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Open Agent Memory

Open Agent Memory

by rocke2020

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      Enables persistent cross-session memory, correction-pattern tracking, and self-evolving behavioral frameworks, so past facts and decisions stay searchable by meaning and recurring mistakes fade over time. Runs entirely locally through 15 MCP tools plus hooks, with optional semantic search via Ollama embeddings and no cloud or API key required.
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    • A
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    • A
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      Exposes a local SQLite-backed long-term memory to AI agents as MCP tools, letting them add conversations and documents, record dated facts with provenance, search and assemble context, and edit, inspect, or forget what was stored. It runs with your own embedding and LLM keys, so memories stay readable, exportable, and portable as plain markdown.
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    • A
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      quality
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      A thin stdio MCP bridge to a self-hosted mem0 OSS server for agent memory, enabling persistent memory operations like adding, searching, and managing durable facts with automatic reconciliation and question-rewrite capabilities.
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    • A
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      Gives any MCP-compatible AI client a private, on-device memory mind it can query for the most useful context, save facts, decisions and preferences into, and give feedback on so relevance improves over time. Runs locally with no accounts or cloud, exposing recall, remember and feedback tools to agents such as Claude Code, Codex, Cursor or Goose.
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    • A
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