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    Enables AI coding assistants to share persistent local memory across sessions and agents, so rules, mandatory specs, verified code snippets, and past mistakes are automatically surfaced before code is generated. It also lets agents log repeated failures as recurrence-counted 'vaccines', preventing the same errors from recurring across Claude, VS Code agents, and local LLMs.
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    MIT
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    Enables personal AI agents to combine Meta Ray-Ban audio/vision sensory grounding with long-term episodic life memory graphs and empathetic emotional resonance. Integrates with MCP-compliant clients via JSON-RPC stdio for ambient, context-aware interactions.
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    Enables personal AI agents to fuse ambient multimodal perception with continuous episodic memory streams, routing routine reflexive actions at low latency while reserving heavier reasoning for ambiguous plans. Memory records apply Ebbinghaus recency decay with contradiction resolution and user-controlled deletion.
    1
    MIT
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    Syncs Obsidian notes into a temporal knowledge graph and exposes 23 MCP tools for AI assistants to read, search, and write to your vault, enabling persistent memory across conversations.
    81
    MIT
  • A
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    Persistent semantic memory server for Obsidian vaults, enabling AI agents to search, read, write, and explore notes with semantic understanding and incremental indexing.
    Apache 2.0
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    An MCP server that lets coding agents build and query a persistent knowledge graph of concepts, architecture, and decisions, enabling them to remember across sessions.
    123 npm
    736
    MIT
  • F
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    Enables personal AI agents to integrate multimodal Meta Ray-Ban audio and vision grounding with long-term episodic life memory graphs and empathetic emotional resonance. Supports proactive, context-aware assistance through sensory inputs, ambient telemetry, and task goals.
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    Omega Stenographer MCP is the passive observation layer of the VERITAS & Sovereign Ecosystem (Omega Universe). Where Omega Brain enforces governance and VERITAS gates evaluate artifact integrity, Stenographer observes: it ingests every conversation turn, extracts decisions and blockers from agent reasoning, builds live running notes, and compresses stale context into searchable briefs before it ca
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    MIT
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    Enables AI agents to combine ambient multimodal perception, continuous episodic memory, and recency-decay context briefing for fast deterministic decisions and safe tool routing. It integrates with MCP clients to reduce unnecessary frontier LLM calls while enforcing token budgets and local-first memory retention.
    7
    MIT
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    Enables persistent storage and semantic search of coding preferences, patterns, and implementations using Mem0, allowing AI agents to remember and retrieve development best practices across sessions.
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