# free

Browser-native frontend coding agent for production codebases

Stagewise is an open-source frontend coding agent with 6,500+ GitHub stars that runs directly in the browser on localhost. YC S25 backed, it lets developers and designers point-and-prompt on live web applications with full devtools and console access, bridging the gap between visual editing and production codebase modification.

Persistent memory plugin for Claude Code with automatic context injection

Claude-Mem is a persistent memory plugin for Claude Code with 44,000+ GitHub stars that captures session context and injects it into future sessions. It features progressive disclosure with token cost visibility, automatic compression, and privacy controls with private tags to manage what gets remembered across coding sessions.

Conversational data analysis with natural language queries over databases

PandasAI enables natural-language queries against databases, data lakes, CSVs, and parquet files using LLMs and RAG pipelines. With 23,400+ GitHub stars, it bridges the gap between database tools and AI by letting developers and analysts interact with data conversationally, supporting SQL, PostgreSQL, and various file formats.

Zero-config conversion of FastAPI endpoints into MCP tools

FastAPI-MCP automatically converts existing FastAPI endpoints into Model Context Protocol tools with zero configuration. With 11,700+ GitHub stars, it is the most popular MCP integration layer, enabling thousands of FastAPI developers to make their APIs accessible to AI agents like Cursor and Claude through the MCP standard.

Open-source framework for real-time voice and multimodal AI agents

Pipecat is an open-source framework with 11,000+ GitHub stars for building real-time voice and multimodal AI agents. Developed by Daily.co, it manages the STT to LLM to TTS pipeline with sub-second latency, integrating with AWS Bedrock, NVIDIA NIM, and AssemblyAI for production-grade voice agent deployment.

Single-file memory layer replacing complex RAG for AI agents

Memvid is an open-source single-file memory system for AI agents with 13,700+ GitHub stars. It replaces complex RAG infrastructure with instant retrieval from portable .mv2 files, claiming 35% accuracy improvement over state-of-the-art on LoCoMo benchmarks with 0.025ms P50 latency. Available for Python, Node.js, Rust, and CLI.

Incremental parsing system powering code intelligence in AI editors

Tree-sitter is an incremental parsing library with 19,000+ GitHub stars used by Cursor, Neovim, GitHub, and Helix for real-time syntax analysis. It generates concrete syntax trees that update incrementally as code changes, enabling AI code editors to understand program structure for intelligent completions, refactoring, and code navigation.

Transparent AI agent framework with 100+ skills and real-time visibility

Agent Zero is an open-source general-purpose AI agent framework with 16,700+ GitHub stars that uses the computer itself as a tool. Unlike structured orchestration frameworks, it provides full transparency where every thought, action, and tool call is visible and editable in real time, supporting 100+ extensible skills.

Open standard for guiding AI coding agents at the repository level

AGENTS.md is an open standard format adopted by 60,000+ open-source projects for providing AI coding agents with repository-level instructions. With 20,000+ GitHub stars, it has been adopted by GitHub Copilot, OpenAI Codex, Google Gemini CLI, and multiple IDEs as the de facto way to communicate project context and coding conventions to AI agents.

Reactive Python notebooks that version with git and deploy as apps

Marimo is a reactive Python notebook environment with 20,000+ GitHub stars and $4M seed funding. Unlike Jupyter, marimo notebooks automatically update dependent cells when values change, version cleanly with git as pure Python files, and deploy directly as interactive web applications without conversion steps.

Enterprise-grade RAG and MCP knowledge base with one-click deployment

MaxKB is an enterprise-grade RAG platform with 21,000+ GitHub stars from the 1Panel team. It provides one-click deployment of knowledge bases with built-in LLM integration, MCP support, and a streamlined approach to document ingestion and retrieval that prioritizes operational simplicity over configuration complexity.

Local open-source AI app builder running entirely on your machine

Dyad is a local-first, open-source AI app builder with 20,000+ GitHub stars that provides a Lovable and Bolt.new alternative running entirely on your machine. It supports React and Next.js frameworks, integrates with Ollama for fully offline AI generation, and works cross-platform on macOS, Windows, and Linux with both cloud and local LLM providers.

