Agent frameworks
LangGraph
LangChain's orchestration framework for building stateful, reliable agents.
The most battle-tested way to build controllable, long-running agents in Python or TypeScript.
Verified
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AI tool directory / Agent frameworks / Alternatives
Pydantic AI: Type-safe Python agent framework from the Pydantic team. These 10 agent frameworks do similar jobs, listed from highest to lowest RobotWise score. Descriptions come from each vendor's own site.
LangChain's orchestration framework for building stateful, reliable agents.
The most battle-tested way to build controllable, long-running agents in Python or TypeScript.
Verified
Vercel's TypeScript toolkit for building AI apps and agents with any model provider.
Verified
OpenAI's lightweight Python framework for multi-agent workflows.
Verified
Google's open-source framework for building, debugging and deploying AI agents, in Python, TypeScript, Go, Java and Kotlin.
Verified
Platform and framework for orchestrating teams of collaborating AI agents.
Verified
Cursor's framework for defining agents in code, testing them with evals, and deploying to Cursor or your own infrastructure. Generally available October 20, 2026.
Verified
TypeScript framework for AI agents, workflows and apps.
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Framework and cloud for document agents, parsing and retrieval workflows.
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Hugging Face's open-source Python library for building agents in a few lines of code, with code agents that can run in sandboxes.
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Generally available Markdown agent workflows in GitHub Actions. A Markdown file compiles to Actions YAML and runs a coding agent for tasks like issue triage and CI failure analysis, with read-only permissions by default.
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