Agentโ™ฅ๏ธŽAge
Catalog

Cogmem

Official

by writerslogic ยท Python

A self-improving, verifiable memory layer for AI coding agents.

A self-improving, verifiable memory layer for AI coding agents. This MCP server provides memory management, provenance, and semantic search for AI agents, emphasizing local-first operation and tamper-evident, verifiable credentials.

๐Ÿ› ๏ธ Key Features

  • MCP-compatible server for Model Context Protocol
  • Self-improving, verifiable memory layer for AI coding agents
  • Local-first memory storage with provenance and tamper-evidence
  • Semantic search and embedding-based retrieval
  • Supports did-based identities and verifiable credentials
  • Focused on productivity tooling and developer workflows

๐Ÿš€ Use Cases

  • Enhance AI coding agents with persistent memory across sessions
  • Provenance-tracked recall of code snippets and decisions
  • Tamper-evident memory logs for auditability
  • Semantic retrieval of relevant context using embeddings
  • Local-first knowledge management for development teams

โšก Developer Benefits

  • MCP-compliant server ready for integration
  • Clear memory-model semantics for debugging and verification
  • Verifiable credentials to attest memory integrity
  • Metadata and topics aligned with AI agent development
  • Lightweight, memory-centric design for fast iteration

โš ๏ธ Limitations

  • Based on provided readme excerpt and topics; specifics may require direct repo inspection
  • Details on API surfaces and configuration not included in excerpt
  • Real-world deployment considerations (scale, security) not described here

Topics

agent-memoryai-agentclaude-codedeveloper-tools-ai-agentdidembeddingslocal-firstmcp-servermemory-managementproductivity-toolprovenancescittself-improvingsemantic-searchtamper-evidentverifiable-credentials
Cogmem - agentage MCP Catalog