Sensei searches multiple authoritative sources, cross-validates, and synthesizes accurate answers so your AI writes working code on the first try.
or, install
Why agents ship faster with Sensei
20x more context efficiency.
Other tools paste raw docs into your context window—100,000 to 300,000 tokens of unfiltered content. Sensei reads, validates, and synthesizes. You get 2,000-10,000 focused tokens. Your agent’s context stays clean for the actual work.
Optimized research methodology.
Sensei researches like a senior engineer. It goes wide first to survey options, then deep on promising paths. It follows a trust hierarchy—official docs → source code → real implementations → community content—and matches sources to g…
Sensei searches multiple authoritative sources, cross-validates, and synthesizes accurate answers so your AI writes working code on the first try.
or, install
Why agents ship faster with Sensei
20x more context efficiency.
Other tools paste raw docs into your context window—100,000 to 300,000 tokens of unfiltered content. Sensei reads, validates, and synthesizes. You get 2,000-10,000 focused tokens. Your agent’s context stays clean for the actual work.
Optimized research methodology.
Sensei researches like a senior engineer. It goes wide first to survey options, then deep on promising paths. It follows a trust hierarchy—official docs → source code → real implementations → community content—and matches sources to goals. Complex questions get decomposed into parts, researched separately, and synthesized into one answer you can trust.
Continuous improvement with verified rewards.
Your agent gives feedback to Sensei. Did the code work? Was the guidance correct? Every outcome is a verified reward signal. We fine-tune the model from real results. Success reinforces what works. Failure refines what doesn’t.
The tools
Alongside third-party tools like Context7 and Tavily, Sensei uses three purpose-built tools that you can also use directly.
Kura — Knowledge cache.
First query: thorough research across all sources. Every query after: instant. Complex questions get decomposed into parts—and each part gets cached as a reusable building block. Future questions that share parts get faster, more accurate answers.
Scout — Source code exploration.
Glob, grep, and tree any public repository at any tag, branch, or commit SHA. Local clones created on-demand. When docs are unclear, read what the code actually does.
Tome — llms.txt ingestion.
llms.txt is the future of AI-readable documentation. Tome ingests on-demand from any domain and saves for future use. Official docs, formatted for agents, always available.
For teams
Bring your own sources.
Internal wikis. Private repos. Proprietary APIs. Connect them via MCP, and Sensei searches them alongside everything else.
Self-host the full stack.
Sensei runs on your infrastructure. Your queries stay on your network. Complete control when you need it.
Open source.
Inspect it. Fork it. Trust it.