smolagents alternatives

verdictthe thing serious teams build on: a low-level graph runtime with real durability and human-in-the-loop, 1.0-stable, and proven at production scale. steeper to learn, but it earns it.

switch forteams that need durable state, human-in-the-loop and fine-grained control

verdictthe productionised successor to swarm: a tight event-loop with handoffs, guardrails and built-in tracing that ships fast and reads cleanly. thinner on durability than langgraph, but you can bolt temporal on.

switch forteams that want a small, readable agent sdk with built-in tracing

verdictthe type-safety pick: v1-stable, native temporal durable execution and opentelemetry built in, from the team whose library underpins most python ai. younger multi-agent story than the leaders.

switch forpython teams that want typed, validated agent outputs and clean observability

verdicta clean, ga code-first framework with strong multi-agent orchestration and a real enterprise deploy story on vertex — model-agnostic via litellm, but at its best on gemini and gcp.

switch forteams building multi-agent systems that will deploy on google cloud

verdictthe best-in-class tool-using autonomous loop, because it's literally what runs claude code — with context management no one else matches. the trade-off is deliberate: claude-only.

switch forautonomous agents that use files, commands and code with long-running context

verdictthe most intuitive role-based framework, now free of its old langchain dependency, with flows for when you need determinism. great ergonomics; fine-grained control is the newer part.

switch forteams that think naturally in roles and want agents collaborating on tasks

verdictthe official convergence of autogen and semantic kernel — 1.0 ga, the only serious first-class .net agent framework — but young as a merged product and heavy on azure gravity.

switch for.net shops and azure-centric enterprises building orchestrated agent fleets

verdicta clean, model-driven framework that's genuinely production-used inside aws, ga at 1.0 with four multi-agent primitives — model-agnostic, but with the expected aws pull.

switch foraws-centric teams that want a model-first loop with native multi-agent primitives

verdictan event-driven, 1.0-stable workflow runtime sitting on the strongest rag stack — the natural choice when retrieval, not orchestration, is the hard part of your agent.

switch foragents whose core job is retrieval over your own data

verdicta high-performance, batteries-included library with a genuinely novel framework-agnostic runtime — but the breaking v2 rewrite and the phidata rename hurt its stability story.

switch forteams wanting a fast, batteries-included runtime that can host other frameworks' agents