AI Agents
ruflo
Agent harness for multi-agent swarms: deploy, coordinate and federate autonomous workflows
★ 74.1k starsMIT
View guide →Take multi-agent AutoGen workflows to production, fast.
fastagency is an open-source ai agents project by ag2ai (ag2ai/fastagency on GitHub). It has 547 GitHub stars and 65 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 23 February 2026.
Know what you want the agent to accomplish before touching any code.
Clone the repo and read the README's requirements section.
Install what's needed and add API keys or configuration.
Run the quickstart example, then iterate from there.
Builds on Microsoft's multi-agent framework.
Mesop-powered interface out of the box.
From notebook to deployable app.
Multi-agent collaboration patterns.
Native to the AutoGen ecosystem.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/ag2ai/fastagency.git
cd fastagencyIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m fastagency # check README for the exact commandIt is an open-source project at ag2ai/fastagency with 65 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
Last push was February 2026 — check issues and forks for current status.
It helps — FastAgency builds on AutoGen, adding the UI and production path.
Clone the repo and follow the README quickstart — the docs at https://fastagency.ai/latest walk through setup.
Agent harness for multi-agent swarms: deploy, coordinate and federate autonomous workflows
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