Quickstart

Ten minutes to your first publishable draft.

GoTo Agents is a local Python + FastAPI app. You need Python 3.10+ and an API key for at least one model provider (Anthropic, OpenAI, or Gemini). One key is enough for everything on this page.

Install and start

git clone https://github.com/staceyfarias/goto-agents.git
cd goto-agents
pip install -r requirements.txt
python start.py

Open http://localhost:8000/app in your browser — the app binds to localhost only. Add your provider key under Settings → LLM Configs. A GETTING_STARTED.md with this same walkthrough is seeded into your instance directory.

Import the demo: Pulse Studio

Menu → Import Workspace → choose examples/pulse-studio.zip from the install directory. You get a three-agent content studio: Zita researches, Quill writes, Portia edits. Open a chat with Zita and run the loop on a topic you actually care about:

  1. Scan current trends in <your topic> and suggest 3 directions for a LinkedIn post.
  2. Deep dive on direction 2 and build a content pack.
  3. Switch to Quill: Draft a LinkedIn post from Zita's content pack. Goals: practitioners, conversational, ~300 words.
  4. Switch to Portia: Review the draft against my goals and the research.

Loop Quill ↔ Portia until Portia says ready — the output is a real post. The workspace's documents/demo-script.md is the guided tour, including the show-off moves: inter-agent consultation, @-mentioning the style guide, memory that survives sessions, and the rendered-prompt view where you can read the exact system prompt any agent gets.

Where to next

That was the tour. When you're ready to build a workspace for your work — by hand, or with a Bootstrap Agent that designs it with you — head to Getting Started. For the mental model behind what you just saw, read the core concepts.