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io.github.verbative/verbative-memory

Official

by verbative

On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.

verbative-memory MCP Server

On-device, self-organizing memory for AI coding agents. It recalls the right facts into each prompt and exposes this functionality over the Model Context Protocol (MCP). The system uses a dual-layer approach—distilled facts plus a lossless event ledger—captured and injected automatically. Memory is shared across agents and persists across sessions.

🛠️ Key Features

  • Dual-layer engine: distilled facts and a lossless event ledger
  • Automatically captured and injected into prompts
  • Exposed over MCP
  • Stored as plain, human-readable files in your repo
  • Shared across agents; persistent across sessions

🚀 Use Cases

  • Supplying relevant context to AI coding agents during prompt construction
  • Maintaining agent memory across multiple sessions

⚡ Developer Benefits

  • Plain files in a repository (no memory cloud, no vendor database)
  • Human-readable storage format
  • MCP-based access to the memory layer

⚠️ Limitations

  • The engine is closed-source and ships as a sealed, compiled package with no source code in this repo.

Topics

agent-memoryai-agentsclaude-codecodexknowledge-graphllm-memorymcpmemoryon-deviceverbative