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Agent Frameworks

Build AI agents with frameworks for tool use, planning and documented task workflows. Compare official resources, requirements and limitations.

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Agent Frameworks projects

S Sam Framework SAM Framework is a Python framework for developing AI agents that retain context, call tools and operate around Solana workflows.

A Aiagentworkshop Aiagentworkshop is a public Jupyter Notebook workshop repository that teaches augmented-LLM building blocks, AI workflow patterns, and agent examples using CrewAI and SmolAgent.

A Agenite Agenite is a modular, type-safe TypeScript framework for creating and composing AI agents, integrating tools, and coordinating multi-agent workflows.

B Baseai BaseAI is a TypeScript framework for building AI agents from configurable pipes, memory and tools, with a documented workflow for local development and serverless deployment.

V Veldra Veldra is a self-hostable, local-first agent platform that creates configurable agents from natural-language descriptions, routes tasks, connects tools through MCP and supports knowledge-grounded work.

A Agentok Studio Agentok Studio is a visual development environment for designing multi-agent applications with AG2. It lets builders arrange agent workflows, configure tools and generate native Python code targeting AG2 v1.

H Hydra — hassenhamdi HyDRA is an MIT-licensed Python framework for agentic retrieval-augmented generation, combining hierarchical agents, iterative planning and retrieval with a learning loop that stores policies from past interactions.

C Codefuse Muagent Codefuse Muagent is a Python framework for building LLM agents driven by eventic knowledge graphs.