Compare 284+ AI Agent Tools

The Developer’s Guide toAI Agent Infrastructure

Every tool gets a structured spec sheet — supported LLMs, MCP support, language, pricing, and live GitHub signals. Not marketing copy.

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284Listings5CategoriesUpdated daily from GitHub

Explore by Category

🤝

Multi-Agent Frameworks

16 listings

Code-first tools for wiring up agent teams

🧩

Single-Agent SDKs

10 listings

One-agent-at-a-time patterns and libraries

🎨

No-Code Orchestrators

12 listings

Visual builder UIs for agent workflows

🏢

Enterprise Platforms

12 listings

Cloud provider agent services

📊

Observability & Eval

10 listings

Monitoring, tracing, evaluation, and infrastructure tools

Compare Tools

Side-by-side spec sheets across categories

Tool	Language	LLMs	License	Stars
LangGraph	Python, TS	Any (via LangChain)	open-source	28.1K
CrewAI	Python	Any (via LiteLLM)	open-source	47.7K
AutoGen / AG2	Python	OpenAI, Azure, Local	open-source	56.5K
OpenAI Agents SDK	Python	OpenAI	open-source	20.5K
Google ADK	Python, Java	Gemini, Any	open-source	18.7K
Anthropic Agent SDK	Python	Claude	open-source	4.6K
Mastra	TypeScript	Any (multi-provider)	open-source	9.8K
CAMEL-AI	Python	Any (multi-provider)	open-source	18.0K

LangGraph

Language

Python, TS

LLMs

Any (via LangChain)

MCP Support

Yes

Multi-Agent

Yes

License

open-source

Stars

28.1K

CrewAI

Language

Python

LLMs

Any (via LiteLLM)

MCP Support

Multi-Agent

Yes

License

open-source

Stars

47.7K

AutoGen / AG2

Language

Python

LLMs

OpenAI, Azure, Local

MCP Support

Multi-Agent

Yes

License

open-source

Stars

56.5K

OpenAI Agents SDK

Language

Python

LLMs

OpenAI

MCP Support

Yes

Multi-Agent

Yes

License

open-source

Stars

20.5K

Google ADK

Language

Python, Java

LLMs

Gemini, Any

MCP Support

Yes

Multi-Agent

Yes

License

open-source

Stars

18.7K

Anthropic Agent SDK

Language

Python

LLMs

Claude

MCP Support

Yes

Multi-Agent

Yes

License

open-source

Stars

4.6K

Mastra

Language

TypeScript

LLMs

Any (multi-provider)

MCP Support

Yes

Multi-Agent

Yes

License

open-source

Stars

9.8K

CAMEL-AI

Language

Python

LLMs

Any (multi-provider)

MCP Support

Multi-Agent

Yes

License

open-source

Stars

18.0K

View all Multi-Agent Frameworks

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🤖Agents 🧱Frameworks 🔌MCP Servers ⚡Skills 💬Prompts 🔀Workflows 🔧Dev Tools

Structured Spec Sheets

Every listing has LLM support, MCP compatibility, pricing, and deployment model

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Frequently Asked Questions

What is an AI agent framework?

An AI agent framework is a library or SDK that provides the building blocks for creating autonomous AI systems. These frameworks handle agent orchestration, tool calling, memory management, and multi-step reasoning — letting developers focus on defining agent behavior rather than infrastructure. Popular examples include CrewAI for multi-agent teams and PydanticAI for type-safe single agents.

How does DeepYard compare tools?

Every listing on DeepYard has a structured spec sheet with supported LLMs, MCP compatibility, programming language, license type, pricing tier, and deployment model. We pull live GitHub signals (stars, commit velocity, downloads, contributors) daily. No pay-to-play — rankings are driven by real data.

How do I submit a tool to DeepYard?

Visit the Submit page to suggest an AI agent framework, SDK, orchestrator, or developer tool. All submissions are reviewed before being listed. We verify the tool exists, is accessible, and fits one of our categories.

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DeepYard curates the AI agent ecosystem with live GitHub signals, transparent rankings, and a focus on open-source tools. No pay-to-play listings.

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