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ContextOS
Intelligent context routing for AI coding assistants
AI coding assistants waste thousands of tokens searching large codebases, often missing the files that actually matter. ContextOS indexes your repository into a semantic graph so AI Agents retrieve only the relevant functions, classes, documentation, and dependencies—reducing token usage while improving accuracy. Instead of sending entire files, ContextOS sends only the code the model actually needs.
ContextOS started from a simple frustration: AI coding agents are powerful, but they keep forgetting the context that actually matters.
So I built a context engine for them.
It gives tools like Claude Code and Cursor persistent, structured memory across files, sessions, and repositories—while trying to keep the context window focused instead of dumping the entire codebase into it.
ContextOS is open source, and this is still early. I’d genuinely love feedback from people building with coding agents every day—especially on what breaks, what feels unnecessary, and what you’d want it to remember next.
Thanks for checking it out! 🚀
About ContextOS on Product Hunt
“Intelligent context routing for AI coding assistants”
ContextOS was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #119 on the daily leaderboard. AI coding assistants waste thousands of tokens searching large codebases, often missing the files that actually matter. ContextOS indexes your repository into a semantic graph so AI Agents retrieve only the relevant functions, classes, documentation, and dependencies—reducing token usage while improving accuracy. Instead of sending entire files, ContextOS sends only the code the model actually needs.
On the analytics side, ContextOS competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how ContextOS performed against the three products that launched closest to it on the same day.
Who hunted ContextOS?
ContextOS was hunted by Siddhartha Katiyar. 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.
For a complete overview of ContextOS including community comment highlights and product details, visit the product overview.
Siddhartha Katiyar