CrewAI
Multi-agent automation framework & studio to build and run AI crews
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Unified framework for building, orchestrating, and deploying AI agents
A multi-language SDK that lets developers create chat agents, graph‑based workflows, and multi‑agent orchestrations in Python or .NET, with built‑in observability, DevUI, and middleware.
When teams consider Microsoft Agent Framework, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Customer support chatbot with escalation
Automates routine inquiries and routes complex issues to human agents via workflow orchestration.
Automated report generation pipeline
Chains data retrieval, analysis, and natural‑language summarization into a single end‑to‑end workflow.
Real‑time data analysis with human‑in‑the‑loop
Streams sensor data to an AI agent, allowing operators to intervene or adjust parameters on the fly.
Reinforcement‑learning research using AF Labs
Leverages experimental labs for benchmarking and training agents in simulated environments.
Use `pip install agent-framework --pre` for Python or `dotnet add package Microsoft.Agents.AI` for .NET.
Full support for Python and C#/.NET with matching APIs.
Yes, the middleware system lets you plug in custom providers or extend existing ones.
The framework includes OpenTelemetry integration for distributed tracing and monitoring.
The project is released under the MIT license.
Project at a glance
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