Polyphony
Multi-agent orchestration with container-isolated workspaces — each agent session runs in its own Docker container with independent git branches
MCP get_skill({ skillId: "polyphony-multi-agent-orchestration-17977435" })Use this skill with your agent
Create a free account and connect via MCP
# Polyphony — Multi-Agent Orchestration
Container-isolated workspaces for parallel agent execution. Each agent gets its own Docker container with a full git clone on its own branch. No conflicts, independent tests, clean PRs.
---
## Architecture (6 Layers)
1. **Work Source** — Tasks from GitHub Issues (`gh api`) or local SQLite queue
2. **Orchestrator** — Supervisor loop: discover -> claim -> route -> provision -> run -> verify -> land
3. **Router** — Pure function: Task x Policy -> RunSpec (5-dimension complexity scoring)
4. **Identity Broker** — Resolves named credentials to volume mounts + env overlays
5. **Workspace Manager** — Per-task `git clone --reference`, branch checkout, cleanup
6. **Worker Runtime** — Docker container create/start/stop/logs lifecycle
---
## Task Lifecycle
```
DISCOVERED -> CLAIMED -> ROUTED -> PROVISIONED -> RUNNING -> VERIFYING -> LANDED
| |
v v
FAILED --> BLOCKED
|
v
CLAIMED (retry)
```
---
## Prerequisites
- Docker or OrbStack installed and running
- At least one agent CLI available (Claude, Codex, or Kimi)
- CLI subscriptions configured (not API keys)
Check:
```bash
command -v docker &>/dev/null || command -v orbctl &>/dev/null
```
---
## Configuration
All config lives in `~/.polyphony/`:
| File | Purpose |
|------|---------|
| `config.yaml` | Workspace root, poll interval, max concurrency |
| `identities.yaml` | Named credential bundles with volume paths |
| `agents.yaml` | Agent profiles (CLI commands, strengths) |
| `routing.yaml` | Routing rules and fallback chains |
Initialize with: `polyphony init`
---
## Routing Rules
Rules are evaluated top-down; first match wins. Each rule has a `match` predicate and an `agent` target.
```yaml
rules:
- match: { task_type: docs, risk: low }
agent: kimi
- match: { task_type: bugfix }
agent: codex
- match: { risk: high }
agent: claude
default:
agent: claude
fallback: [codex, kimi]
```
---
## Complexity Scoring (5 Dimensions)
Each dimension scores 0-2. Total 0-10.
| Dimension | Source |
|-----------|--------|
| Cyclomatic depth | LOC + scope size |
| Fan-out | Number of callers |
| Security boundary | Auth/PII keywords |
| Concurrency | Lock/transaction keywords |
| Domain invariants | Risk level + task type |
Routing thresholds:
- **0-3**: Delegate to Kimi solo
- **4-6**: Kimi + Codex review
- **7-10**: Claude direct
---
## Container Isolation
Each task gets:
- Its own Docker container from `polyphony-worker:latest`
- A full git clone at `/workspace` (not a worktree)
- Auth volumes mounted read-only (e.g., `~/.claude:/home/worker/.claude:ro`)
- Independent test execution
- Its own branch for PRs
---
## CLI Commands
```bash
polyphony init # Create ~/.polyphony/ with config templates
polyphony spawn "Fix auth bug" # Create and route a task
polyphony status # Show task states
polyphony cleanup # Remove completed workspaces
```
---
## Integration with Existing Skills
- **cross-agent-delegation**: Uses Polyphony's complexity scoring for routing decisions
- **agent-teams**: Uses Polyphony's workspace isolation instead of shared directories
- **spawn-team**: Uses Polyphony's container provisioning for feature agentsRelated Skills
More skills in Agent Orchestration
1. Product type search — what design patterns fit this product?
Design UI/UX systems with style guides, palettes, typography, and component specs for new interfaces
Acp Router
Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation. Codex chat binding defaults to the native Codex app-server plugin unless ACP is explicit or background spawn needs ACP.
Add New Safe Output Type
Adding a New Safe Output Type to GitHub Agentic Workflows
Agent Governance
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
Agentic Development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Agentic Workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Explore Other Categories
Skills from other categories with shared topics
AWS Aurora
AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling
AWS Dynamodb
AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python
Azure Cosmosdb
Azure Cosmos DB partition keys, consistency levels, change feed, SDK patterns