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20alexl
2026-04-26 16:37:58 -04:00
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@@ -1525,7 +1525,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use - [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
- [Auctalis/nocturnusai](https://github.com/Auctalis/nocturnusai) [![Auctalis/nocturnusai MCP server](https://glama.ai/mcp/servers/Auctalis/nocturnusai/badges/score.svg)](https://glama.ai/mcp/servers/Auctalis/nocturnusai) 🐍 🏠 - Deterministic reasoning engine for AI agent context compression. Extracts structured facts with logical inference, proof chains, and truth maintenance. REST API, Python/TypeScript SDKs, and MCP server integration. - [Auctalis/nocturnusai](https://github.com/Auctalis/nocturnusai) [![Auctalis/nocturnusai MCP server](https://glama.ai/mcp/servers/Auctalis/nocturnusai/badges/score.svg)](https://glama.ai/mcp/servers/Auctalis/nocturnusai) 🐍 🏠 - Deterministic reasoning engine for AI agent context compression. Extracts structured facts with logical inference, proof chains, and truth maintenance. REST API, Python/TypeScript SDKs, and MCP server integration.
- [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content - [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content
- [20alexl/claude-engram](https://github.com/20alexl/claude-engram) 🐍 🏠 - Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama. - [20alexl/claude-engram](https://github.com/20alexl/claude-engram) [![20alexl/claude-engram MCP server](https://glama.ai/mcp/servers/20alexl/claude-engram/badges/score.svg)](https://glama.ai/mcp/servers/20alexl/claude-engram) 🐍 🏠 - Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama.
- [timmx7/acheron-mcp-server](https://github.com/timmx7/acheron-mcp-server) [![acheron-mcp-server MCP server](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server) 📇 🏠 - Cross-surface persistent memory for Claude. Bridges context between Claude Chat, Code, and Cowork via local SQLite with full-text search. Save decisions, preferences, and insights in one surface, retrieve them in any other. - [timmx7/acheron-mcp-server](https://github.com/timmx7/acheron-mcp-server) [![acheron-mcp-server MCP server](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server) 📇 🏠 - Cross-surface persistent memory for Claude. Bridges context between Claude Chat, Code, and Cowork via local SQLite with full-text search. Save decisions, preferences, and insights in one surface, retrieve them in any other.
- [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management. - [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
- [Thezenmonster/agentmem](https://github.com/Thezenmonster/agentmem) [![Thezenmonster/agentmem MCP server](https://glama.ai/mcp/servers/Thezenmonster/agentmem/badges/score.svg)](https://glama.ai/mcp/servers/Thezenmonster/agentmem) 🐍 🏠 🍎 🪟 🐧 - Governed memory for coding agents with trust lifecycle (hypothesis → active → validated → deprecated), conflict detection, staleness tracking, and health scoring. SQLite + FTS5, zero infrastructure. `pip install quilmem[mcp]` - [Thezenmonster/agentmem](https://github.com/Thezenmonster/agentmem) [![Thezenmonster/agentmem MCP server](https://glama.ai/mcp/servers/Thezenmonster/agentmem/badges/score.svg)](https://glama.ai/mcp/servers/Thezenmonster/agentmem) 🐍 🏠 🍎 🪟 🐧 - Governed memory for coding agents with trust lifecycle (hypothesis → active → validated → deprecated), conflict detection, staleness tracking, and health scoring. SQLite + FTS5, zero infrastructure. `pip install quilmem[mcp]`