Open Source

Aider

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Open-source AI pair programming in your terminal with automatic git commits

Aider (v0.85.4) is a powerful open-source AI pair programming tool that runs entirely in your terminal. It excels at making real-world changes to codebases, automatically creating git commits with descriptive messages. Aider works with all major AI models including GPT-5, Claude 4 Opus, Claude 4 Sonnet, Claude 3.7 Sonnet, DeepSeek R1, GPT-4o, and local models, making it budget-friendly and flexible. The framework works best with models like Claude 3.7 Sonnet, DeepSeek R1, and GPT-4o. Perfect for developers who prefer terminal-based workflows, Aider can edit multiple files simultaneously and understands your entire project structure.

AutoGen

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Microsoft's multi-agent conversation framework for complex AI workflows

AutoGen is Microsoft's open-source framework for building multi-agent AI systems. Version 0.4 (early 2025) introduced a major architectural redesign with an event-driven foundation, segmenting the framework into distinct components: AutoGen-Core, AgentChat, AutoGen-Extensions, and a rebuilt low-code AutoGen Studio. It enables specialized agents to collaborate on complex tasks through async conversations with human-in-the-loop capabilities. Features superior scalability, observability, and cross-language support for Python and .NET.

Continue

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Open-source, model-agnostic AI coding assistant with full customization

Continue is the leading open-source AI coding assistant that works with any LLM. Fully customizable and privacy-first, Continue allows developers to use their preferred AI models (OpenAI, Anthropic, local models, etc.) with custom prompts and configurations. It seamlessly integrates with VS Code and JetBrains IDEs, offering autocomplete, chat, and refactoring capabilities. Perfect for developers who want control over their AI tools, Continue supports self-hosting and can work entirely offline with local models.

CrewAI

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Role-based multi-agent task execution framework for collaborative AI teams

CrewAI is an open-source framework for orchestrating role-based multi-agent AI systems. Designed with team-oriented agents and task delegation, CrewAI is beginner-friendly while being powerful enough for production use. Agents work together like a crew, each with specialized roles, making it perfect for building AI systems that mimic human team workflows.

LangChain

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Framework for building LLM applications with chains, agents, and RAG

LangChain is the leading open-source framework for building applications with large language models. It provides composable components for chains, agents, memory, and tool use, making it easy to build complex AI applications. With support for RAG (Retrieval Augmented Generation), multi-agent systems, and production-grade deployments via LangSmith, LangChain is the foundation for thousands of AI applications worldwide.

LangGraph

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Graph-based framework for building stateful, multi-step AI agents

LangGraph is a specialized framework from LangChain for building stateful, multi-step AI agents with complex workflows. Using graph-based architecture, LangGraph enables branching logic, conditional workflows, and persistent state management. Perfect for building sophisticated AI agents that need to handle complex decision trees and multi-step reasoning with full control over execution flow.