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Merge pull request #9968 from sh6drack/agent/resubmit-cosmos-mcp
Add cosmos-mcp to Knowledge & Memory 🤖🤖🤖
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@@ -2298,6 +2298,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [timowhite88/farnsworth-syntek](https://github.com/timowhite88/farnsworth-syntek) 📇 ☁️ - 7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.
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- [topskychen/tilde](https://github.com/topskychen/tilde) 🐍 🏠 - Your AI agents' home directory — privacy-first MCP server for portable AI identity. Configure once, use everywhere. It supports profile management, skills, resume import, and team sync.
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- [tstockham96/engram](https://github.com/tstockham96/engram) [](https://glama.ai/mcp/servers/@tstockham96/engram) 📇 🏠 🍎 🪟 🐧 - Intelligent agent memory with semantic recall, automatic consolidation, contradiction detection, and bi-temporal knowledge graph. 80% on LOCOMO benchmark using 96% fewer tokens than full-context approaches.
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- [teampolarity/cosmos-mcp](https://github.com/teampolarity/cosmos-mcp) [](https://glama.ai/mcp/servers/@teampolarity/cosmos-mcp) 📇 ☁️ 🏠 🍎 - Personal knowledge graph shared across MCP clients. Account-keyed and portable as a `.polarity` file, with sources for iMessage, browser history, calendar, Claude Desktop transcripts, shell history, Notion, and Obsidian. `npx -y @polarity-lab/cosmos-mcp`
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- [TeamSafeAI/LIFE](https://github.com/TeamSafeAI/LIFE) 🐍 🏠 - Persistent identity architecture for AI agents. 16 MCP servers covering drives, emotional relationships, semantic memory with decay, working threads, learned patterns, journal, genesis (identity discovery), creative collision engine, forecasting, and voice. Zero dependencies beyond Python 3.8. Built across 938 conversations.
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- [TT-Wang/cortex-plugin](https://github.com/TT-Wang/cortex-plugin) [](https://glama.ai/mcp/servers/TT-Wang/cortex-plugin) 🐍 🏠 🍎 🐧 - Persistent, self-evolving memory plugin for Claude Code. Background miner extracts durable lessons (decisions, conventions, bug fixes) from completed sessions via Claude Haiku, stores them as human-readable markdown in an Obsidian vault, and assembles query-tailored context briefings at session start. Local-first, no cloud, no API keys. Self-healing install via uv bootstrap shim, `/cortex-doctor` preflight, graceful FTS-only degraded mode when `claude` CLI missing. MIT.
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- [TyKolt/kremis](https://github.com/TyKolt/kremis) [](https://glama.ai/mcp/servers/TyKolt/kremis) 🦀 🏠 🍎 🪟 🐧 - Deterministic knowledge graph MCP server. Single binary, zero LLM/embedding calls in the bridge, BLAKE3 state hashing, canonical KREX export for byte-identical audit. Local-first via redb (ACID). **Alpha**.
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