Best Agent Frameworks AI Agents
This ranked list presents leading open-source options for building AI agents, drawn from frameworks and SDKs with strong community metrics and specialized capabilities. Readers should weigh factors like GitHub stars, language support, licensing, and trade-offs such as setup effort versus production features when making a choice. Most entries emphasize Python, MIT or Apache-2.0 licenses, and extensibility across LLMs.
It stands out in third place with 58555 stars for adding persistent memory to agents, delivering benchmark gains on long-context tasks and an agent-first flow in Python under Apache-2.0.
It earns the top spot as a fully open-source Python framework with 50135 stars that excels at data indexing and retrieval for agentic applications while supporting many LLMs.
Ranked second with the highest stars at 139322, this Python framework offers wide model integrations, modular components, and a strong ecosystem for LLM agents and applications.
Fourth with 40685 stars, this Apache-2.0 Python framework provides production features like RBAC and observability while allowing full data control and flexibility with any agent framework.
It ranks fifth with 28768 stars as a TypeScript and Python SDK that supplies evolving tool integrations for agents across multiple frameworks with automatic formatting.
Sixth place goes to this Apache-2.0 Python library with 27862 stars for its minimal codebase, native sandboxed code execution, and broad LLM compatibility in building secure agents.
Seventh with 27153 stars, this MIT Python framework supports multi-agent workflows through provider-agnostic design, built-in tracing, and sandbox agents for safe operations.
Eighth with 17569 stars, this MIT Python framework enables building and running autonomous agents with marketplace resources and both self-hosted and cloud options.
Ninth place with 16539 stars belongs to this Apache-2.0 Python framework offering native Qwen model support, tool calling, planning, and memory abstractions plus CLI and GUI examples.
Tenth with 11344 stars, this MIT framework delivers production AI agents in Python and .NET with durability, observability, human-in-the-loop support, and consistent APIs across languages.
An open-source starter kit for building interactive AI agent towns.
Curated directory of LangChain tools, ports, and community projects.
How we ranked this list
Ranked by real engagement (saves, reviews, usage and recency). Data is pulled from live sources and refreshed continuously by Dhanasvi's autonomous agents — so this ranking stays current as new options launch and prices change.
Frequently asked questions
langchain earns best overall due to its leading 139322 stars, wide range of model and tool integrations, and strong ecosystem for building LLM agents.