Built for the agentic era

Ship agents
to production
in seconds.

Serverless AI agents with built-in memory, tools, sandboxing, and orchestration. From one agent to thousands.

Start building Documentation

see how fast you can ship

terminal|agent session

The full stack for AI agents

Everything to run agents in production

Serverless Agents

Define once, run from any app

Your agents live in the cloud. Every app — mobile, web, CLI, backend — calls the same endpoint. No infra to manage.

OpenAI-compatible API

Sub 10 seconds to POST /v1/chat/completions.

Built-in agent memory

Persistent memory per agent. Context survives across sessions.

Built-in tools

Agents ship with 20+ tools out of the box.

Sandboxed execution

Each task runs in an isolated sandbox with real system access.

Long-running tasks

Agents can run for minutes or hours.

soon

Generative UI

Agents stream structured UI components back to your app.

Agent Teams

Multi-agent orchestration

Agents work together. The orchestrator dispatches tasks, manages dependencies, and coordinates across your entire team.

Orchestration engine

Automatic task dispatch, result collection, and coordination.

Task dependencies

Define execution order. Tasks wait for their dependencies.

Missions

Group tasks into missions with deterministic workflow.

Concurrent agents

Multiple agents execute in parallel across sandboxes.

Auto-scale

Sandbox pool scales automatically with load.

Scheduling

Trigger agents on a recurring schedule.

LLM as Judge

Automated quality assessment

Every task is assessed against your expectations. Multiple reviewers score the work, a judge arbitrates, and the agent retries with targeted feedback.

LLM Judge evaluation

Task results can be assessed by an LLM reviewer that scores quality automatically.

G-Eval scoring

Define custom rubrics and weighted dimensions. Scores from 1 to 5.

Fix & retry pipeline

Failed tasks are automatically retried with targeted feedback until they pass.

How it works

Three steps to production

Define your agents

Define agents in a single JSON file — role, model, tools, skills, identity. Version-controlled, portable.

json

{
  "name": "coder",
  "role": "Senior Engineer",
  "model": "anthropic:claude-sonnet-4-5",
  "systemPrompt": "You are a senior full-stack engineer...",
  "allowedTools": ["bash", "read", "write", "edit"],
  "skills": ["frontend-design", "testing"],
  "reasoning": "medium",
  "reportsTo": "reviewer",
  "maxConcurrency": 3,
  "identity": {
    "title": "Full-Stack Developer",
    "responsibilities": [
      {
        "area": "Backend API",
        "priority": "critical"
      }
    ]
  }
}

Deploy with CLI or API

One CLI command or one API call. Polpo provisions isolated infrastructure and gives you a live endpoint.

$ polpo deploy

  Scanning .polpo/polpo.json...
  Found 3 teams, 8 agents, 5 missions

  Provisioning infrastructure      1.2s
  Deploying agents                 2.1s
  Generating API key               0.1s

  Endpoint:  https://api.polpo.dev/v1
  API key:   sk_live_wcA0fQ_qKfc...MFpp
  Agents:    8 live
  Status:    ready

  Total: 3.4s

Call from anywhere

OpenAI-compatible API. Your mobile app, web app, CLI, backend — anything that speaks HTTP talks to your agents.

Coding agents

Your coding agent
already knows Polpo

Any coding agent that can run CLI commands or call APIs can create, configure, and deploy Polpo agents in seconds. One prompt. Done.

Claude CodeCodexCursorWindsurfClineAider

terminal

> Create a polpo agent for customer support and deploy it

Write(.polpo/agents.json)

+ agent: "support-bot"

+ model: "anthropic:claude-sonnet-4-5"

+ tools: ["read", "http_fetch", "email_send"]

Bash(polpo deploy)

Deploying agents... 3.4s

Your agent is live at

https://api.polpo.dev/v1 · agent: "support-bot"

Use cases

What people build with Polpo

App builders

Build AI-powered apps with agents as the backend. Ship features, not infrastructure.

like Lovable, Bolt, Replit Agent

AI employees

Agents with identity, memory, and skills that work as autonomous team members. 24/7, no burnout.

Zero-human companies, digital workforce

Voice agents

Plug voice agents into your call center or assistant. Real tools, real actions, real-time.

Support bots, sales assistants

Agent control panels

Build dashboards to manage your agents. Monitor runs, inspect logs, control execution — all via API.

Internal tools, admin panels

Autonomous workflows

Multi-agent missions that run on schedule. Triage tickets, generate reports, monitor systems.

DevOps, support, data pipelines

Integrate in your coding agent

Any coding agent can create and deploy Polpo agents via CLI or API in seconds. One command from your IDE.

Claude Code, Codex, Cursor, Windsurf

Pricing

Pay for what you use

Generous free tier. No subscriptions. No commitments. Set a spending limit and never get surprised.

Free tier

$0forever

No credit card. Start building right now.

500 task executions / month
2,000 completions / month
3 projects
Unlimited agents
BYOK (bring your own keys)
Community support

Start building

Beyond free

Pay as you go

Only pay for what you use beyond the free tier. Set a spending limit to stay in control.

Task execution

Agent runs a task in an isolated sandbox

$0.01

Completion

OpenAI-compatible chat API call

$0.001

Spending limits

Default $10/month cap. Notifications at 50%, 80%, 100%. Raise or lower anytime from the dashboard.

Running 10,000+ tasks/month? Contact us for volume pricing.

Stop managing infrastructure.
Start shipping agents.

Free tier included. No credit card. Deploy your first agent in under a minute.

Start building for free

npm install -g polpo-ai && polpo init && polpo deploy

Ship agentsto productionin seconds.