Privacy-First

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.

Bolt.new

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Build and deploy full-stack applications in minutes with AI from StackBlitz

Bolt.new by StackBlitz is an open-source, AI-powered development environment that creates complete full-stack applications from natural language prompts. Built on StackBlitz's WebContainers technology, it runs a full-stack environment including Node.js servers and package managers directly in the browser. Can now handle projects 1,000 times larger than before. Bolt Cloud provides enterprise-grade backend infrastructure. Bolt can build and deploy production-ready apps in 8-10 minutes with full control over generated code, real-time preview, and instant deployment.

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.

DeepSeek Coder

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Open-source coding LLM with 236B parameters and ultra-affordable API pricing

DeepSeek Coder is a powerful open-source coding LLM with 236 billion parameters and a 128K context window. Released in June 2024 (V2), it supports 338+ programming languages with an MoE (Mixture of Experts) architecture. DeepSeek offers exceptional performance matching GPT-4 Turbo at extremely affordable prices ($0.14-0.28 per million tokens). Perfect for budget-conscious developers and teams who need powerful AI coding capabilities without breaking the bank.

Gemini Code Assist

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Enterprise-grade AI code assistance from Google Cloud

Gemini Code Assist (formerly Duet AI) is Google Cloud's enterprise-grade AI coding assistant. Powered by the Gemini 1.5 Pro and Gemini 2.5 models, it offers robust code completion, generation, and chat capabilities within popular IDEs. With a massive 1 million token context window for local codebase awareness and enterprise indemnification, it's designed for large-scale, secure software development.

LangChain & LangGraph

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Build production-grade AI agents

LangChain is the fastest way to build an AI agent. LangGraph is a lower level framework and runtime, useful for highly custom and controllable agents, designed to support production-grade, long running agents.

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.

AutoGen

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Open-Source Framework for Agentic AI

An open-source framework for orchestrating AI agents, reimagined in v0.4 with an asynchronous, event-driven architecture for dynamic, scalable workflows.

Pieces for Developers

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Your on-device AI workflow assistant for code snippets and context

Pieces for Developers is an AI-enabled productivity tool designed to manage your development workflow. It captures code snippets, screenshots, and workflow context, making them searchable and reusable. With an on-device-first architecture, it ensures privacy while offering powerful AI capabilities like code explanation, transformation, and generation. It seamlessly integrates with your IDE, browser, and collaboration tools to reduce context switching.

StarCoder 2

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State-of-the-art open-access code LLM by BigCode

StarCoder 2 is a family of open-access Large Language Models for code, developed by BigCode (Hugging Face & ServiceNow). Released in February 2024, it comes in 3B, 7B, and 15B parameter sizes. Trained on The Stack v2 (4 trillion tokens), it offers state-of-the-art performance, transparency, and a 16K context window, making it a powerful tool for code completion and generation.

Sweep AI

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AI junior developer that handles GitHub issues and clean up technical debt

Sweep AI is an AI-powered junior developer that automatically handles GitHub issues, writes code, and cleans up technical debt. It reads your codebase, plans changes, and creates pull requests for you to review. Ideal for offloading routine maintenance, bug fixes, and small feature requests, Sweep AI helps teams move faster by automating the coding grunt work.

Tabnine

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Privacy-first AI code assistant with personalized models and zero data retention

Tabnine is an AI code completion tool that prioritizes privacy and security. With support for 30+ languages and personalized team learning, Tabnine offers zero data retention and on-premise deployment options. It provides context-aware code suggestions while ensuring your code never leaves your environment. Perfect for enterprises and privacy-conscious developers, Tabnine combines powerful AI capabilities with strict security standards.

Vercel AI SDK

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The AI Toolkit for TypeScript

The AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications with Next.js, Vue, Svelte, Node.js, and more. Integrating LLMs into applications is complicated and heavily dependent on the specific model provider you use. The AI SDK abstracts away the differences between model providers, eliminates boilerplate code for building chatbots, and allows you to go beyond text output to generate rich, interactive components.