After months of development and contributions from the open-source community, AI Agent Automation v0.11.0 is now available.

This release continues expanding the platform into a more capable AI workflow orchestration system with improvements across the execution engine, multi-agent workflows, developer experience, observability, UI, and platform reliability.

Some highlights

• 🤖 Agent-to-Agent (A2A) communication improvements
• 🐝 Swarm execution engine enhancements
• 🎭 Agent roles, capabilities, and step-level agent overrides
• 🛠️ Workflow API & API key management
• 🔄 Partial workflow replay and resumable execution
• ⚡ Parallel workflow execution improvements
• 📄 Multi-document RAG enhancements
• 🧠 Agent Playground with semantic memory
• 📊 Live dashboard metrics and workflow insights
• 🔍 Improved observability, telemetry, and structured execution logging
• 🔒 Multiple security and validation improvements
• 🎨 Large UI/UX refresh across the application
• 🧩 Dynamic workflow nodes, Quick Add palette, and many workflow builder improvements

This release also includes numerous bug fixes, performance improvements, documentation updates, and developer experience enhancements.

A huge thank you to everyone who contributed code, reviewed pull requests, reported issues, tested features, or provided feedback. We also welcomed many first-time contributors in this release—it's great to see the community growing.

If you're interested in building AI workflow automation systems, self-hosted orchestration platforms, or experimenting with multi-agent architectures, I'd love to hear your feedback and ideas.

GitHub:
https://github.com/vmDeshpande/ai-agent-automation

Release Notes:
https://github.com/vmDeshpande/ai-agent-automation/releases/tag/v0.11.0

Thanks again to everyone who helped make v0.11.0 possible! 🚀