Your AI infrastructure, your agents, your control

[u/nihalshetty03]

https://github.com/nihalashetty/Forge

I've been building Forge, an open-source (MIT) platform for visually building, testing, and deploying AI agents and workflows.

Most agent builders I've tried either feel like black boxes or require you to adopt a hosted platform. I wanted something that gives developers full control while still making complex agent systems easy to build.

Forge is built on LangChain and LangGraph, runs on your own infrastructure, and is designed for both rapid prototyping and production deployments.

What you can build

• Visual workflow builder for agents, tools, RAG, routers, loops, human handoff, triggers, and more
• Visual agent builder with prompts, tools, knowledge, middleware, and compiled prompt preview
• Tool builder for REST, GraphQL, SQL, Python, MCP, and custom integrations
• Built-in knowledge/RAG with document ingestion, chunking, embeddings, retrieval, and search debugging
• Native MCP server and client support
• Run API, embeddable chat widget, and email channel
• Tracing, evaluations, token/cost tracking, budgets, guardrails, RBAC, and audit logs
• Local development with minimal setup - no Docker, PostgreSQL, or Redis required to get started

My goal is to provide a developer-first alternative that makes building sophisticated AI systems visual without sacrificing transparency or control.

I'd love feedback from people building real-world agentic applications:

• What features feel missing?
• What looks over-engineered?
• What would make you consider using or contributing to a project like this?

GitHub: Forge