autogen vs adk-rust
Multi-agent AI frameworks compared
autogen and adk-rust both help developers build AI agents and orchestrate workflows involving models and tools. autogen is a Python framework in maintenance mode, while adk-rust is an actively developed Rust framework with a broad set of workflow and service capabilities.
autogen: Build Multi-Agent AI Applications
AutoGen is a Python framework for building AI agents that work independently or alongside people. It supports multi-agent orchestration, model and tool integrations, and prototyping, but is now in maintenance mode.
adk-rust: Build AI Agents in Rust
ADK-Rust is an async, model-agnostic framework for building and running AI agents in Rust. It combines agent orchestration with tools, memory, graph workflows, servers, and realtime voice capabilities.
| autogen | adk-rust | |
|---|---|---|
| Language | Python | Rust |
| License | CC-BY-4.0 | — |
| Stars | 61.3k | 717 |
| Forks | 9.3k | 111 |
| Last analyzed | Oct 3, 2026 | Oct 21, 2026 |
Key differences
- autogen is written in Python, while adk-rust is written in Rust and requires Rust 1.95 or newer.
- autogen is in maintenance mode, with future work limited to fixes and documentation; adk-rust is actively developed, though its 3.0.0 release candidate has breaking API changes.
- autogen offers Core, AgentChat, and Extensions APIs, along with AutoGen Studio for prototyping and AutoGen Bench for evaluation; adk-rust organizes capabilities across separate crates.
- adk-rust describes graph workflows with checkpoints, durable resume, approvals, and audit records; autogen focuses on event-driven agents and higher-level chat and orchestration patterns.
- adk-rust includes HTTP serving, durable background runs, and realtime voice integrations; AutoGen Studio is for prototyping and demonstrations, not production deployment.
- autogen lists a CC-BY-4.0 license; adk-rust's supplied project details do not specify a license.
Choose autogen if you…
- maintain or migrate an existing AutoGen application.
- want to prototype multi-agent workflows with AutoGen Studio or evaluate agent performance with AutoGen Bench.
- prefer its Python APIs for event-driven agents and higher-level chat patterns.
Choose adk-rust if you…
- want an async, model-agnostic agent framework in Rust.
- need graph workflows with checkpoints, durable resume, or human approvals.
- plan to serve agents over HTTP or prototype realtime voice and multimodal agents.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.