rohitg00/agentmemory

This page introduces an external open-source repository. It is not an HDATF product.

What it does

A persistent memory server for coding agents such as Claude Code, Codex CLI, Cursor and Gemini CLI, and for any MCP client. It extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs and hybrid search.

How it helps ATF

A reference for how Harness keeps memory across AI task runs. Its confidence scoring and lifecycle for stored memories are worth comparing with how Company Brain keeps company records connected to work.

License

Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.

More in this category

• supermemoryai/supermemory
  Supermemory is a memory and context layer for AI that extracts facts from conversations, keeps user profiles, handles updates and contradictions, forgets expired information, and combines memory with document search. It can run fully locally.
• MemPalace/mempalace
  MemPalace stores AI conversation history as verbatim text, without summarizing, and retrieves it with semantic search. Its index organizes people, projects and topics so searches can be scoped, and data stays local unless the user opts in.
• topoteretes/cognee
  Cognee is an open-source memory platform for AI agents. It ingests data in various formats, builds a self-hosted knowledge graph, and lets agents recall past context, decisions and learned rules across sessions.
• garrytan/gbrain
  GBrain gives AI agents a memory that several agents can share. It stores explicit facts with their sources, supports corrections and withdrawal, and starts with keyword retrieval, adding semantic search and background enrichment when needed.
• TencentCloud/TencentDB-Agent-Memory
  TencentDB Agent Memory is a team memory hub for AI agents. It turns conversations, documents and code into Chat Memory, Skills, an LLM-Wiki and a Code-Graph that can be governed and shared across agents and frameworks.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.