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Agent Frameworks

Frameworks for building autonomous AI agents that plan multi-step tasks, use tools, manage memory, and coordinate sub-agents — LangGraph, CrewAI, AutoGen, and more.

3AI Models
Most Popular In
Multi-Agent OrchestrationTool Use & Function CallingLong-Term Memory
Notable Developers
LangChain (LangGraph)CrewAIMicrosoft (AutoGen)OpenAI Agents SDKGoogle (ADK)
Updated Jun 12, 2026
Curated by FreeAPIHub editors
Topics:Multi-Agent OrchestrationTool Use & Function CallingLong-Term MemoryHuman-in-the-LoopTask PlanningAutonomous Workflows
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SK

Skyvern

🔥 Hot
by Skyvern AI

Skyvern is an open-source AI agent that automates browser-based workflows. It combines large language models with computer vision to navigate and operate websites the way a person would, without brittle, hand-coded selectors.

GPL v3Browser automation f
View model
CA

Camel-AI

🔥 Hot
by Camel-AI Community (KAUST)

CAMEL is an open-source framework for building multi-agent systems, where AI agents take on roles and communicate to solve tasks together. It is a research-driven toolkit for studying and deploying collaborative, autonomous agents.

Apache 2.0Multi-agent framewor
View model
AU

Auto-GPT

🔥 Hot
by Significant Gravitas

AutoGPT is a pioneering open-source framework for building autonomous AI agents. It chains LLM calls into self-directed loops that plan, act with tools and pursue a high-level goal with minimal human input.

MITAgent framework (use
View model
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About this category

Agent Frameworks — developer guide

What Are AI Agent Frameworks?

Agent frameworks give language models the scaffolding to act, not just respond. Instead of answering a single question, an agent can browse the web, write and execute code, query databases, call external APIs, spawn sub-agents for parallel work, and iterate until a complex goal is achieved. In 2025–2026, major releases from LangGraph 1.0, CrewAI, OpenAI Agents SDK, Google ADK, and Microsoft's unified AutoGen + Semantic Kernel stack have made agentic deployment production-ready.

What Teams Build With Agent Frameworks

  • Autonomous research assistants that gather, summarise, and cite web sources
  • Multi-agent code-review pipelines with specialist reviewer and fixer agents
  • Customer-service bots that route, escalate, and resolve tickets without human handoff
  • Financial analysis workflows that pull data, run calculations, and draft reports
  • DevOps agents that monitor alerts, run diagnostics, and open PRs with fixes
  • Document processing pipelines with parallel extraction and validation agents

Picking the Right Framework

LangGraph (stable 1.0 since October 2025) is the production choice for teams already in the LangChain ecosystem — it powers agents at LinkedIn, Uber, and 400+ companies. CrewAI suits role-based multi-agent orchestration and reached $3.2M ARR with 150+ enterprise customers by mid-2025. OpenAI Agents SDK (March 2026) and Google ADK (April 2026) integrate tightly with their respective model families. For open, framework-agnostic deployments, Microsoft's AutoGen 0.4+ provides strong human-in-the-loop controls. All support tool use, memory, and streaming out of the box.