🚀 crewai-go v0.4.0 is live!

If you love the multi-agent AI orchestration concepts from Python’s CrewAI, but want the performance, native concurrency, and low memory footprint of Go, check out crewai-go. The v0.4.0 release brings key capabilities to make building multi-agent systems in Go fast, type-safe, and production-ready. ✨ Key Highlights: 🛠️ Custom Tools: Easily create and bind custom tools using tools.NewTool(...). 🔄 Sequential Context Flow: Outputs from previous tasks flow directly into subsequent tasks as context. 📦 Structured Outputs: Map LLM responses straight into native Go structs using standard json:"..." tags. 🏠 Flexible Provider Support: Run fully offline with Ollama or integrate seamlessly with OpenAI. 🧠 Short-Term Memory: Agents keep context across complex task executions. 💡 Quick Example: package main import ( "context" "fmt" "log" "github.com/rhgs/crewai-go/crew" ) func main () { researcher := crew . NewAgent ( crew . AgentConfig { Role : "AI Researcher" , Goal : "Analyze tech trends" , Backstory : "An expert in discovering high-impact open-source Go tools." , }) task := crew . NewTask ( crew . TaskConfig { Description : "Summarize the main benefits of using Go for AI agent orchestration." , ExpectedOutput : "3 concise bullet points." , Agent : researcher , }) c := crew . NewCrew ( crew . CrewConfig { Agents : [] * crew . Agent { researcher }, Tasks : [] * crew . Task { task }, }) result , err := c . Kickoff ( context . Background ()) if err != nil { log . Fatal ( err ) } fmt . Println ( result . Raw ) } 🔗 Release details & GitHub repo: github.com/rhgs/crewai-go/releases/tag/v0.4.0