AgentFork
AgentFork lets maintainers and teams connect a GitHub repo. Our AI indexes the codebase — detects the framework, databases, services, and build steps — and generates an environment spec. Anyone can then fork the project and get a fully provisioned cloud environment with a live preview URL. Databases like Postgres and Redis are spun up automatically. The idea is that AI agents (or any contributor) can fork, make changes, and verify them against a real running instance without anyone configuring infrastructure. Early stage — waitlist is open at agentfork.dev. Would love technical feedback on…
AgentFork launched on March 12, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
Every new contributor hits the same wall — Docker, env vars, database setup. Most give up before writing code. AgentFork fixes this. Connect your repo, our AI detects the full stack, and every fork gets a cloud environment with databases and a live preview URL. Zero config — the AI figures it out. No Docker, no terminal, no local setup. Even someone who's never touched a database can fork your project and start contributing in seconds. Your repo, instantly runnable and contributable by ANYONE.
Make any open source project forkable in one click. AI analyzes the codebase, detects the full stack, and gives every contributor a live preview URL.
AgentFork gives every fork a fully working environment — databases, services, and a live preview URL — so any contributor or AI agent can go from fork to running code in seconds. Connect your repo once. Every fork after that gets a complete, working environment automatically. Connect your repo and our AI reads your config files — package.json, docker-compose, prisma schema — and infers the exact framework, databases, and build steps automatically. Need Postgres? Redis? It's spun up instantly. We automatically inject the correct `DATABASE_URL` into your fork's environment. Every fork generates a unique, secure `*.agentfork.dev` preview URL. Test changes in real-time without localhost ports.…from agentfork.dev
In the maker’s words, at launch
AgentFork lets maintainers and teams connect a GitHub repo. Our AI indexes the codebase — detects the framework, databases, services, and build steps — and generates an environment spec. Anyone can then fork the project and get a fully provisioned cloud environment with a live preview URL. Databases like Postgres and…
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InsForgeMar 2026 · insforge.dev · ▲622We built InsForge because we wanted to use pure prompts to build a production-grade app faster. In practice, AI isn’t reliable enough when generating code or configuring backend pieces like schema, RLS, auth, or functions. Postgres MCP and Supabase MCP are a good starting point, but they felt more like API wrappers for agents than something designed to guide AI safely through backend tasks. So we built our own MCP server on top of Postgres and added a set of context-engineering tools to make prompt-driven workflows more predictable. It gradually turned into a Postgres-based BaaS. Key…
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Leap2025 · leap.new · ▲112We just launched Leap, an AI developer agent that helps you build and deploy apps with real backends to your own AWS or GCP cloud. We built it because every AI app builder we tried fell short. They were fine for prototypes, but not for real systems. No support for proper backend infra, no isolated test environments, and sometimes shockingly no way to own your code. We build Leap to be more appropriate for developers: - Connect GitHub to put your code in a repo you control - Work with code generation using pull request–style revisions with diffs - Get Architecture diagrams and API docs for…
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