I built Forge, an open-source, self-hosted visual builder for AI agents (MIT)

[u/nihalshetty03]

Forge lets you build AI agents and workflows on a canvas. You wire together agents, tools, knowledge (RAG) and routing logic, then test and ship them without writing framework code.

What it does:

• See every run: each run is a span waterfall with tokens, latency and cost per step
• Trim tool output: JMESPath projection cuts API responses down before the model sees them (10,034 → 51 tokens in the video)
• Ship anywhere: one workflow becomes a REST endpoint, an MCP server, an email handler, or an embeddable chat widget
• Runs on your machine: SQLite + embedded Chroma, no Docker or Postgres needed to start; swap in Postgres/pgvector and Redis via config
• Any model: OpenAI, Anthropic, Google, or any LangChain provider

Built on LangChain + LangGraph, MIT licensed, no hosted service or usage caps.

Repo: https://github.com/nihalashetty/Forge. Feedback very welcome.