# Archestack > Independent rankings of open-source AI and vibe coding projects. Every project is fact-checked on GitHub (stars, last commit, license, Docker files), scored out of 100 from public GitHub signals, and reviewed with strengths and weaknesses. No pay-to-rank. - [All projects as JSON](https://archestack.com/data.json): every ranked project with its score, place, review and page URL (CC BY 4.0) - [Open data API](https://archestack.com/api/): per-project, per-category and per-list JSON with score parts, facts and reviews; index at https://archestack.com/api/v1/index.json - [MCP server](https://github.com/archestack/mcp): `npx -y @archestack/mcp`, read-only tools over the API (search, top of a category, one project, deploy facts, compare, alternatives); hosted copy at https://mcp.archestack.com/mcp (streamable HTTP, no sign-in) - [Check before you install](https://archestack.com/check/): paste a GitHub link to a skill, plugin or MCP server and see its license in plain words, upkeep, safety checks and the higher-ranked projects for the same job; shareable as https://archestack.com/check/?repo=owner/repo - [Rising](https://archestack.com/rising/): the listed projects with the most GitHub stars gained in the last 7 and 30 days, from GitHub's daily star counts; RSS at https://archestack.com/rising.xml - [State of MCP servers and agent skills, Q4 2026](https://archestack.com/reports/state-of-mcp-2026-q4/): 19 of the 100 MCP servers and agent skills we checked, of 441 on our lists, pass every check that applies. The most common gaps, the patterns behind recent incidents, and CVEs that name an MCP server by quarter. - [Teams behind the stack](https://archestack.com/jobs/): open roles at 53 teams that maintain listed projects, next to the projects they build, linked to each team's own careers page ## Best of Vibe Coding Best of Vibe Coding is a ranked list of 810 open-source projects for building software with AI: starter templates and SaaS boilerplates, coding agents and assistants, editors, skills and plugins, MCP servers for developers, code review, design to code, and the backends and hosting you ship on. Each entry has strengths, weaknesses and a score from public GitHub signals. - [Best of Vibe Coding](https://archestack.com/best-of-vibe-coding/): top 10, every category, how the score works - [Chat apps](https://archestack.com/best-of-vibe-coding/chat-apps/): Chat interfaces and single-feature text apps you fork as the base of a conversational product. - [RAG and search](https://archestack.com/best-of-vibe-coding/rag-search/): Retrieval over your own documents or data, answer engines, and natural-language-to-SQL starters. - [Agent and MCP starters](https://archestack.com/best-of-vibe-coding/agents/): Agent backends and UIs to fork (LangGraph, ADK, OpenAI Agents SDK, Cloudflare Agents) and templates for MCP servers and chat-host apps. - [Voice and realtime](https://archestack.com/best-of-vibe-coding/voice-realtime/): Voice agents, realtime speech-to-speech apps and their web, phone and native clients. - [SaaS and app starters](https://archestack.com/best-of-vibe-coding/saas-with-ai/): Product boilerplates with auth, billing and a database wired in and AI built in, plus mobile and browser-extension starters. - [App builder starters](https://archestack.com/best-of-vibe-coding/app-builders/): Prompt-to-app builders and platforms that run coding agents in sandboxes. - [AI editors and workflow canvases](https://archestack.com/best-of-vibe-coding/editors-workflows/): Rich-text editors with AI commands and node-based canvases for chaining model calls. - [Backend and cloud templates](https://archestack.com/best-of-vibe-coding/cloud-reference/): Backend service templates (FastAPI, Express, Hono) that expose models or agents over an API, and vendor reference apps for Azure or Google Cloud. - [Coding agents and AI editors](https://archestack.com/best-of-vibe-coding/coding-agents/): Agents, assistants and editors that read your repo, write code and run commands, including tools that turn designs and screenshots into code. - [Skills, plugins and prompts](https://archestack.com/best-of-vibe-coding/skills-plugins/): Add-ons that make coding agents better (skills, plugins, rules, hooks, memory) and prompt collections to learn from or reuse. - [MCP servers for developers](https://archestack.com/best-of-vibe-coding/dev-mcp/): MCP servers that give coding agents tools: docs lookup, browsers, GitHub, databases and code navigation. - [Code review and testing](https://archestack.com/best-of-vibe-coding/code-review/): AI tools that review pull requests, write tests or find bugs, run in your CI or on your machine. - [Backends, databases and hosting](https://archestack.com/best-of-vibe-coding/backends/): Open-source backends you ship apps on (auth, database, storage, APIs) and self-hosted platforms that deploy them from Git or Docker. ## Best of Open-Source AI Best of Open-Source AI is a ranked list of 844 open-source AI projects: chat apps and assistants, desktop apps, agent platforms and frameworks, workflow automation, RAG, memory, model serving, open models, training, image, video and voice, vector databases, gateways, observability, sandboxes, data tools, MCP servers and learning material. Each entry has strengths, weaknesses, specs and a score from public GitHub signals. - [Best of Open-Source AI](https://archestack.com/best-of-ai/): top 10, every category, how the score works - [Assistants](https://archestack.com/best-of-ai/assistants/): Personal AI assistants you run yourself and talk to through chat apps, with memory and the ability to act. - [Chat UIs](https://archestack.com/best-of-ai/chat-ui/): Web front-ends for local or API models, usually with user accounts, chat history and file upload. - [Desktop AI apps](https://archestack.com/best-of-ai/desktop-apps/): Apps you install on your own computer to chat with local or API models, often with document chat and agents built in. - [Agent platforms](https://archestack.com/best-of-ai/agent-platforms/): Visual or code-first builders for agents and workflows, with orchestration, tools and deployment. - [Workflow automation with AI](https://archestack.com/best-of-ai/automation/): Workflow and integration platforms with AI steps or agent nodes, for wiring models into the rest of your tools. - [RAG, knowledge and search](https://archestack.com/best-of-ai/rag-knowledge/): Document Q&A, knowledge bases and private search over your own files and the web, with queries kept on your host. - [Voice](https://archestack.com/best-of-ai/voice/): Speech-to-text, text-to-speech, voice agents and meeting tools that run locally. - [Image and video](https://archestack.com/best-of-ai/image-video/): Generation UIs and pipelines for images and video, usually around diffusion models. - [Security](https://archestack.com/best-of-ai/security/): AI agents and tools for penetration testing, red-teaming and finding vulnerabilities in your own apps and models. - [Agent frameworks and SDKs](https://archestack.com/best-of-ai/agent-frameworks/): Libraries for building agents and LLM apps in code: tool calling, planning, multi-agent setups and browser control. - [Memory](https://archestack.com/best-of-ai/memory/): Long-term memory engines that store and retrieve facts for agents across sessions. - [Model serving](https://archestack.com/best-of-ai/model-serving/): Inference engines and model servers that expose local models over an API. - [Open models](https://archestack.com/best-of-ai/models/): Repositories of open-weight models with the code to run them: LLMs, vision, speech and embedding models. - [Training and fine-tuning](https://archestack.com/best-of-ai/training/): Tools to fine-tune, train or distill models on your own data and GPUs, from LoRA scripts to full training stacks. - [ML frameworks and libraries](https://archestack.com/best-of-ai/ml-frameworks/): The libraries models are built and run with: tensor frameworks, model zoos and the tooling around them. - [Gateways and observability](https://archestack.com/best-of-ai/gateways/): LLM gateways and proxies for routing, caching and cost control, and tracing, evaluation and prompt management for LLM apps. - [Vector databases](https://archestack.com/best-of-ai/vector-db/): Vector stores and hybrid search engines for embeddings. - [Sandboxes](https://archestack.com/best-of-ai/sandboxes/): Isolated runtimes where agents execute code, browse or use