Friday Studio AI runtime: Turn prompts, skills, & tools into reliable config
Friday Studio is an AI agent orchestration platform that enables users to run autonomous agents triggered by HTTP, cron, or CLI signals. Agents operate within workspaces defined by a workspace.yml file, with support for local development using Deno, Go, Node.js, and Python. The platform includes tools for managing agent lifecycles, executing prompts, and integrating with LLM providers like Anthropic.
- ▪Friday Studio uses a daemon to manage workspace lifecycles and route signals to agent runtimes.
- ▪Local development requires Deno 2.7.0+, Go 1.26+, Node.js 24+, and uv 0.11+ for Python environment management.
- ▪The platform supports Docker-based deployment and includes example workspaces for use cases like code explanation and GitHub PR review.
- ▪Users must configure an LLM provider API key, such as ANTHROPIC_API_KEY, to run agents.
- ▪The setup-dev-env.sh script prepares the development environment by installing dependencies and configuring environment variables.
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Friday Studio AI agent orchestration platform. Workspaces run autonomous agents triggered by signals (HTTP, cron). The daemon manages workspace lifecycles — each workspace defines agents, signals, and jobs in a workspace.yml. Signals arrive (HTTP, CLI, cron), the daemon routes them to the workspace runtime, which spawns sessions where agents execute with MCP tool access. Quickstart Prerequisites Tool Version Why Deno 2.7.0+ Runs the daemon, CLI, and TypeScript packages Go 1.26+ Builds the Go services under tools/ (pty-server, webhook-tunnel, friday-launcher) Node.js 24+ Needed for npx, Vite, and the web playground uv 0.11+ Provisions the managed Python that user agents run under (auto-installed by setup-dev-env.sh if absent) git any recent — Docker (optional) any recent Alternative path:…
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