dense-mem

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and Neo4j. (by markhuangai)
Review agent-memory ai-memory conflict-detection Docker Embeddings Golang knowledge-graph llm-memory mcp mcp-server model-context-protocol Neo4j Postgresql provenance rag self-hosted vector-search
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markhuang.ai
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Dense-mem Alternatives

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markhuangai
dense-mem

  1. devrag

    1 dense-mem VS devrag

    Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.

  2. SaaSHub

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  3. GroundMemory

    1 dense-mem VS GroundMemory

    Persistent identity and memory across AI tools - mcp-native, local-first, framework-agnostic, production-ready.

  4. Ori-Mnemos

    5 dense-mem VS Ori-Mnemos

    Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

  5. statelessagent

    1 dense-mem VS statelessagent

    Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.

  6. mosaic

    1 dense-mem VS mosaic

    MCP server for agent memory over HexxlaDB—ring retrieval, embeddings + lexical search, seams, facets, YAML persistence policy, localhost HTTP transport. (by hexxla)

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  • I Feel Sorry for AI
    1 project | dev.to | 2 Jun 2026
    This is the practical direction behind AI Memory Beyond RAG and why I keep building around Dense-Mem. Dense-Mem is not magic. It is an attempt to give AI sessions a managed place for evidence, typed claims, accepted facts, provenance, conflicts, and recall across tools.

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7 days ago

markhuangai/dense-mem is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of dense-mem is Go.

Popular Comparisons

  1. dense-mem VS devrag
  2. dense-mem VS GroundMemory
  3. dense-mem VS Ori-Mnemos

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