A context-efficient CLI coding agent built by agents
Keen Code is an open-source, context-aware and efficient CLI coding agent written in Go. Three aspects stand it out from other similar products: - It was built from scratch by coding agents, with the full prompt/design trail preserved and shared in the repo. - It uses turn memory to keep multi-turn sessions lean which saves context significantly. - It maps MCP servers to lazy-loaded Skills instead of stuffing large schemas into context upfront. This again saves context in mult-MCP setting.
Hi Product Hunt! I’m happy to share Keen Code, an open-source CLI coding agent written in Go.
I’ve been building it solo since February as a side project, and I used it as an opportunity to experiment with context efficiency and agent-driven development.
Three things make Keen Code different from other similar products:
1. Built by agents
Keen Code was built from scratch using state-of-the-art coding agents. My role was to act as the human orchestrator: writing prompts and requirements, then reviewing the designs and code produced by agents.
To keep this transparent, the repo includes an ai-interactions folder with prompts and output docs. More: https://mochow13.github.io/keen-...
2. Turn memory
To avoid filling the context window during multi-turn loops, Keen discards raw tool inputs and outputs after each turn. It keeps a distilled “turn memory” instead: a simple deterministic Go struct passed into the next turn.
More here: https://mochow13.github.io/keen-...
3. Skills-driven MCP servers
Instead of loading large MCP server schemas into context upfront, Keen abstracts MCP tools into local markdown Skills. It only retrieves the exact JSON schema when the LLM requests a specific tool at runtime.
Details: https://mochow13.github.io/keen-...
I’ve been using Keen to develop Keen itself, as well as in my other projects. I’m looking forward to questions, feedback, suggestions, and reviews. I’m committed to improving the project over the long term.
Thanks in advance!
About Keen Code on Product Hunt
“A context-efficient CLI coding agent built by agents”
Keen Code launched on Product Hunt on June 4th, 2026 and earned 109 upvotes and 17 comments, placing #9 on the daily leaderboard. Keen Code is an open-source, context-aware and efficient CLI coding agent written in Go. Three aspects stand it out from other similar products: - It was built from scratch by coding agents, with the full prompt/design trail preserved and shared in the repo. - It uses turn memory to keep multi-turn sessions lean which saves context significantly. - It maps MCP servers to lazy-loaded Skills instead of stuffing large schemas into context upfront. This again saves context in mult-MCP setting.
On the analytics side, Keen Code competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Keen Code performed against the three products that launched closest to it on the same day.
Who hunted Keen Code?
Keen Code was hunted by Mottakin Chowdhury. 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 Keen Code including community comment highlights and product details, visit the product overview.
Mottakin Chowdhury