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@@ -1939,6 +1939,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [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. - [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. - [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) [![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). - [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).
- [SVerITG/Metis](https://github.com/SVerITG/Metis) [![Metis MCP server](https://glama.ai/mcp/servers/SVerITG/Metis/badges/score.svg)](https://glama.ai/mcp/servers/SVerITG/Metis) 🐍 🏠 🍎 🪟 🐧 - A private, local research "second brain" for Claude: project-aware memory, cited answers from your own library (won't invent what it can't find), linked notes/meetings/ideas via a domain-specific knowledge layer, daily briefs (news + new papers in your field), a live meeting assistant, cross-pollination across your work, and 34 routed agents. A governed layer between you and the AI, with guardrails like data protection. A Research Cortex.
### ⚖️ <a name="legal"></a>Legal ### ⚖️ <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. Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information.