
- Tracking code changes with confidence decay
Pros
- Zero network connections ensures privacy
- Causal graphs provide structured memory
- Cross-platform support
Cons
- Requires local setup and resources
- Confidence decay may reduce recall over time
- Limited to developer use cases
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Zero network connections ensures privacy
- Causal graphs provide structured memory
- Cross-platform support
Cons
- Requires local setup and resources
- Confidence decay may reduce recall over time
- Limited to developer use cases
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.