Hyvemind OSS - Looking for some testers

Posted by Hodler-mane@reddit | LocalLLaMA | View on Reddit | 9 comments

Hey Llamas, I have been building this product for the last couple of months, initially for my own usage, then decided to rebuild it for a public open source release. I'm not ready for an official release yet, as my quality expectations are very high for a public release. But I do need more testers and feedback to get it more polished.

If you are interested in using it, and leaving useful feedback / reporting any issues, I would be grateful. https://discord.gg/nBrhBjp686

Github Link: https://github.com/Unravl/Hyvemind

What is Hyvemind?

Hyvemind is a desktop app that combines three modes of AI‑assisted development in a single GUI:

Tasks

A focused conversational interface for building a plan. Every Task is a back‑and‑forth with an AI model of your choice, that ends in a workable plan you can hand off to an agent that will implement it, OR to a Hivemind which will strengthen the plan before implementation.

Hivemind

A concurrent multi‑model review engine. You define a team of LLMs and rounds. Each round runs N models in parallel against the same prompt that an Orchestrator puts together - based on the original plan, gathered source context, and rules.

Outputs from a round are merged and fed into the next round, producing iterative refinement.

The Orchestrator will also score the hivemind reviewers and display the findings for you to get a personal feel of how well models do.

Swarms

Fully autonomous multi‑feature execution. Hand the swarm a goal and a working directory; it runs until the work is done — Queen decomposes, Scouts plan, Workers implement, Guards validate, Nurse keeps it alive when things stall. Best of all, Hiveminds can be invoked at the Queen and Scout level. Swarm plans can be exported, cloned and used against different model compositions!

It currently supports these providers:
Anthropic API, OpenAI API, Claude Subscription, ChatGpt Subscription, OpenRouter, OpenCode Go, Crof, Ollama, NeuralWatt, DeepSeek API, Xiaomi Mimo API, z.ai (GLM), NVIDIA NIM (and any OpenAI Completions compatible API)