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➰ Runloop Examples

This repository contains examples and demos for Runloop, the platform for building AI-powered software engineering agents.

Please refer to the Runloop documentation site for more information on these demos.

Table of Contents

  • ➰ Runloop Examples
    • Examples
      • Getting Started
      • Devbox Primitives
      • Axons & Broker
      • Add-ons
      • Browser Integrations
      • LLM & Framework integrations
      • Transition comparisons

Examples

Getting Started

These examples show you how to use core Runloop features to build and run an agent.

Example Description Python TypeScript
Simple Coding Agent Basic agent that can write and modify code coding-agent/python/ coding-agent/typescript/
Blueprints Pre-built agent templates and patterns blueprints/python/ blueprints/typescript/
Code Mounts Mount and work with external codebases code-mounts/python/ code-mounts/typescript/
Snapshots Save and restore agent state snapshots/python/ snapshots/typescript/

Devbox Primitives

Self-contained examples for working with individual Devbox capabilities. Compose these to build custom agent workflows.

Example Description Location
Start / Stop Create, boot, and shut down a Devbox devboxes/start-stop/
Command Execution Run shell commands inside a Devbox devboxes/command-execution/
Read / Write Files Read and write files on a Devbox filesystem devboxes/read-write-files/
Web Tunnel Expose a Devbox service via a public tunnel devboxes/web-tunnel/

Axons & Broker

Runnable examples demonstrating Axons, Runloop's distributed event store, and Broker, the interchange layer between on-box agents and Axons.

Example Description Python TypeScript
ACP Protocol Agent Client Protocol integration: installs Opencode, starts a session, and prompts the default bigpickle model axon-broker-agents/axon_acp_docs.py axon-broker-agents/axon_acp_docs.ts
Claude JSON Protocol Claude JSON protocol integration with Runloop Axons axon-broker-agents/axon_claude_docs.py axon-broker-agents/axon_claude_docs.ts

Add-ons

These examples show you how to use add-ons which extend the core Runloop platform.

Example Description Location
Computer Control Interact with the local computer system runloop-demo-computer/
OpenClaw Securely run OpenClaw inside Runloop Devboxes, including a parallel-execution example openclaw/

Browser Integrations

Drive third-party cloud browser providers from Runloop devboxes. The agent runs in a devbox; the browser runs on the provider, so no Chromium runs in the devbox.

Provider Description Python TypeScript
Kernel Kernel cloud browsers driven server-side via Playwright Execute browser-integrations/kernel/python/ browser-integrations/kernel/typescript/

LLM & Framework integrations

These examples show integrations with various LLM providers and frameworks.

Provider/Framework Description Python TypeScript
Anthropic Claude API integration llm-integrations/anthropic/python/ llm-integrations/anthropic/typescript/
CrewAI Multi-agent orchestration framework llm-integrations/crewai/python/ -
Gemini Google's Gemini API integration llm-integrations/gemini/python/ llm-integrations/gemini/typescript/
LangChain LangChain framework integration llm-integrations/langchain/python/ llm-integrations/langchain/typescript/
LlamaIndex LlamaIndex framework integration llm-integrations/llamaindex/python/ llm-integrations/llamaindex/typescript/
Mistral Mistral AI API integration llm-integrations/mistral/python/ llm-integrations/mistral/typescript/
OpenAI OpenAI API integration llm-integrations/openai/python/ llm-integrations/openai/typescript/
Vercel AI Vercel AI SDK integration - llm-integrations/vercelai/typescript/

Transition comparisons

  • Runloop to Freestyle: compare SDK commands, files, pause/resume, firewall rules, and snapshot restoration.

  • Runloop to Modal: compare command execution and UTF-8 file round trips through both Python SDKs.

  • Reflex to OpenAI Agents API: managed sessions, personas, MCP connections, GitHub authentication, and continuing work.

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Examples and cookbooks for building AI software engineering agents with Runloop

docs.runloop.ai/

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