Experimental and cutting-edge projects from the Strands open source community - exploring new frontiers in AI agent development, deployment, and tooling.
Strands Labs is the experimental arm of Strands Agents - a space for innovative projects that push the boundaries of what AI agents can do. Labs projects explore new domains, validate novel approaches, and move fast.
- New agent capabilities - experimental tools, patterns, and frameworks that extend what agents can do
- Research-driven projects - ideas validated through real-world usage
- Community innovation - contributions from teams across the Strands ecosystem exploring uncharted territory
| robots | Control robots with natural language through Strands Agents - integrates NVIDIA GR00T and LeRobot |
| robots-sim | Simulated environments for robot agent evaluation and reinforcement learning |
| ai-functions | Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows |
| benchmark-harnesses | Strands-based agents and harnesses for agentic benchmarks |
| harness-optimizer | A framework for optimizing LLM agent harnesses through tunable Formulas - dynamically enhancing the agent and improving those Formulas with optimizers based on collected rollout trajectories |
| pywebrtc-audio | Python bindings for WebRTC's audio processing pipeline - noise suppression, echo cancellation, automatic gain control, and voice activity detection via pybind11 |
Have an experimental idea that pushes AI agents forward? Start a discussion - we'd love to explore it with you.
Strands Agents · Website · Docs · Discussions