Context
with Staffy
Universal context for agents working with code.
Unlock superhuman code intelligence
Equip your agents with a complete understanding of your technical infrastructure.
Staffy smartly feeds your agents with relevant context related to any task or workflow sourced across all your knowledge sources - repositories, public/ private documentation, bug tickets, conversations, and team's code conventions.
Plug in repositories, documentation, tickets, and communications so Staffy can assemble the full context behind your projects. No more manual context engineering.
Our hybrid RAG engine combines knowledge graph traversals and vector search providing the best of both worlds - low latency of vanilla RAG + complex multi-hop querying capabilities of graph RAG.
Staffy retrieves only the relevant snippets for each task, shrinking token usage, preventing hallucinations, and keeping agents focused.
Staffy’s knowledge base always stays up-to-date by syncing the latest data from all your knowledge sources. Your agents always get the latest information.
Serve the same trusted context to any type of agent - code generation, code review, RCA etc via our MCP, API or SDK
Unearths implicit patterns—naming conventions, review rituals, undocumented guardrails—and makes your agent aware of them.
Three Steps to Universal Context
Go from zero to fully contextual agents in minutes - just connect your sources and start streaming context to your agents.
Frequently Asked Questions
Everything you need to know about using Staffy as the universal context layer for agents that work with code.
Ready to Equip Your Agents with Complete Live Context?
Join the waitlist to be the first to connect Staffy and feed every coding agent the context it needs. No more manual context engineering, hallucinations and wasted tokens.