Hugging Face's minimal open-source Python library for building agents, with first-class code agents that write their actions as code.
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SDK & Decision Frameworks
Build AI applications with structured decisions and agent workflows. Explore SDKs and frameworks for connecting models, tools, and application logic.
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18 matching projects
An open-source programming language for writing typed LLM functions and agents, callable from Python, TypeScript, Go, Java, C# and more.
An open-source agent SDK plus AgentOS, a runtime for building, deploying and improving agents in your own cloud.
An open-source library for getting validated, structured outputs from LLMs, with versions for Python, TypeScript, Go and Ruby.
SDK & Decision FrameworksApache-2.0
An open-source library from .txt that constrains LLM generation so outputs always match a JSON schema, regular expression or grammar.
OpenAI's lightweight open-source framework for building multi-agent workflows with tools, handoffs, guardrails and tracing.
LangChain's open-source framework for building controllable agents as graphs, with durable execution, memory, streaming and human-in-the-loop steps.
SDK & Decision FrameworksApache-2.0
Google's open-source Agent Development Kit (ADK) for building multi-agent systems in Python, TypeScript, Go, Java and Kotlin, with deployment to Google Cloud or your own infrastructure.
A TypeScript framework for AI agents and apps with memory, tools, MCP and observability.
A multi-agent platform and framework for orchestrating teams of AI agents.
A tool integration platform with Python and TypeScript SDKs for connecting agents to external applications.
A TypeScript toolkit for building AI applications with model providers, streaming responses, and frontend integrations.
An open-source framework of modular building blocks for agentic, context-engineered AI systems.
TypeSafe AI’s model for answering typed decision questions with structured values and probability distributions.
A JavaScript and TypeScript framework for building agents with model integrations, tools, and configurable behavior.
AI agents for document parsing (LlamaParse) and workflows, alongside its framework for building on your data.
An open-source TypeScript agent framework and product stack with a runtime, applications, and plugins.
A Python framework for programming rather than prompting language models, with algorithms to optimize prompts and weights.