ContextOS is a semantic search layer for your codebase. Give every developer and AI agent instant recall of what was built, why it was built, and by whom — three API calls away.
Ingests context from the tools your team already uses
Organizations make thousands of decisions, build intricate systems, and develop hard-won expertise — then watch it vanish into closed Slack threads, departed employees, and forgotten docs.
Critical context lives in people's heads. When they leave, it leaves with them — and takes months of productivity with it.
Why was this decision made? Why was this code written this way? The answer exists somewhere — but nobody can find it.
AI agents hallucinate because they lack your organization's actual context and history. They're smart but uninformed.
New hires spend weeks reconstructing context that should be instantly available. Every hire starts from zero.
In the age of autonomous AI, a model that doesn't know your org's decisions, constraints, and history doesn't just make one wrong call — it cascades that error across every downstream agent and system, at machine speed.
ContextOS sits underneath your existing tools and unifies them into a single, queryable context layer.
Push code commits, Slack messages, documents, and decisions via API, webhooks, or direct integration. Every byte of organizational knowledge becomes a context chunk.
Every chunk is embedded into a 384-dimensional vector space. No keyword matching — pure semantic understanding. Ask in plain English, get back exactly the right context.
Query context with a single API call. Get back ranked, relevant chunks from across your entire organizational history — scored by semantic relevance and freshness.
Context flows to developers via IDE integrations, to AI agents via the /before endpoint, and to leadership via the console. The right knowledge reaches the right recipient.
New developers become productive in hours, not weeks. Every code decision, architecture choice, and bug fix is searchable context — available on demand.
Ground your agents in organizational reality. They query ContextOS before every task — acting on what your org actually knows.
When key people leave, their knowledge stays. ContextOS captures expertise as it's created, building memory that outlasts any individual.
Every chunk is timestamped, attributed, and tenant-isolated. Full audit trail of what your organization knew and when.
Semantic search on a sample knowledge base — no account, no API key needed.
/context/ingest
Push any text, code, or document. Returns a chunk ID instantly.
/context/search
Semantic search in plain English. Ranked results with relevance scores.
/context/retrieve
Returns a context window ready to inject directly into any LLM prompt.
For individuals and small teams exploring organizational context.
For growing teams that need deep organizational memory.
For organizations that need full control, compliance, and private deployment.
Yes, completely. Every context chunk, embedding, and query is scoped to your tenant ID at the database level. No cross-tenant data leakage is architecturally possible — your vectors are never mixed with another organization's data.
No. ContextOS runs its own self-contained embedding model (BAAI/bge-small-en-v1.5) baked into the backend. There are no third-party AI dependencies or keys required to ingest and search context.
Generate a one-time invite link from the tenant console and send it to your developer. They click the link, enter a label for their key, and receive their API key instantly — no admin involvement needed after that.
A context chunk is any single ingest — a commit message, a Slack thread, a document paragraph, an architecture decision. Each chunk gets embedded as a vector and becomes searchable. Chunks can be up to ~8,000 characters.
Yes. The /context/before endpoint is designed specifically for AI agents — call it before any task and get back ranked ingests, past agent runs, and persistent agent memory all in one response. Any agent framework that can make HTTP calls works.
Yes — that's the Enterprise plan. We deploy ContextOS into your own AWS account or VPC, giving you full data residency control, no external calls, and your own infrastructure. Contact us to discuss requirements.
Free tier is instant — no credit card, no waiting list. Connect your first repo in under 5 minutes.
Includes 1 repo · 500 API calls/day · MCP server for Claude Code & Cursor