AI Native Platform

The cloud for
AI agents.

Define agents, harnesses, and logic in config. Ship with one command. Run indefinitely in the cloud. One API. Any model. Spawn one, or thousands.

· designed to work with

Claude Code
Codex
Cursor
Windsurf
Cline
Kiro
GitHub Copilot
Roo Code
Qoder
Claude Code
Codex
Cursor
Windsurf
Cline
Kiro
GitHub Copilot
Roo Code
Qoder

· the problem

Your agent is not the hard part. The runtime around it is.

The moment an agent does real work, your team inherits sandboxes, streaming, memory, queues, retries, tools, routing, and observability. Build that first, and you are shipping infrastructure instead of product.

build it yourself
weeks
even with coding agents

Runtime plumbing, integration loops, and millions of tokens before the agent is production-safe.

with polpo
<1h

Define the agent harness and focus on its functional logic, not on the runtime around it.

workbuildpolpo
sandbox lifecycle16-32h0h
streaming sessions12-24h0h
task queue + retries20-40h0h
memory + context12-24h0h
model routing + auth20-40h0h
agent logic8-24h<1h

· meet polpo

The AI-native platform that handles the hard parts.

A composable agent harness plus AI Gateway, giving your agents the runtime, tools, sandboxes, model routing, and feedback loops they need.

01 / Agent Harness
MEMORYCONTEXTSKILLSagent memory loadedshared volumesSKILL.mdskill loaded

Composable agents

Define what your agent knows, does, and can access. Model, tools, skills, and system prompt, all in a single portable config.

02 / Sandboxes
agent-1agent-2agent-3sandbox-01sandbox-02

Built-in sandbox integration

Agents run in isolated sandboxes to access shell, filesystem, browser, and network. Provisioned for you, not by you.

03 / Chat
POST/v1/chat/completionsreadystreaming...data: {"delta":"Hello, I"}data: {"delta":" can"}data: {"delta":" help"}data: {"delta":" you."}data: [DONE]← 200 OK

Chat with any model

Streaming OpenAI-compatible chat endpoint. Tools, vision, structured outputs across every provider.

04 / Task Engine
task-1task-2task-3

Long-running work, not scripts

Dispatch tasks with dependencies, checkpoints, retries, and multi-step execution for production agents.

05 / Scheduling
RUNNING02:34:12SCHEDULE0 */6 * * *00:00 — completed06:00 — completed12:00 — running18:00 — pending

Agents on your clock

Agents run for minutes or hours. Trigger them on demand, from webhooks, or on schedule.

06 / Evaluation
12345coherenceconsistencyfluencyrelevance4.53.84.24.04.1OVERALL

Keep outputs accountable

Judge outputs, retry failures, and keep production agents accountable.

· how it works

Agent config becomes a production API.

Keep the agent definition close to your code. Polpo turns it into a production API your app can call from anywhere.

01

Define the agent

Model, prompt, tools, and skills live in a small config your team can review and version.

json
{
"name": "coder",
"model": "openai/gpt-5.5",
"systemPrompt": "You are...",
"tools": ["bash", "read", "..."],
"skills": ["testing", "..."],
// rest of the agent config
}
02

Deploy the runtime

Polpo provisions the hosted runtime, sandboxes, memory, and endpoint behind the agent.

shell
$ polpo deploy
✓ agents 3
✓ skills 4
✓ memory mounted
✓ endpoint /v1
live in 4.2s
03

Call it from your app

Use one OpenAI-compatible API for chat sessions, tasks, and agent work.

typescript
await fetch("/v1/chat/completions", {
method: "POST",
body: JSON.stringify({
agent: "coder",
stream: true,
messages: [...]
}),
});

· how it fits

Add agents to your stack with one API.

Keep your product as it is: call Polpo from your app, backend, or workflow. We run the agent sessions, scheduled work, sandboxes, and model routing behind it.

Apps, CLIs & workflows
POST
/v1/chat/completions
Polpo
01
chat
agent session
streaming now
02
12
scheduled task
next in 4m
03
8
queued work
3 retries
running agents3 live
social-monitorsandboxtask
reply-draftersandboxtask
escalatorchat
I found the order.
Checking payment status...
The refund was already issued.
scheduled tasksnext 4m
billing-sync
every 15m
inbox-triage
09:00 daily
eventslive
tool.check_order · ok
memory.write · +512 tokens
sandbox.spawn · ephemeral
AI Gateway
routing
anthropic
opus-4.7
180tok/s
throughput
42ms
latency
99.9%
uptime
available
anthropic
openai
xai
google
mistral
deepseek
meta
works with any framework
Next.js
React
Vue
Svelte
Nuxt
Angular
React Native
Flutter
TypeScript
Python
Node.js
Go
Rust
Swift
Kotlin

· coding agents in action

From prompt to production.

In seconds, any coding agent can generate the full harness: agents, tools, skills, memory, deploy wiring, and instantly get a live API.

~/dev/acme-app — zsh

Use cases

What teams build on 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

Portable agents

Spin up disposable agents for batch jobs, evaluations, or as extensions of your own coding agent. CLI or API, no infra to babysit.

Batch jobs · Evaluations · Coding-agent extensions

· faqs

Questions, answered.

The short version. For deeper answers, the docs are exhaustive.

read the docs

Polpo is the agent layer for your app. It runs conversational and long-running agents in isolated sandboxes, gives them persistent memory, tools, skills, and vault, and exposes a unified chat API so your app can call them over HTTP.

· start building

Stop managing infrastructure.
Start shipping agents.

Free tier included
No credit card
First agent live in under a minute
Get started