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).
CGA gives AI coding agents focused repository evidence instead of broad prompt dumps. It indexes files, symbols, calls, imports, dependencies, and lightweight data flow into a local graph, then exposes MCP-compatible tools for retrieval before generation. The admin UI, 3D graph viewer, CGA-Relay, schedules, backup, and benchmark workflow help teams test local-first context quality.
Hi Product Hunt, I built CGA because AI coding agents often fail before generation: they do not get the right code evidence.
CGA indexes a repo into a local graph of files, symbols, calls, imports, dependencies, and lightweight data flow, then exposes MCP-compatible tools so agents can retrieve focused context before editing.
The first benchmark covers 102 real-code cases: 90.44% average prompt-token reduction and 13.34% average HPS reduction, with the nuance documented publicly.
I would love feedback on MCP retrieval, the graph viewer, install flow, and benchmark design.
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About Context Graph Agent on Product Hunt
“Local code graphs for AI coding agents”
Context Graph Agent was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #159 on the daily leaderboard. CGA gives AI coding agents focused repository evidence instead of broad prompt dumps. It indexes files, symbols, calls, imports, dependencies, and lightweight data flow into a local graph, then exposes MCP-compatible tools for retrieval before generation. The admin UI, 3D graph viewer, CGA-Relay, schedules, backup, and benchmark workflow help teams test local-first context quality.
Context Graph Agent was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.6k products, making this a competitive space to launch in.
Who hunted Context Graph Agent?
Context Graph Agent was hunted by Nate. 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 Context Graph Agent stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nate