I’m Biruk, founder of ContextOne (contextone.ai). We’ve been working on ContextOne to solve a problem we kept running into with AI agents: they’re smart, but they often lack the right context.
ContextOne is a context layer that gives AI agents real, up-to-date knowledge. It lets agents retrieve context with RAG (Retrieval-Augmented Generation) that’s both fast and deeply accurate.
When we say accurate, we don’t just mean “factually correct only” we mean version-aware. If your query relates to Next.js v15, your agent won’t mix in Next.js v13 docs by mistake. ContextOne knows exactly which version to pull from, so the information it returns is consistent and relevant.
You can connect agents to our Public Registry, which already includes a lot of documentation across popular frameworks and tools. It grows daily and if something’s missing, you can easily add it yourself.
Private indexing is just as important. When you work at a company, most of the valuable knowledge lives in internal documentation that’s not publicly available. AI agents can’t access that on their own. With ContextOne, you can index private docs internal wikis, private GitHub repos, or LLMs.txt files and make them available to agents securely via RAG. Enterprise features like SSO, SAML, and private workspaces make it easy to manage access and collaborate, which is a real game-changer for teams.
Key features:
- Multi-Version Indexing: Query exactly the doc version you need (e.g., Next.js v15 vs v13).
- MCP & API Integration: Works with agents like Cursor, Claude Code, OpenCode, and other agents (check out our full agent support here: https://docs.contextone.ai/quickstart) or integrate directly via API.
- Team & Enterprise Support: SSO, SAML, private workspaces, and advanced team collaboration.
- Public Registry: Instantly power AI agents with a growing, ready-to-use knowledge base across popular frameworks and libraries.
- Private Documentation: Securely index and use your company’s internal knowledge.
Everything described above is live today. There’s a free plan to explore the public registry, plus paid tiers for private indexing and team features.
We’d love to hear your thoughts, feedback, ideas, or ways you’d want to use it. Thanks!
probiruk•3mo ago
I’m Biruk, founder of ContextOne (contextone.ai). We’ve been working on ContextOne to solve a problem we kept running into with AI agents: they’re smart, but they often lack the right context.
ContextOne is a context layer that gives AI agents real, up-to-date knowledge. It lets agents retrieve context with RAG (Retrieval-Augmented Generation) that’s both fast and deeply accurate.
When we say accurate, we don’t just mean “factually correct only” we mean version-aware. If your query relates to Next.js v15, your agent won’t mix in Next.js v13 docs by mistake. ContextOne knows exactly which version to pull from, so the information it returns is consistent and relevant.
You can connect agents to our Public Registry, which already includes a lot of documentation across popular frameworks and tools. It grows daily and if something’s missing, you can easily add it yourself.
Private indexing is just as important. When you work at a company, most of the valuable knowledge lives in internal documentation that’s not publicly available. AI agents can’t access that on their own. With ContextOne, you can index private docs internal wikis, private GitHub repos, or LLMs.txt files and make them available to agents securely via RAG. Enterprise features like SSO, SAML, and private workspaces make it easy to manage access and collaborate, which is a real game-changer for teams.
Key features:
- Multi-Version Indexing: Query exactly the doc version you need (e.g., Next.js v15 vs v13).
- MCP & API Integration: Works with agents like Cursor, Claude Code, OpenCode, and other agents (check out our full agent support here: https://docs.contextone.ai/quickstart) or integrate directly via API.
- Team & Enterprise Support: SSO, SAML, private workspaces, and advanced team collaboration.
- Public Registry: Instantly power AI agents with a growing, ready-to-use knowledge base across popular frameworks and libraries.
- Private Documentation: Securely index and use your company’s internal knowledge.
Everything described above is live today. There’s a free plan to explore the public registry, plus paid tiers for private indexing and team features.
We’d love to hear your thoughts, feedback, ideas, or ways you’d want to use it. Thanks!
contextone.ai