Airweave is an open-source dev tool that lets agents search any app. It connects to apps, databases, or document stores and turns their contents into searchable knowledge bases for agents.
A few months ago we were building agents that interacted with various apps. We were frustrated when they struggled with vague natural language requests like "resolve that Jira ticket about missing auth configs", "refund payments in Stripe for unsatisfied customers", or "what were Q1 returns from the financial sheet in gdrive?" The agents would then inefficiently chain multiple function calls, fail to retrieve data, or hallucinate answers.
We also noticed that despite the rise of MCP creating more desire for agents to interact with external resources, the majority of agent dev tooling focused on function calling and actions instead of search. We were annoyed by the lack of tooling that enabled agents to semantically search workspace or database contents, so we started building Airweave first as an internal solution. Then we decided to open-source it and pursue it full time after we saw the positive reactions from agent builders.
The best part for us about building Airweave is continually seeing the amazing things our users create with it.
Airweave solves a problem I've personally run into countless times when developing agents! Great Product!
Really impressive. My own data and information is so scattered, this looks like a perfect solution. As an old-fashioned millenial though I'm always wary of giving access to my personal accounts or files, what security measures are there in Airweave?
Congrats on the launch! Could also be interesting to explore integrations with domain-specific platforms (or some way for users to easily build connectors to them) like healthcare EHRs.
The struggle to get agents to accurately retrieve information is real. The frustration of agents struggling with vague natural language requests and inefficiently chaining function calls is such a real pain point.
It's so good, even works better than the SOTA providers' direct integrations.
Really cool approach. For teams with a lot of sensitive or regulated data, what’s your advice for balancing searchability with security and access controls? Any best practices you’ve seen work well?
This looks awesome! On the demo it looks like it is faster vs Claude - do you have an estimate on that? Also, what when there are multiple endpoints to look through?
Love the concept. Organizing thoughts and research visually makes such a difference, especially when things start to get messy. Definitely something I can see myself using. Big congrats to the team! 🎉
Airweave sounds like a huge step forward in enabling AI agents to truly understand and interact with data across apps and databases. Can Airweave handle complex queries across multiple apps at once, or is it designed to focus on a single app/database at a time?
I really appreciate the ability to connect to multiple apps and databases all in one place. It seems like a great way to simplify how developers search through their data and keep everything organized.
Congrats! The looks awesome. Curious do you see this as a chance for startups to improve their rankings through LLM-generated responses too?
Congrats on the launch. Can you tell me more about how the underlying data sync works? Does it run on a schedule? What if there are conflicting data? How “real-time” is the data getting indexed?
About Airweave on Product Hunt
“Let Agents Search Any App”
Airweave launched on Product Hunt on May 27th, 2025 and earned 206 upvotes and 39 comments, placing #10 on the daily leaderboard. Airweave is an open-source dev tool that lets agents search any app. It connects to apps, databases, or document stores and turns their contents into searchable knowledge bases for agents.
Airweave was featured in Open Source (68.3k followers), Developer Tools (511.1k followers) and Artificial Intelligence (466.4k followers) on Product Hunt. Together, these topics include over 164.2k products, making this a competitive space to launch in.
Who hunted Airweave?
Airweave 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 Airweave 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
A few months ago we were building agents that interacted with various apps. We were frustrated when they struggled with vague natural language requests like "resolve that Jira ticket about missing auth configs", "refund payments in Stripe for unsatisfied customers", or "what were Q1 returns from the financial sheet in gdrive?" The agents would then inefficiently chain multiple function calls, fail to retrieve data, or hallucinate answers.
We also noticed that despite the rise of MCP creating more desire for agents to interact with external resources, the majority of agent dev tooling focused on function calling and actions instead of search. We were annoyed by the lack of tooling that enabled agents to semantically search workspace or database contents, so we started building Airweave first as an internal solution. Then we decided to open-source it and pursue it full time after we saw the positive reactions from agent builders.
The best part for us about building Airweave is continually seeing the amazing things our users create with it.
Looking forward to the comments 👋
- Lennert & Rauf