# OpenViking

> Context database for AI agents

Unifies agent memory, knowledge retrieval and skills in one self-evolving store.

- Source: https://github.com/volcengine/OpenViking
- Homepage: https://openviking.ai/
- License: AGPL-3.0
- Language: Python
- Stars: 39138
- Forks: 3073
- Contributors: 309
- Last commit: 2026-10-02
- Latest release: v0.4.23 (2026-10-02)
- Purpose: AI & LLM tooling, RAG & vector DBs
- Runs on: Library / SDK
- For: Personal, Enterprise

## Worth score: 86/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 13/15
- Readiness: 15/15

## Alternatives

- [Crawl4AI](https://diggithub.com/unclecode/crawl4ai.md): Web crawler that turns sites into LLM-ready Markdown
- [MarkItDown](https://diggithub.com/microsoft/markitdown.md): Convert Office files and PDFs to Markdown for LLMs
- [Docling](https://diggithub.com/docling-project/docling.md): Get your documents ready for generative AI
- [LightRAG](https://diggithub.com/HKUDS/LightRAG.md): Simple and fast graph-based RAG
- [LlamaIndex](https://diggithub.com/run-llama/llama_index.md): Data framework for LLM applications and agents
- [gpt-researcher](https://diggithub.com/assafelovic/gpt-researcher.md): Autonomous deep research agent for web and local documents
- [Cognee](https://diggithub.com/topoteretes/cognee.md): Open-source memory platform for agents
- [GraphRAG](https://diggithub.com/microsoft/graphrag.md): Graph-based RAG from Microsoft

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Source page: https://diggithub.com/volcengine/OpenViking
Updated: 2026-10-03