AI Agents
deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
★ 83.4k starsMIT
View guide →AI-native visual analytics framework that helps agents chart your data.
AVA is an open-source agents project by antvis (antvis/AVA on GitHub). It has 1,571 GitHub stars and 159 forks, is released under the MIT license, and was last updated on GitHub on 30 September 2026.
Add it to your project.
Provide datasets to analyze.
AI picks the right visuals.
Ship auto-generated analytics.
Findings surfaced automatically.
The right chart for the data.
Visuals from natural language.
From the visualization experts.
Built for AI-driven analytics.
Drop it into any product.
Download the source and move into the project folder.
git clone https://github.com/antvis/AVA.git
cd AVAEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandAntV, at antvis/AVA, with 159 forks.
Yes. MIT licensed.
The AI features call a model; check the docs for options.
Review them; auto-insights are a starting point.
The standard AntV-backed set; see the docs.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
A visual playground for agentic workflows: Iterate over your agents 10x faster
Framework-agnostic, git-native standard for defining and sharing AI agents.
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
Build and run agents you can see, understand and trust — framework plus a visual agent service
The most-starred other Agents projects in the LibreAI catalogue — the realistic shortlist if AVA is not the right fit.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Free and open — grab the source, star the repo, and start creating.