mi is an autonomous coding agent that fits in a single JavaScript file. no framework, no dependencies beyond Node builtins, works with any OpenAI-compatible API — OpenAI, Ollama, local models, whatever you have. the core is a loop: call the llm, check if it wants to use tools, execute them, feed results back, repeat. two built-in tools — bash (full system access) and skills (markdown playbooks loaded on demand) — are enough for it to read repos, write code, run tests, and debug failures.
how small can an agentic harness be and remain useful? turns out, very small. Claude Code is ~500k lines of code, OpenCode is ~100k, mi is 30 lines, yet, it has all the features expected from agentic harness at this stage and then some.
mi is a loop, two tools, and an LLM that you plug in.
mi is optimised for running with local LLMs, it's concise and to the point. it can extend itself to solve task with fewer tokens. this launch on Product Hunt is paired with launch of --sandbox mode, mi will run itself in a container, away from your host and harming you with downstream issues.
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About Mi on Product Hunt
“30-line zero-config CLI agent for bug fixes + refactoring”
Mi launched on Product Hunt on May 13th, 2026 and earned 75 upvotes and 1 comments, placing #33 on the daily leaderboard. mi is an autonomous coding agent that fits in a single JavaScript file. no framework, no dependencies beyond Node builtins, works with any OpenAI-compatible API — OpenAI, Ollama, local models, whatever you have. the core is a loop: call the llm, check if it wants to use tools, execute them, feed results back, repeat. two built-in tools — bash (full system access) and skills (markdown playbooks loaded on demand) — are enough for it to read repos, write code, run tests, and debug failures.
Mi was featured in Open Source (68.4k followers), Artificial Intelligence (468.7k followers), GitHub (41.2k followers) and Vibe coding (455 followers) on Product Hunt. Together, these topics include over 127.1k products, making this a competitive space to launch in.
Who hunted Mi?
Mi was hunted by Ivan Charapanau. 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 Mi stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ivan Charapanau
mi was born as a curiosity piece.
how small can an agentic harness be and remain useful? turns out, very small. Claude Code is ~500k lines of code, OpenCode is ~100k, mi is 30 lines, yet, it has all the features expected from agentic harness at this stage and then some.
mi is a loop, two tools, and an LLM that you plug in.
mi is optimised for running with local LLMs, it's concise and to the point. it can extend itself to solve task with fewer tokens. this launch on Product Hunt is paired with launch of --sandbox mode, mi will run itself in a container, away from your host and harming you with downstream issues.
thank you!