Meet the retrieval layer your agents can trust.
Point JOZENU at almost any source — code, docs, PDFs, datasets, the web — and give every agent one API to retrieve, traverse, reason over, and cite it.
Index anything. Retrieve anything.
JOZENU does it all.
Source code, documentation, PDFs, datasets, the open web — point the system at it once and every agent shares the same fast, dependable way to find ground truth and quote it back, line by line.
Universal search across everything you index
One query reaches every connected source at once and returns sub-five-second answers across millions of indexed pages and code files. Small models compress what comes back, so agents spend their context window on reasoning — not on wading through raw search dumps.
Reach into your dependencies, not just your repo
JOZENU reads the manifest files you already commit and automatically indexes the project dependencies behind them — so an agent debugging a stack trace can search the library source itself, not a half-remembered version of it. Public datasets index the same way, behind the same single interface.
A single API for every agent
Retrieve, traverse, reason over, and cite — all through one endpoint. Whatever you indexed, every agent in your stack queries it the same way.
Breadth behind one door
Code, docs, PDFs, datasets, and the web sit side by side. No source-by-source glue code, no separate retrieval stack to maintain for each.
Built for response speed & cost
Sub-five-second answers and compact, compressed results mean lower token spend per call — accuracy and economy in the same request.
Indexes nonstop. Retrieves nonstop.
Cites nonstop.
Retrieval reliability is the hardest part of making an agent trustworthy. JOZENU keeps your knowledge fresh, answers from the real files, and attaches a citation to every claim — so agents reach for ground truth instead of filling the gap with a guess.
A synchronization engine that never sleeps
Continuously index local folders, databases, and chat history into one searchable, personal knowledge base. New commits, new rows, new conversations — folded in as they happen, so an agent's answer reflects the state of the world right now.
A document agent that reads, then proves it
Long PDFs and reports are read section by section, not skimmed and summarized. Every claim it returns carries the page number it came from — so a reviewer can jump straight to the source and confirm it in seconds.
Search a repo you've never indexed — in a sandbox that cleans up after itself
Sandbox search spins up an ephemeral environment, clones a public repository, answers your query from the actual files, and tears the environment back down — no pre-indexing and no embeddings required. The same autonomy powers an on-demand repository-search subagent: hand it a question, and it goes and reads the code for you.
Your sources, your rules. Total control.
Decide exactly what JOZENU can reach, and exactly how your agents connect to it. The breadth lives behind one interface — you keep the switches.
Toggle what gets indexed
Connect every agent, your way
Meet your agents where they already live
Reach JOZENU through an API, a command-line interface, a packaged skill, or the model-context protocol — and plug straight into the popular AI coding assistants your team already uses. Same index, same citations, whichever surface an agent speaks.
Hand off work without losing the thread
Context sharing saves conversation histories, plans, and the exact sources an agent relied on — so work can pause in one agent and resume in another with the full trail intact. No re-explaining, no lost ground truth.
Less hallucination. More ground truth.
Research mode turns an indexed codebase into a dynamic tree the agent can query on demand — expanding only the branches a question actually needs. Instead of guessing past the edge of its context, the agent walks to the answer and brings back the proof. That's how JOZENU reduces hallucinations at the source.
What we believe
Built for the agents you're already building.
JOZENU is made for developers and engineering teams shipping AI agents and workflows. Wherever an agent needs to be right rather than merely plausible, it reaches for the index — and comes back with a citation.
Code-review agents that stay current
Fetch the latest documentation as it reviews, so it flags deprecated calls and stale patterns against today's API — not last quarter's.
Legal-research agents over the statute
Index statutes and long documents, then answer with the exact section and page — the kind of provenance legal work depends on.
Community-forum & dataset search
Turn sprawling forums and public datasets into a queryable surface, so agents mine real answers from real threads and real data.
However your agents connect, the ground truth is the same.
API
Programmatic retrieve, traverse & cite
CLI
Index & search from the terminal
MCP
Model-context protocol, native
Skill
A packaged skill, drop-in
Coding assistants
Integrates with the popular ones
Finally, retrieval your agents can build on.
Tell us about the agents you're shipping and the sources they need to reach. We'll help you wire JOZENU into your stack — through the API, CLI, MCP, a packaged skill, or your coding assistant of choice.
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We've opened your email client with everything filled in — just hit send and it'll reach us at hello@jozenu.com. We read every note and reply personally.