tools safely. - [Data and scraping for AI](https://archestack.com/best-of-ai/data-tools/): Tools that turn web pages, PDFs and documents into clean text or structured data that models can use. - [MCP servers](https://archestack.com/best-of-ai/mcp-servers/): Model Context Protocol servers that give AI assistants tools and data. Coding-focused ones are on Best of Vibe Coding. - [Learning and cookbooks](https://archestack.com/best-of-ai/learning/): Courses, cookbooks and guides with runnable code, for learning to build with AI. ## Open-source alternatives - [Open-source alternatives to Cursor](https://archestack.com/alternatives/cursor/) - [Open-source alternatives to GitHub Copilot](https://archestack.com/alternatives/github-copilot/) - [Open-source alternatives to Claude Code](https://archestack.com/alternatives/claude-code/) - [Open-source alternatives to Devin](https://archestack.com/alternatives/devin/) - [Open-source alternatives to Tabnine](https://archestack.com/alternatives/tabnine/) - [Open-source alternatives to Lovable](https://archestack.com/alternatives/lovable/) - [Open-source alternatives to v0](https://archestack.com/alternatives/v0/) - [Open-source alternatives to Bolt.new](https://archestack.com/alternatives/bolt-new/) - [Open-source alternatives to Replit](https://archestack.com/alternatives/replit/) - [Open-source alternatives to CodeRabbit](https://archestack.com/alternatives/coderabbit/) - [Open-source alternatives to Firebase](https://archestack.com/alternatives/firebase/) - [Open-source alternatives to Vercel](https://archestack.com/alternatives/vercel/) - [Open-source alternatives to Heroku](https://archestack.com/alternatives/heroku/) - [Open-source alternatives to Vapi](https://archestack.com/alternatives/vapi/) - [Open-source alternatives to ShipFast](https://archestack.com/alternatives/shipfast/) - [Open-source alternatives to ChatGPT](https://archestack.com/alternatives/chatgpt/) - [Open-source alternatives to Manus](https://archestack.com/alternatives/manus/) - [Open-source alternatives to Perplexity](https://archestack.com/alternatives/perplexity/) - [Open-source alternatives to LM Studio](https://archestack.com/alternatives/lm-studio/) - [Open-source alternatives to Glean](https://archestack.com/alternatives/glean/) - [Open-source alternatives to Copilot Studio](https://archestack.com/alternatives/copilot-studio/) - [Open-source alternatives to NotebookLM](https://archestack.com/alternatives/notebooklm/) - [Open-source alternatives to Zapier](https://archestack.com/alternatives/zapier/) - [Open-source alternatives to OpenAI API](https://archestack.com/alternatives/openai-api/) - [Open-source alternatives to OpenRouter](https://archestack.com/alternatives/openrouter/) - [Open-source alternatives to LangSmith](https://archestack.com/alternatives/langsmith/) - [Open-source alternatives to Pinecone](https://archestack.com/alternatives/pinecone/) - [Open-source alternatives to Midjourney](https://archestack.com/alternatives/midjourney/) - [Open-source alternatives to ElevenLabs](https://archestack.com/alternatives/elevenlabs/) - [Open-source alternatives to Otter.ai](https://archestack.com/alternatives/otter-ai/) - [Open-source alternatives to Mem](https://archestack.com/alternatives/mem/) - [Open-source alternatives to Apify](https://archestack.com/alternatives/apify/) - [Open-source alternatives to LlamaParse](https://archestack.com/alternatives/llamaparse/) - [Open-source alternatives to Suno](https://archestack.com/alternatives/suno/) - [Open-source alternatives to DeepL](https://archestack.com/alternatives/deepl/) - [Open-source alternatives to Gamma](https://archestack.com/alternatives/gamma/) - [Open-source alternatives to Granola](https://archestack.com/alternatives/granola/) - [Open-source alternatives to Wispr Flow](https://archestack.com/alternatives/wispr-flow/) - [Open-source alternatives to Deepgram](https://archestack.com/alternatives/deepgram/) - [Open-source alternatives to Browserbase](https://archestack.com/alternatives/browserbase/) - [Open-source alternatives to Character.AI](https://archestack.com/alternatives/character-ai/) - [Open-source alternatives to HeyGen](https://archestack.com/alternatives/heygen/)