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@@ -2003,6 +2003,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [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).
 - [tribal-memory/tribal](https://github.com/tribal-memory/tribal) [![tribal-memory/tribal MCP server](https://glama.ai/mcp/servers/tribal-memory/tribal/badges/score.svg)](https://glama.ai/mcp/servers/tribal-memory/tribal) 🦀 🏠 - Self-hosted semantic memory server, served over MCP, for an engineering team's tribal knowledge: the tacit decisions and hard-won reasoning behind the code, captured once and kept queryable for the team and the agents they work with. Postgres-backed (pgvector).
 - [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.
+- [syndicalt/zaxy](https://github.com/syndicalt/zaxy) [![syndicalt/zaxy MCP server](https://glama.ai/mcp/servers/syndicalt/zaxy/badges/score.svg)](https://glama.ai/mcp/servers/syndicalt/zaxy) 🐍 🏠 🍎 🪟 🐧 - Event-sourced agent memory on a hash-chained append-only log with an embedded temporal knowledge graph (Kuzu, no sidecar). Cited Memory Checkout context, salience-based forgetting that attenuates instead of deleting, compaction-recovery hooks for Claude Code, token-budgeted checkout, and review-gated consolidation. 47 MCP tools with an 8-tool core profile default. `pip install zaxy-memory` [Docs](https://docs.zaxy.io)
 
 ### ⚖️ <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.