CAMELRUN · OPEN SOURCE · AGPL

Cloud hosting for AI agents

Define an agent's model, instructions, tools, and channels. camelRun runs the agent loop, keeps its history, and wakes it when there is work.

Get an API key Read the quickstart
agent.ts
import { Agents } from "@camelai/run";

const agents = new Agents(); // CAMELAI_API_KEY
const agent = await agents.upsert("support-triage", { model: "anthropic/claude-sonnet-5-5", instructions: "Be concise." });
console.log((await agent.run("Which tickets look urgent?")).text);
await agents.close();

What it is

Deploy AI agents without managing infrastructure

Most teams putting an AI agent in their product build the agent loop and the hosting themselves. camelRun is the off-the-shelf version, the way teams use Postgres instead of writing their own database.

Read why we built it
You define
Model
anthropic/claude-sonnet-5-5
Instructions
"Be concise."
Tools
weather
Channels
slack
camelRun runs
  • The agent
    loop
  • History and compaction
  • Code sandbox
  • Wake-ups and schedules
  • Scaling to thousands of agents

Scale

Run thousands of AI agents at once

Give every customer, ticket, or pull request its own agent, and scale up without talking to sales.

Durability

AI agents that survive deploys and crashes

An agent's history, files, and pending work live in camelRun, not in your app. When a server goes away, another one picks up where it left off.

Tools

Connect your tools with OpenAPI, MCP, or your own code

camelRun makes every tool call, so the model never sees your credentials. If your app stops answering, the call fails and the agent keeps working.

OpenAPI spec

Every operation becomes a tool.

MCP server

Remote servers, including ones that need auth.

Your code

TypeScript or Python functions, no public endpoint.

Built-in tools

Web search, web fetch, schedules, and asking the user.

Channels

Put your agent in Slack, Discord, email, GitHub, or your own app

Connect a channel in the console and every thread, email, or pull request gets its own agent. Telegram and webhooks from services like Sentry, Linear, and Stripe work too.

One agent per thread.

alice: @agent Delete the preview environment pr-4312.

agent: Approve this action? delete_environment (application) with {"name":"pr-4312"} Reply approve or deny.

alice: approve

agent: Deleted pr-4312.

No lock-in

Use any model, bring your own keys, or host camelRun yourself

Switch an agent's model at any time and it keeps its history. camelRun is open source under the AGPL. Self-hosting takes one Docker container and Postgres.

View source on GitHub
  • Anthropic, model id anthropic/claude-sonnet-5-5
  • OpenAI, model id openai/gpt-5.2
  • OpenRouter, model id openrouter/anthropic/claude-sonnet-5
  • Ollama, model id home-ollama/qwen3:32b
  • Amazon Bedrock, model id amazon-bedrock/global.anthropic.claude-sonnet-5-5
  • vLLM

Pricing

Pay only for the time your agents spend working

Idle and sleeping agents cost only storage.

$0.01 per agent-hour of active run time

$5
Free credit

For GitHub accounts older than 30 days

Get an API key
Storage
$0.10per GB-month
Model tokens
$0 on your keysList price on our keys, no markup
Web search
$0.001 to $0.007per search

FAQ

Questions about camelRun

Run your first AI agent in five minutes

Sign in with GitHub, create an API key, and run the quickstart.

Get an API key Read the quickstart 
npm install @camelai/run
export CAMELAI_API_KEY=art_...
npx tsx quickstart.ts
Node 22+ or Bun