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Add FactMem MCP server
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@@ -2302,6 +2302,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [AgentModule/mcp](https://github.com/AgentModule/mcp) [](https://glama.ai/mcp/servers/AgentModule/mcp) 📇 ☁️ - Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.
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- [AgentModule/mcp](https://github.com/AgentModule/mcp) [](https://glama.ai/mcp/servers/AgentModule/mcp) 📇 ☁️ - Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.
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- [juyterman1000/entroly](https://github.com/juyterman1000/entroly) [](https://glama.ai/mcp/servers/juyterman1000/entroly) 🐍 🦀 🏠 🍎 🪟 🐧 - Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, ~3 ms). MemoryOS adds local budget-aware working/episodic/semantic memory with decay, safety scanning, and durable persistence. 38 agent integrations (Cursor, Claude Code, Codex, Aider, and more). Ships as MCP server (`entroly serve`), HTTP proxy, or Python/Rust library. Apache-2.0, local-first. `pip install entroly`
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- [juyterman1000/entroly](https://github.com/juyterman1000/entroly) [](https://glama.ai/mcp/servers/juyterman1000/entroly) 🐍 🦀 🏠 🍎 🪟 🐧 - Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, ~3 ms). MemoryOS adds local budget-aware working/episodic/semantic memory with decay, safety scanning, and durable persistence. 38 agent integrations (Cursor, Claude Code, Codex, Aider, and more). Ships as MCP server (`entroly serve`), HTTP proxy, or Python/Rust library. Apache-2.0, local-first. `pip install entroly`
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- [Goldentrii/AgentRecall](https://github.com/Goldentrii/AgentRecall) [](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP) 📇 ☁️ 🏠 🍎 🪟 🐧 - Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: `session_start`, `remember`, `recall`, `check`, `session_end`. `npx agent-recall-mcp`
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- [Goldentrii/AgentRecall](https://github.com/Goldentrii/AgentRecall) [](https://glama.ai/mcp/servers/Goldentrii/AgentRecall-MCP) 📇 ☁️ 🏠 🍎 🪟 🐧 - Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: `session_start`, `remember`, `recall`, `check`, `session_end`. `npx agent-recall-mcp`
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- [gordonkjlee/factmem](https://github.com/gordonkjlee/factmem) [](https://glama.ai/mcp/servers/gordonkjlee/factmem) 📇 🏠 🍎 🪟 🐧 - Local memory engine any AI tool can use; you own the SQLite file. `npx -y @factmem/mcp`
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- [AlekseiMarchenko/central-intelligence](https://github.com/AlekseiMarchenko/central-intelligence) [](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence) 📇 ☁️ - Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.
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- [AlekseiMarchenko/central-intelligence](https://github.com/AlekseiMarchenko/central-intelligence) [](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence) 📇 ☁️ - Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.
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- [epicsagas/alcove](https://github.com/epicsagas/alcove)[](https://glama.ai/mcp/servers/epicsagas/alcove) 🦀 🏠 🍎 🪟 🐧 - MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
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- [epicsagas/alcove](https://github.com/epicsagas/alcove)[](https://glama.ai/mcp/servers/epicsagas/alcove) 🦀 🏠 🍎 🪟 🐧 - MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
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- [eidetic-works/nucleus-mcp](https://github.com/eidetic-works/nucleus-mcp) [](https://glama.ai/mcp/servers/eidetic-works/nucleus-mcp) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Sovereign Agent OS — persistent memory, governance, and audit trails for AI agents. One brain for Cursor, Claude Code, Windsurf, and Gemini. Local-first `.brain/` directory with engrams, hypervisor file protection, and optional remote sync. `pip install nucleus-mcp` or Streamable HTTP at `relay.nucleusos.dev`.
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- [eidetic-works/nucleus-mcp](https://github.com/eidetic-works/nucleus-mcp) [](https://glama.ai/mcp/servers/eidetic-works/nucleus-mcp) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Sovereign Agent OS — persistent memory, governance, and audit trails for AI agents. One brain for Cursor, Claude Code, Windsurf, and Gemini. Local-first `.brain/` directory with engrams, hypervisor file protection, and optional remote sync. `pip install nucleus-mcp` or Streamable HTTP at `relay.nucleusos.dev`.
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