Managing markdown based context comes with challenges like context poisoning, contradictions, non-determinism and context navigation difficulties. Over time, we built out a structured context management layer at our company (DrDroid) - with Open Index, we are sharing it with the ecosystem!
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. ⭐
I'm curious how much the graph structure improves agent performance compared to just throwing the same data into a vector store?
This hits a real agent problem: more context often creates more noise, not better decisions. Turning context into something agents can actually navigate feels much more scalable than endlessly expanding prompts.
About Open Index on Product Hunt
“Build Smarter Agents using Structured Context”
Open Index launched on Product Hunt on August 18th, 2026 and earned 93 upvotes and 3 comments, placing #17 on the daily leaderboard. Managing markdown based context comes with challenges like context poisoning, contradictions, non-determinism and context navigation difficulties. Over time, we built out a structured context management layer at our company (DrDroid) - with Open Index, we are sharing it with the ecosystem!
Open Index was featured in Open Source (68.7k followers), Developer Tools (517.8k followers), Artificial Intelligence (476.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 236.6k products, making this a competitive space to launch in.
Who hunted Open Index?
Open Index was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Open Index stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan