evolver
A GEP-powered self-evolving engine for AI agents — auditable evolution with Genes, Capsules and Events.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
reef is an open-source ai agents project by Human-Agent-Society (Human-Agent-Society/reef on GitHub). It has 7,504 GitHub stars and 698 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Choose your improvement path — weight training, harness evolution, or both — and identify which agent traffic and feedback signals will drive it.
Clone Human-Agent-Society/reef from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Install reef-infra from PyPI for use, or clone and install from source for development and the full recipes.
Stand up a minimal deployment, send a provider-compatible inference request through it, then send an outcome report and confirm the loop records it.
Supports weight-training deployments and harness-evolving deployments, so improvement can target the model or its scaffolding.
Your agent sends provider-compatible inference requests through Reef, keeping the integration surface familiar.
Clients send reports about inference outcomes back to Reef, closing the loop that continual improvement needs.
Designed to slot into an agent stack you already run, rather than replacing your agent framework.
Ships recipes and examples for the documented deployment patterns.
Install reef-infra from PyPI, or from source with uv, including an optional slime extra for the training path.
Get the source from the official GitHub repository for reef.
git clone https://github.com/Human-Agent-Society/reef.git
cd reefInstall the published package as the README's installation section shows.
uv pip install reef-infraClone the repository and install it in editable mode (with the training extra if you need it).
git clone https://github.com/Human-Agent-Society/reef.git
cd reef
uv pip install -e .Human-Agent-Society, through the Human-Agent-Society/reef repository, with the site at reefinfra.ai.
Yes — the project is open source under the Apache-2.0 license as recorded for this listing. See the license terms for any conditions on redistribution.
Reef's inference path is provider-compatible, so model calls use your configured provider and keys; Reef itself is free and Apache-2.0 licensed.
Frameworks help you build and run an agent once. Reef is infrastructure for what happens next — collecting inference outcomes and continually improving weights or harness — so it complements a framework rather than competing with it.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — stand up a minimal deployment, send a provider-compatible inference request through it, then send an outcome report and confirm the loop records it.
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