MemPalace/mempalace
- Source
- GitHub
- First trending
- Category
- Memory
- GitHub stars
- 59,107
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.

What it does
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.
How it helps ATF
Worth comparing for Company Brain and the memory kept by Harness. Keeping original text instead of summaries, and narrowing search by person, project and topic, could be a reference for retrieving the right records.
License
MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.
More in this category
- rohitg00/agentmemory
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. - 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. - 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. - volcengine/OpenViking
OpenViking is a context database for AI agents that stores documents, user memories and skills as a virtual filesystem agents browse with commands such as ls, read and write. Layered summaries let agents load full content only when needed. - 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.
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.