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Volcengine avatar

OpenViking

Filesystem-style context store for agent memory, knowledge, and skills

  • Agent frameworks and tools
  • AI models and runtimes
View on GitHub
Website

What it is

OpenViking organizes what an AI agent knows into a virtual file tree addressed by viking:// URIs, keeping documents, extracted memories, and skill definitions side by side. Agents browse it with commands like ls, read, and grep, and each directory carries generated summaries at several levels of detail so agents can check relevance before loading full content. Semantic search can be scoped to a subtree, and committed sessions are turned into editable Markdown memories. Developers building agents use it to give them persistent, inspectable context, with a web studio for browsing and editing.

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Facts

Stars
40,428 GitHub stars.
40,428

Forks
3,247
Commits
2,910
Contributors
303
Language
Python
License
AGPL-3.0
Last commit
Oct 20, 2026
On GitHub since
January 2026
First release
February 2026
Platforms
web, CLI, self-hosted, library
Self-hostable
Yes
Tags
  • semantic-search
  • ai-memory
  • context-engineering
  • knowledge-base
  • rag
  • vector-database

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsOpenViking – A Context DataBase for AI AgentsMar 13, 2026 · 2 points · 1 comment (opens Hacker News in a new tab)