AI Agents
ten-framework
Open-source framework for conversational voice AI agents
★ 11.1k starsUnknown
View guide →An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
deer-flow is an open-source ai agents project by bytedance (bytedance/deer-flow on GitHub). It has 83,355 GitHub stars and 11,569 forks, is released under the MIT license, and was last updated on GitHub on 3 October 2026.
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Large language models drive its smartest features, locally or via API.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Download the source and move into the project folder.
git clone https://github.com/bytedance/deer-flow.git
cd deer-flowEvery 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 commandIt is an open-source project at bytedance/deer-flow with 11,569 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Open-source framework for conversational voice AI agents
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic t…
A control plane with a durable state kernel that keeps long-horizon agents moving across sessions.
A benchmark testing whether agents can solve long-horizon coding tasks.
Agentic framework for long-horizon autonomous scientific discovery.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if deer-flow 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.