7 tools compared on real pricing, genuine strengths, and the limitations that only show up after you buy.
We track 7 Agent Development tools, 7 of which have a free or freemium tier you can evaluate without a sales call. Our picks are LangGraph, CrewAI and Haystack. Each entry below lists real pricing, what it is genuinely good at, and the limitations that only show up after you buy.
| Tool | Pricing model | What it costs |
|---|---|---|
| LangGraph | freemium | Open-source framework, free to use. Paid tiers apply to the surrounding LangSmith platform, not the framework itself. |
| CrewAI | freemium | Open-source framework, free. CrewAI also offers a paid enterprise platform for deployment and management. |
| Haystack | freemium | Open-source framework is free. The deepset AI Platform is a paid, enterprise-oriented managed offering. |
| LlamaIndex | freemium | Open-source framework is free. LlamaCloud (managed parsing and indexing) is sold on usage-based paid plans. |
| Microsoft AutoGen | free | Open-source (MIT), free to use. You pay only for the underlying model API calls. |
| OpenAI AgentKit | freemium | No separate platform fee. Agent Builder design is free; you pay standard OpenAI API model and storage rates for execution. As a reference point, GPT-5.2 runs roughly $1.75 per million input tokens and $14 per million output tokens, with GPT-5 mini at about $0.25 per million input tokens. |
| Semantic Kernel | free | Open-source (MIT), free. Costs come from the model APIs you call. |
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
A framework for orchestrating role-based multi-agent teams, where specialized agents collaborate on a task under a defined process.
An open-source framework from deepset for building production LLM applications — RAG, search, and agents — built around composable pipelines.
A data framework for connecting LLMs to private and enterprise data — ingestion, indexing, retrieval, and agent workflows over your own content.
An open-source framework from Microsoft Research for building multi-agent applications, where agents converse to solve tasks together.
OpenAI first-party agent toolkit — a visual Agent Builder, embeddable ChatKit UI, a connector registry, and evals, billed at plain API rates.
An open-source SDK from Microsoft for integrating LLMs into applications, with a focus on enterprise-grade orchestration in C#, Python, and Java.
Practical playbooks, prompts, and tool stacks — for the SMB operators and enterprise teams actually shipping AI.
Free implementation guides for SMB operators and enterprise teams — workflows, prompts, governance, and tool stacks built to ship.