volcengine/OpenViking

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

What it does

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.

How it helps ATF

Worth comparing with how Harness keeps memory and how Company Brain holds company material, since it puts documents, memories and skills in one file-like structure. Its layered summaries could be a reference for loading only the context a task needs.

License

AGPL-3.0 Network copyleft. Offering a modified version as a service also requires releasing the source. Review before any product use.

More in this category

• 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.
• NevaMind-AI/memU
  memU is an agent-driven memory system that keeps a personal LLM wiki shared across sessions, agents and devices. It captures session knowledge in scheduled background tasks, retrieves it into later tasks, and distills reusable skills from agent history.
• 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.
• thedotmack/claude-mem
  Claude-mem captures what an agent does during sessions, compresses it into semantic summaries with AI, and injects relevant context into later sessions. It works with Claude Code, Codex, Gemini, OpenCode and other agents.
• 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.

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.