We’ve spent a lot of time building AI agents, and somewhere along the way we realized something: Giving an agent more context ≠ giving it better context. So we built Open Index — and today, we’re open-sourcing it. Think of it as a structured context layer for your agents. You define the entities that matter in your domain, connect the relationships between them, and give your agent a graph it can actually navigate. We originally built this while working on DrDroid, but quickly realized the same idea could apply to agents in security, support, legal, insurance, sales, and pretty much any domain with complex context. Instead of keeping it internal, we decided to put it out there and see what other builders do with it. This is v1, and we’d love to build the next versions with the community. Try it, break it, question the approach -- all feedback is welcome. ⭐

Open Index

Build Smarter Agents using Structured Context

Build Smarter Agents using Structured Context