This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
AI coding agents spend time and tokens rediscovering the same codebase context. enola. OSS creates a knowledge graph of the codebase and exposes it through MCP, allowing agents to understand systems in seconds. In our benchmark across three repositories using Claude Haiku, with 102k facts, enola. saved 209k tokens, and completed analysis 14x faster. Built for teams using AI development workflows who want lower costs, faster execution, and consistent results. Open source and self-hostable
Hey Product Hunt 👋
We're seeing a new problem emerge as AI agents become part of software development.
Every time an agent starts a task, it often re-discovers the same information about the codebase. The result is wasted tokens, slower execution, and duplicated work.
We built enola. OSS to give AI agents persistent knowledge about a repository.
Instead of repeatedly analyzing the same files, agents can reuse previously discovered facts and focus on the task at hand.
In our early benchmark across three repositories with Claude Haiku, enola. reused 102k facts, saved 209k tokens, and completed analysis 14x faster.
We're releasing it as open source because we believe the future developer stack will need infrastructure designed specifically for AI agents.
Would love your feedback, ideas, and challenges.
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About Enola. Open Source Launch on Product Hunt
“Make AI coding agents faster and use fewer tokens”
Enola. Open Source Launch was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #20 on the daily leaderboard. AI coding agents spend time and tokens rediscovering the same codebase context. enola. OSS creates a knowledge graph of the codebase and exposes it through MCP, allowing agents to understand systems in seconds. In our benchmark across three repositories using Claude Haiku, with 102k facts, enola. saved 209k tokens, and completed analysis 14x faster. Built for teams using AI development workflows who want lower costs, faster execution, and consistent results. Open source and self-hostable
Enola. Open Source Launch was featured in Developer Tools (515.5k followers), GitHub (41.3k followers) and Tech (627.5k followers) on Product Hunt. Together, these topics include over 264.9k products, making this a competitive space to launch in.
Who hunted Enola. Open Source Launch?
Enola. Open Source Launch was hunted by Gert Lõhmus. 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 Enola. Open Source Launch stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Gert Lõhmus