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Add zuneracodes/localkeep to Knowledge & Memory
Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -2474,6 +2474,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [syndicalt/zaxy](https://github.com/syndicalt/zaxy) [](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)
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- [mnemoverse/mcp-memory-server](https://github.com/mnemoverse/mcp-memory-server) [](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server) 📇 ☁️ - Hosted memory that learns and forgets — feedback re-ranks what helps, recall fades by recency, similar memories consolidate. One key across Claude, Cursor, VS Code & ChatGPT.
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- [zcag/tela](https://github.com/zcag/tela) [](https://glama.ai/mcp/servers/zcag/tela) 🏎️ 🏠 ☁️ - Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira. Go + Postgres. `npx tela-mcp`
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- [zuneracodes/localkeep](https://github.com/zuneracodes/localkeep) [](https://glama.ai/mcp/servers/zuneracodes/localkeep) 🐍 🏠 🍎 🪟 🐧 - Local-first chronological memory Hub + MCP: you write dated memory banks in a local UI; Claude recalls them on demand via SQLite FTS5. Human-authored, editable banks—not auto-logged chat. `pip install localkeep` then `localkeep-hub` / `localkeep-mcp`
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- [VonderVuflya/Yggdrasil](https://github.com/VonderVuflya/Yggdrasil) [](https://glama.ai/mcp/servers/VonderVuflya/Yggdrasil) 🐍 🏠 🍎 🪟 🐧 - Durable, local-first memory for AI coding agents over MCP. Zero-dependency (pure Python + SQLite/FTS5), curated and semantically de-duped — you own the data as plain rows. Works with Claude Code, Codex & any MCP host. `uvx --from yggdrasil-memory ygg mcp`
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- [Yarmoluk/ckg-mcp](https://github.com/Yarmoluk/ckg-mcp) [](https://glama.ai/mcp/servers/Yarmoluk/ckg-mcp) 🐍 🏠 - Compressed Knowledge Graphs (pre-structured dependency DAGs) as MCP context — agents traverse declared edges instead of inferring from text. Open CKG Benchmark (64 domains, 10,838 queries): 3.8× RAG's F1 at 11× fewer tokens, ~42× RDS, 0 fabricated edges by construction. 97 domains, 4 tools, no DB/embeddings. `pip install ckg-mcp`
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- [teflon07/memkeeper](https://github.com/teflon07/memkeeper) [](https://glama.ai/mcp/servers/teflon07/memkeeper) 🦀 🏠 🍎 🐧 - Local-first memory for AI agents: a single self-contained Rust binary over one SQLite file. Hybrid BM25/FTS + on-device ONNX embeddings + cross-encoder rerank; abstains instead of returning a confident wrong memory. No server, no API key, zero marginal cost. `memkeeper mcp`
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