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io.github.l33tdawg/sage

Official

by l33tdawg · Go

Persistent, consensus-validated institutional memory for AI agents. Runs locally.

io.github.l33tdawg/sage Model Context Protocol (MCP) Server

This MCP server provides persistent institutional memory for AI agents that persists across conversations. It validates stored memory via BFT consensus, associates confidence scores with memory, and decays naturally over time. It runs locally and is positioned as infrastructure rather than a flat file or a vector database bolted onto a chat application.

🛠️ Key Features

  • Persistent memory across conversations
  • BFT consensus validation
  • Confidence scores for stored memory
  • Natural decay over time
  • Local execution
  • Not a flat file; not a vector DB

🚀 Use Cases

  • Maintaining long-lived agent context (“institutional memory”)
  • Using consensus-validated memory for AI agent decision-making
  • Systems that require distributed-governance style integrity for agent state

⚡ Developer Benefits

  • Confidence-scored memory backed by consensus primitives
  • Shared conceptual foundation with distributed ledgers’ primitives
  • Tooling aligned with “sovereign” governance and distributed-systems design

⚠️ Limitations

  • Scope described as memory infrastructure; no other tools or integrations are specified in the provided data.

Topics

agentic-aiartificial-intelligencebft-consensusbft-networkdistributed-systemsgovernance