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zzallirog
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@@ -1886,7 +1886,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [Wynelson94/longhand](https://github.com/Wynelson94/longhand) [![Wynelson94/longhand MCP server](https://glama.ai/mcp/servers/Wynelson94/longhand/badges/score.svg)](https://glama.ai/mcp/servers/Wynelson94/longhand) 🐍 🏠 🍎 🪟 🐧 - Persistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (~126ms) across your entire history. Never summarizes, zero API calls, 17 MCP tools including fuzzy `recall`, deterministic `replay_file`, and git-aware `recall_project_status`. Published on PyPI as `longhand` and registered in the MCP Registry.
- [STiFLeR7/memex](https://github.com/STiFLeR7/memex) [![STiFLeR7/memex MCP server](https://glama.ai/mcp/servers/STiFLeR7/memex/badges/score.svg)](https://glama.ai/mcp/servers/STiFLeR7/memex) 🐍 🏠 🍎 🪟 🐧 - Developer context continuity system. Watches your git repos and builds a temporal knowledge graph of modules, symbols, decisions, and open problems via Graphiti + Neo4j, then serves it to any AI coding agent over MCP. Every edge carries a validity window and a confidence score that decays over time. 12 tools across read and write. Install via `npx -y stifler-memex-mcp`. MIT licensed.
- [xChuCx/agent-memory](https://github.com/xChuCx/agent-memory) [![agent-memory MCP server](https://glama.ai/mcp/servers/xChuCx/agent-memory/badges/score.svg)](https://glama.ai/mcp/servers/xChuCx/agent-memory) 🏎️ 🏠 🍎 🪟 🐧 - Git-native project memory for coding agents: Markdown source of truth committed to your repo, reviewable staged updates (`review --diff` → `apply`), secret/PII-safe, branch-aware — no cloud, no vector DB.
- [zzallirog/weighted-compact](https://github.com/zzallirog/weighted-compact) 🐍 🏠 - Inspectable memory substrate for Claude Code. Three read-only MCP tools (search_pairs, compact_session, substrate_info) over a local-first, signal-scored parse of `~/.claude/projects/`. Per-pair scores are numpy columns on disk, not opaque vectors in a service. Zero outbound calls (CI-enforced).
- [zzallirog/weighted-compact](https://github.com/zzallirog/weighted-compact) [![zzallirog/weighted-compact MCP server](https://glama.ai/mcp/servers/zzallirog/weighted-compact/badges/score.svg)](https://glama.ai/mcp/servers/zzallirog/weighted-compact) 🐍 🏠 - Inspectable memory substrate for Claude Code. Three read-only MCP tools (search_pairs, compact_session, substrate_info) over a local-first, signal-scored parse of `~/.claude/projects/`. Per-pair scores are numpy columns on disk, not opaque vectors in a service. Zero outbound calls (CI-enforced).
### ⚖️ <a name="legal"></a>Legal
Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information.