A coding agent CLI designed around small local models first
Reika is a coding agent CLI for local and hosted models, designed around local models first. It doesn't make a small model more intelligent but it provides a better experience using them day to day. Even if you're not part of the absolute range that Reika is designed for, using larger local models or hosted ones will still provide a solid experience out of the box.
Reika was a project I never intended to make public because it was part of my own personal local AI stack. But as I worked on it to make it usable as a daily driver, I thought it would be nice to make it public for others to see and use.
I initially built it to see how much I could get the harness to make small models, especially at low quantization and context to not feel terrible to use. So while Reika doesn't solve the intelligence side, it tries to solve the overall experience when using small models at the absolute scale.
A lot of the testing and pain came through working on my M2 MacBook Air 16GB trying to run models like Qwen3.6 35B A3B and Qwen3.8 27B all day in agentic coding, maxing out the RAM and limits of my own machine. So the base of Reika comes from a legitimate source of truth.
Anyways, hope you all enjoy it :)
About Reika on Product Hunt
“A coding agent CLI designed around small local models first”
Reika launched on Product Hunt on October 7th, 2026 and earned 73 upvotes and 4 comments, placing #31 on the daily leaderboard. Reika is a coding agent CLI for local and hosted models, designed around local models first. It doesn't make a small model more intelligent but it provides a better experience using them day to day. Even if you're not part of the absolute range that Reika is designed for, using larger local models or hosted ones will still provide a solid experience out of the box.
On the analytics side, Reika 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 Reika performed against the three products that launched closest to it on the same day.
Who hunted Reika?
Reika was hunted by Alex. 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 Reika including community comment highlights and product details, visit the product overview.
Alex
Reika was a project I never intended to make public because it was part of my own personal local AI stack. But as I worked on it to make it usable as a daily driver, I thought it would be nice to make it public for others to see and use.
I initially built it to see how much I could get the harness to make small models, especially at low quantization and context to not feel terrible to use. So while Reika doesn't solve the intelligence side, it tries to solve the overall experience when using small models at the absolute scale.
A lot of the testing and pain came through working on my M2 MacBook Air 16GB trying to run models like Qwen3.6 35B A3B and Qwen3.8 27B all day in agentic coding, maxing out the RAM and limits of my own machine. So the base of Reika comes from a legitimate source of truth.
Anyways, hope you all enjoy it :)