polpo

Installation
SKILL.md

Polpo

Open composable backend for agents with integrated sandbox runtime, tasks and workflows, and AI Gateway. Agents are defined as config, deployed to isolated sandboxes, and called via an OpenAI-compatible API.

Never guess about Polpo internals — use this skill and reference files. When this skill doesn't cover something, follow the lookup chain at the bottom.

Project Filesystem

Every Polpo project lives in a .polpo/ directory. Three separate config files:

.polpo/
├── polpo.json              # Project link config (name, slug, projectId)
├── agents.json             # Agent definitions (array of wrapped configs)
├── teams.json              # Team definitions (array of {name, description})
├── memory.md               # Project-level shared memory (all agents read this)
├── memory/                 # Per-agent memory files
│   └── <agent-name>.md
├── skills/                 # Project-local skill packs
│   └── my-skill/
│       └── SKILL.md
├── playbooks/              # Reusable mission templates (YAML)
├── missions/               # Mission definitions
└── .env.local.example      # Env template (POLPO_API_KEY, POLPO_API_URL)

polpo.json — Project link

Created by polpo create or polpo link. Links the local folder to a cloud project:

{
  "project": "My Project",
  "projectSlug": "k7m2xpg9tn4bqw8e1jrf",
  "projectId": "3d606bce-73a4-49a2-9e6e-72883ecacaa5"
}

agents.json — Agent definitions

Array of wrapped agent configs. Each entry pairs an agent with a team:

[
  {
    "agent": {
      "name": "coder",
      "role": "Senior Engineer",
      "model": "xai/grok-4-fast",
      "systemPrompt": "You are a senior engineer. Write clean, tested code.",
      "allowedTools": ["bash", "read", "write", "edit", "glob", "grep"],
      "reasoning": "medium"
    },
    "teamName": "default"
  }
]

For the complete AgentConfig field reference, read references/agent-config.md.

teams.json — Team definitions

[
  { "name": "default", "description": "Default team" }
]

Core Concepts

Concept What it is
Agent AI entity with model, tools, prompt, identity. Defined in agents.json.
Team Named group of agents. Defined in teams.json.
Task Unit of work assigned to an agent. Status lifecycle, expectations, retry policy.
Mission Multi-task workflow. Can be scheduled (cron), has checkpoints and quality gates.
Memory Persistent text context. Project-level (memory.md) or agent-level (memory/<name>.md). Auto-injected into system prompt.
Vault Encrypted per-agent credential store. Agents access via vault_get tool.
Skill A SKILL.md file teaching an agent domain knowledge. Injected into system prompt.
Tool A capability an agent can invoke. Must be whitelisted in allowedTools.

Model Selection

Format: provider/model-name.

Use Case Model Why
Fast coding xai/grok-4-fast Fast, strong tool use
Complex reasoning anthropic/claude-sonnet-4 Best reasoning
Budget tasks xai/grok-3-mini-fast Cheap, fast
Vision/multimodal openai/gpt-4o Strong multimodal

Tools

58 tools across 10 categories. Agents have NO tools by default — each must be explicitly listed in allowedTools. Use glob patterns for categories: "browser_*", "email_*".

Coding: bash, read, write, edit, glob, grep Files/HTTP: ls, http_fetch, http_download, register_outcome Documents: pdf_* (4), excel_* (4), docx_* (2) Communication: email_* (8), phone_* (7) Browser: browser_* (17 — full Playwright automation) Media: image_generate, image_analyze, video_generate, audio_transcribe, audio_speak Search: search_web, search_find_similar Agent systems: vault_get, vault_list, memory_* (4)

For the complete tool catalog with descriptions, read references/tools.md.

System Prompt

Keep it focused — Claude is already smart.

You are {name}, a {role}.
{Core instructions — what to do, how to approach it}
{Constraints — what NOT to do}
{Output format if relevant}

CLI Commands

Command What it does
polpo login Authenticate (device-code browser flow)
polpo logout Sign out
polpo create Interactive wizard: create project + scaffold .polpo/
polpo link --project-id <uuid> Bind current directory to existing project
polpo deploy Push .polpo/ to the cloud
polpo install --client <agents> Install Polpo skills for coding agents (auth + skills)
polpo status Deployment status
polpo logs Cloud execution logs
polpo models List available models
polpo byok Bring-your-own-key for LLM providers
polpo projects List/manage projects
polpo orgs Organization management
polpo whoami Show authenticated user
polpo update Self-update CLI

Deployment Flow

  1. Edit .polpo/agents.json (agent definitions)
  2. Edit .polpo/teams.json (team structure)
  3. polpo deploy → validates + pushes to cloud
  4. Cloud provisions isolated sandbox + per-project database
  5. Call agents via POST {slug}.polpo.cloud/v1/chat/completions
# One-time setup
polpo login
polpo link --project-id <uuid>

# Edit → deploy cycle
vim .polpo/agents.json
polpo deploy

Calling Agents

API is OpenAI-compatible. Two modes:

Agent-direct (specify which agent):

curl https://{slug}.polpo.cloud/v1/chat/completions \
  -H "Authorization: Bearer $POLPO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "model": "polpo", "agent": "coder", "stream": true,
        "messages": [{"role":"user","content":"Hello"}] }'

Orchestrator (let Polpo route to the right agent): omit the "agent" field.

Detailed References

Read only when you need depth on a specific topic:

Information Lookup Chain

When this skill doesn't answer:

  1. Search the source code first — grep/read in the Polpo OSS repo. Core types: packages/core/src/types.ts. Tools: packages/tools/src/. Routes: packages/server/src/routes/. CLI: packages/cli/src/commands/.
  2. Check docs.polpo.sh only if source doesn't answer — crawl structure first (/docs/, /api-reference/), then follow relevant links.
  3. Never guess about Polpo internals. If unsure, say so.
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