One engine powers everything AI agents need — perfect recall, persistent memory, code intelligence, and a trusted platform for enterprise agents.
Every product runs on the same core engine. Start with one, add the rest when you're ready — same API key, same dashboard, same bill.
Your codebase, ready for AI. Agents read the exact lines they need — not the whole file — so they think faster and cost less.
Per-identity access for humans and agents, behavioral anomaly detection, and source code that never lands on a laptop.
Run AI agents on your GitDB repos from a native desktop app — browse, review, and put agents to work from one place.
Long-term memory for your agents. Nothing summarized, nothing dropped — recall what was said, when, and why.
High-fidelity semantic search at any scale. A drop-in replacement for legacy vector databases — without the accuracy trade-offs.
Every agent operation flows through the unified platform. Memory provides context, Vector powers search, GitDB handles code — all under one identity, one audit trail, one deployment.
Most data platforms are AI-flavored databases bolted onto last decade's engines. We rebuilt the stack from the ground up — for memory, vector, and code at agent speed.
Engineered for modern hardware from the ground up. No waiting, no contention — just steady, predictable performance under any load.
We didn't take the off-the-shelf option. Our storage engine is tuned for AI workloads — fast writes, fast reads, no surprise pauses.
Both vector engines live on disk — no mmap, no brute force, no shortcuts. Sub-millisecond search at small scale, billions of vectors at large scale, full-fidelity recall throughout.
Mix semantic search, structured queries, and agentic reasoning in a single call. No glue code between five different services.
GitDB is released — give it a try. Memory and Vector services are coming soon.