Open-source microVMs for secure serverless and AI agent sandboxing

Firecracker is an open-source virtual machine monitor that creates lightweight microVMs with sub-150ms cold starts, originally built by AWS for Lambda and Fargate. With 28,000+ GitHub stars, it provides kernel-level isolation for running untrusted code safely and powers the sandboxing infrastructure behind AI coding agents like Devin and E2B.

No-code knowledge base platform with visual AI workflow and built-in RAG

FastGPT is an open-source no-code AI knowledge base platform with 27,000+ GitHub stars and 500,000+ users worldwide. It combines visual workflow orchestration, built-in RAG pipelines, QA-pair extraction, and API-aligned completions into a single deployable stack that runs on just 2GB RAM via Docker one-liner deployment.

Multi-agent software company simulation for automated development

ChatDev simulates an entire virtual software company through multi-agent collaboration where LLM-powered roles including CEO, CTO, programmer, tester, and designer work together to produce complete software. With 32,000+ GitHub stars and a NeurIPS 2025 accepted paper, it offers a novel approach to automated software development through role-based agent orchestration.

Twelve-lesson curriculum for building AI coding agents from scratch

Learn Claude Code is a comprehensive educational framework with 12 structured lessons teaching AI coding agent construction from first principles. With over 46,000 GitHub stars and 7,000 forks, it provides complete runnable Python implementations progressing from a 50-line bash agent to a 550-line skills agent with modular extensibility and subagent orchestration.

Meta-prompting and context engineering system for Claude Code agents

GSD is a meta-prompting, context engineering, and spec-driven development system designed for Claude Code and compatible AI coding agents. With over 46,000 GitHub stars, it implements a structured four-phase workflow of Discuss, Plan, Execute, and Verify to combat context rot in long AI coding sessions. The system uses multi-agent orchestration with persistent file-based memory.

State-of-the-art OCR toolkit supporting 100+ languages from Baidu

PaddleOCR is an open-source OCR toolkit from Baidu's PaddlePaddle ecosystem with over 73,000 GitHub stars. It provides ultra-lightweight and high-accuracy text detection and recognition for 100+ languages including CJK, Arabic, and Indic scripts. The toolkit offers pre-trained models, easy deployment via pip, and server/edge inference options for document digitization workflows.

2x faster LLM fine-tuning with 70% less VRAM on a single GPU

Unsloth is an open-source framework for fine-tuning large language models up to 2x faster while using 70% less VRAM. Built with custom Triton kernels, it supports 500+ model architectures including Llama 4, Qwen 3, and DeepSeek on consumer NVIDIA GPUs. Unsloth Studio adds a no-code web UI for dataset creation, training observability, model comparison, and GGUF export for Ollama and vLLM deployment.

Free open-source screen recording for developer demos

Openscreen is a free, open-source alternative to Screen Studio for creating polished product demos and tutorials. With no subscriptions, no watermarks, and a commercial-use-friendly license, it provides professional screen recording with zoom effects, cursor highlighting, and export options — purpose-built for developers who create documentation and demo content.

Kubernetes-native distributed LLM inference stack

llm-d is an open-source Kubernetes-native stack for distributed LLM inference with cache-aware routing and disaggregated serving. It separates prefill and decode stages across different GPU pools for optimal resource utilization, routes requests to nodes with warm KV caches, and integrates with vLLM as the serving engine. Apache-2.0 licensed with 2,900+ GitHub stars.

BEAM/Elixir-native framework for durable multi-agent systems

Jido is an Elixir-native AI agent framework that leverages the BEAM virtual machine's concurrency and fault-tolerance for building durable, distributed multi-agent systems. It provides primitives for agent lifecycle management, skill composition, and message-based coordination. Designed for teams running Elixir in production who need agent capabilities. Apache-2.0 with 1,600+ GitHub stars.

Open-source AI coworker with persistent memory and tool use

Rowboat is an open-source AI coworker platform that provides persistent memory, tool use, and multi-agent orchestration in a chat-based interface. It enables teams to build AI assistants that remember context across sessions, access internal tools and databases, and coordinate specialized sub-agents for complex workflows. Over 9,300 GitHub stars.

Go implementation of the Model Context Protocol SDK

mcp-go is a Go implementation of the Model Context Protocol, providing both server and client SDKs for building MCP integrations in Go. It supports stdio and SSE transports, resource management, tool registration, and prompt templates. Designed for Go developers building MCP servers for DevOps tools, CLI applications, and backend services. Over 8,000 GitHub stars.