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    Persistent semantic memory for your SQL databases. The name is ironic — it remembers everything.
    12
    44 PyPI
    4
    MIT
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    Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.
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    MIT
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    CNCF release intelligence: typed, quoted facts (security fixes, breaking changes, deprecations) from every graduated/incubating project's release notes, updated daily. check_stack compares running versions locally — versions never leave your process.
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    Apache 2.0
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    Enables AI assistants to manage memories via the mem9 memory service, supporting memory storage, semantic search, retrieval, update, and deletion across multiple platforms.
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    Provides seamless access to the ConceptNet semantic knowledge graph, enabling concept lookup, search, relationship discovery, and semantic similarity calculations across multiple languages.
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    GPL 3.0
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    Semantic codebase search + persistent working memory for AI code editors. Local, zero-config, MCP. No API key.
    23
    86 PyPI
    2
    MIT
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    Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
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    BSD 2-Clause "Simplified"
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    Persistent, graph-based memory for Roo Code via the Model Context Protocol, enabling structured knowledge management with semantic search and context window control.
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    MIT
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    MCP server for Locus, a local semantic dataspace manager powered by Ollama. It exposes all Locus HTTP endpoints as MCP tools to manage dataspaces, ingest documents, and perform semantic search.
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    Enables Claude Code with persistent semantic memory, cross-session context, and memory hygiene via a local AD4M executor, offering 13 tools for managing semantic graphs and cross-terminal relay.
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