Octomind – open-source AI harness that saves your tokens, static rust

tamimio

I will try it, but please, make the installation through package managers (linux), these curl scripts aren’t secure.

jszymborski

I'd like to see this benched against oh-my-pi because I've really been digging how it does compaction / snapshotting.

unsloppable

Can someone save me a click? Does this improve quality or worsen it? Tokens are cheap. Quality is what matters.

the_duke

The README is AI slop ... is there anything actually special about this? The feature list doesn't seem to show why it is significant compared to all the other harnesses.

Murfalo

Holy tagline. "The CLI-first AI coding agent runtime. Pipe it, schedule it, embed it. One binary, any model, MCP-native — built for autonomous work, not just chat." I feel like I'm taking crazy pills...

buster

Why would i choose that over maki.sh? A comparison to maki would be great!

sharathr

have you taken a look at Codeoid: https://github.com/highflame-ai/codeoid , we use it regularly across everyone in our team and its really great. Especially the ability to switch an ongoing conversation from Claude Code to Codex or Gemini (if you run out of tokens).

closetheloopdev

I'm not sure if I missed something, but the benchmarks [0] look outdated since they use Claude Opus 5 (instead of Opus 5.5), GPT 5.6 Sol (instead of 6.1 Sol), and GLM 5.2 (instead of DeepSeek V4.1 Flash 1017, which is the most popular model on OpenRouter currently [1]). I also cannot find any information regarding thinking efforts for each. Since these benchmarks were done in July, they were probably using older versions of Claude Code, Codex, and OpenCode as well. Would appreciate if the benchmarks are updated, and the thinking efforts and the versions of Claude Code, Codex, and OpenCode are specified. [0] https://github.com/Muvon/octomind#benchmarks [1] https://openrouter.ai/rankings