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Alternatives to feedback-memory

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted long-term memory for AI agents on your own Postgres. Facts are dated, versioned and superseded rather than silently overwritten, every recall ships with an inspectable trace, and agents can correct wrong memories from inside the conversation.
      2
      Apache 2.0
    • A
      license
      A
      quality
      D
      maintenance
      Local-first project memory for AI coding agents. Records failed attempts, fragile files, and decisions per repo, and warns the agent via hooks before it repeats a recorded mistake.
      6
      19 npm
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to read and write persistent local memory during sessions, storing and semantically searching project decisions, preferences, error patterns, guidelines, and cross-project standards from SQLite stores on the user's machine. An optional companion server also exposes an autonomous task queue for executing queued work.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Provides a local, adaptive memory layer that lets AI agents persist and retrieve decisions, constraints, and lessons across sessions without requiring an LLM API key.
      5
      18
      AGPL 3.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI coding agents persistent memory by storing observations, decisions, and learnings in a local SQLite database with vector search, full-text search, and a rules engine.
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Self-hosted governed project memory for coding agents, recording decisions, checkpoints, evidence, review state, and agent activity in PostgreSQL with pgvector while keeping maintainer control over what becomes reusable memory or instruction-grade guidance.
      Apache 2.0

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