Agent Frameworks

Agent frameworks, system prompts, subagent configurations, tool calling, MCP servers, and plugin ecosystems.

6 Repositories Agents Updated Jul 16

Subcategories

Agent Frameworks 6 Orchestration 23 System Prompts 7 Subagents 6 Tools & Plugins 79 MCP Servers 13 General Agents 0

Topic guide

How to choose an open source AI agent framework

Agent frameworks help developers coordinate model calls, tools, memory, planning, and execution loops. The best fit depends on whether you are prototyping, orchestrating multiple agents, or shipping a controlled workflow inside a product.

When to use this category

Build assistants that call tools and APIs.
Create repeatable research, coding, or operations workflows.
Coordinate planner, worker, reviewer, and verifier roles.
Evaluate how different frameworks handle memory and state.

How to choose

Start with the runtime model: graph-based orchestration, task queues, conversational agents, or explicit function calls.
Check observability, cancellation, retries, and human approval points before adopting a framework.
Review examples for your language and deployment target, not only benchmark demos.
Avoid frameworks that hide tool permissions or make recovery from partial failure unclear.

Agent Frameworks repositories

6 repositories sorted by GitHub stars. Use the interactive explorer for live filters.

Interactive explorer

autogen

General AIGC

A programming framework for agentic AI

AIGCPythonagenticagentic-agiagentsai

Good for

Explore a popular aigc repository
Study implementation patterns for Python projects
Open GitHub for documentation, examples, and issues

60k stars Python

GitHub

crewAI

General AIGC

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

AIGCPythonagentsaiai-agentsaiagentframework

Good for

Explore a popular aigc repository
Study implementation patterns for Python projects
Open GitHub for documentation, examples, and issues

56k stars Python

GitHub

langfuse

Observability

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

OperationsTypeScriptanalyticsautogenevaluationlangchain

Good for

Explore a popular operations repository
Study implementation patterns for TypeScript projects
Open GitHub for documentation, examples, and issues

31k stars TypeScript

GitHub

opik

CI/CD

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

OperationsPythonevaluationhacktoberfesthacktoberfest2025langchain

Good for

Explore a popular operations repository
Study implementation patterns for Python projects
Open GitHub for documentation, examples, and issues

21k stars Python

GitHub

langchain4j

API Frameworks

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

BackendJavaanthropicchatgptchromaembeddings

Good for

Explore a popular backend repository
Study implementation patterns for Java projects
Open GitHub for documentation, examples, and issues

13k stars Java

GitHub

voltagent

General Operations

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

OperationsTypeScriptagentsaiai-agentsai-agents-framework

Good for

Explore a popular operations repository
Study implementation patterns for TypeScript projects
Open GitHub for documentation, examples, and issues

10k stars TypeScript

GitHub