Raven - The harness of harnesses built for recursive self-improvement
Show HN: Raven – The harness of harnesses, built for RSI
Raven is a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration. As a Host Agent, it orchestrates built-in agents like Raven-Research, Raven-Code, Raven-Design, and Raven-Oncall alongside 13 third-party agents via ACP, CLI, or OpenAI-compatible APIs. Powered by EverOS memory and SkillForge's 114,190 skills, Raven carries context across sessions and supports runtime self-evolution through its Curator, which rewrites memory, planning, capability, and action modules. In showcases, Raven autonomously built a complete Godot FPS game in 4 days, achieved 5.8% val_bpb reduction in nanochat pre-training, and delivered full product launch kits. Pre-alpha, install via curl or Docker.
Describe what you need once. Raven assembles the assistant, keeps improving it while you work, and afterwards a sentence is enough to put it to work again.
- redhale
I don't want to be too negative, but ... all this for a 0.8% improvement in SWE-bench Verified (90.2 for OpenCode vs 91)? And why is this (saturated) benchmark the one coding benchmark chosen to showcase on the homepage?
Without trying it, this seems like its probably just a massive waste of tokens.
- julesrms
It's all very glitzy, but I'm failing to understand how "One prompt in. One result out." is of any importance.
This and other recent AI hype-fests all seem to be obsessed with making agents do more work unattended.
But surely in the real world, anyone who's got a real product to make is going to want to steer what's happening. It's ridiculous to think that anyone with a deadline would write a prompt so perfect that they walk away for 4 days and come back to find the finished product ready to ship.
If you really can write a prompt so complete and perfect that it needs nothing further, then any regular harness could probably also do the job. But if like normal people you need to try something, think about it, iterate, and repeat.. then you also just need a regular harness.
- ssddanbrown
RSI here is for "recursive self-improvement", instead of a harness being built to help users with repetitive strain injury like I first thought when reading the post title
- calebhwin
Dumb but honest question - do repos like this buy stars? How do they have thousands of stars with very little presence across HN/Reddit/X?
- jeffnash
Reminds me a lot of omnigent (which I am a huge fan of) with a persistent memory layer. Unlike omnigent's subagent threads, the DAG it uses to coordinate other harnesses doesn't look to be durable; I am curious as to whether this is by design or is a forthcoming feature, as this essentially makes or breaks my use case of long-running project-sized implementation sessions.
In any event, it's great to see competition in this meta-harness space, which is likely one that none of the frontier labs will touch since it, by definition, would utilize their competitors' products.