Ergon open-source AI agent building toolkit
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Ergon has open-sourced an AI agent building toolkit on GitHub, consisting of two parts: a Python SDK engine and a drag-and-drop visual Studio. Flows designed by users on the Studio canvas can be exported as directly runnable Python code. According to Ergon, the toolkit uses an Anthropic API key by default and also supports about 15 other providers; keys set in Studio take precedence over environment variables and never leave the server, and each agent can select the provider it uses via a dropdown menu. Ergon says the project is open source and built publicly, but the SDK and Studio use separate toolchains, and there is no single build that includes both.
AI overview based on source reports · Updated 16 hr ago
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- Hacker News AIShow HN: Ergon - build AI agents in code or on a canvas that generates Python
Ergon is a monorepo toolkit for building AI agent harnesses, combining a Python SDK engine with a drag-and-drop visual Studio that generates Python code against it. The SDK covers tool-calling loops, control flow, a unified router for roughly 15 providers, RAG, MCP clients, browser control, OpenTelemetry traces and an evaluation harness, while the Studio adds a canvas, inspector, live preview and codegen. A bootstrap script sets up both halves, and harnesses can be served as REST + SSE endpoints or deployed via Docker with Postgres/pgvector and Redis.
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