🐼 OpenPanda

The Open-Source, Local-First Multi-Agent Orchestration OS

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About

OpenPanda organizes terminal AI coding agents (Claude Code, OpenAI Codex, Grok Build, DeepSeek Harness, OpenCode, and more) together with your devices into a single execution crew. You issue one instruction; it handles intent classification, task decomposition, dispatch, execution supervision, and result verification — all locally, with zero cloud dependency.

┌─────────────────────────────────────────────────────────────┐
│ You: One Command │
│ (Terminal TUI / Web Console / CLI Script) │
└──────────────────────────────┬──────────────────────────────┘
│
┌────────────▼────────────┐
│ 🐼 OpenPanda OS │
│ Route, Orchestrate, │
│ Verify & Secure │
└────────────┬────────────┘
│ Direct P2P WebSocket (no cloud relay)
┌─────────────────────────┼─────────────────────────┐
│ │ │
┌────▼──────────────┐ ┌──────▼────────────┐ ┌────────▼────────────┐
│ MacBook (Worker) │ │ Linux Build Box │ │ Raspberry Pi / SBC │
│ - Claude Code │ │ - Codex / Docker │ │ - 24/7 Daemons │
└───────────────────┘ └───────────────────┘ └─────────────────────┘

The project evolves along two tracks:

Track	Description	Status
Multi-Agent orchestration	Hire and command multiple terminal agents: dispatch, supervision, failover, approval	✅ Current focus
Multi-device collaboration	Cross-node task routing and scheduling over a P2P mesh	🔶 Preview — not yet hardened; the theme of v0.0.10

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✨ Features

Agent Orchestration

• Intent classification & task decomposition — the engine distinguishes chat, management queries, and executable tasks; multi-stage work is first split into a plan with artifact wiring between stages.
• Supervision loop — the entry model continuously judges task completion and re-dispatches with the failure reason attached, until done or the round budget (5 rounds by default) is spent.
• Transparent failover — quota exhaustion or dead credentials (401/403) trigger automatic fallback-model injection; the task continues instead of dying halfway.
• Transparent execution — every Bash command, file edit, and tool call, along with the responsible agent and underlying model, streams live to your terminal and console.
• Tiered approval — reversible operations run autonomously; irreversible actions (git push, production database changes) suspend for explicit human confirmation.
• Circuit breakers — loop detection and retry breakers stop runaway agents from burning tokens.

Memory & Skills

• Dual-layer memory — user preferences (USER.md) and project facts (MEMORY.md) are strictly separated.
• Self-evolving skills — successful workflows are distilled into SKILL.md playbooks that accumulate over time.
• Traveling context — delegated tasks carry project memory and a workspace digest to the executing node.

Multi-Device Collaboration (Preview)

• Capability cards — each node auto-declares its hardware and tool profile (CPU, RAM, OS, available agents).
• P2P mesh — nodes communicate over authenticated, encrypted WebSocket; data never leaves your private network.
• Capability-based routing — the scheduler scores nodes and routes each task to the best match.

Interfaces & Runtime

• Terminal TUI (Bubble Tea): arrow-key navigation, live progress, mid-turn steering.
• Web console: zero-config kanban, real-time SSE streaming, automatic browser login.
• Scriptable CLI: panda ask drops straight into automation scripts.
• Featherweight: single static Go binary, ~20MB RSS, no external runtime dependencies.

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📦 Installation

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/Xustalis/OpenPanda/main/scripts/install.sh | sh

macOS (Homebrew):

brew tap Xustalis/openpanda
brew install openpanda

Windows (PowerShell):

irm https://raw.githubusercontent.com/Xustalis/OpenPanda/main/scripts/install.ps1 | iex

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🚀 Quick Start

Initialize your node (interactive setup for device name, model providers, and the local capability card):

panda init

Then pick an entry point:

panda # interactive terminal TUI
panda web # web console, opens browser automatically
panda ask "check system status and summarize tasks"# one-shot command

To connect a second device (preview capability): run panda pair on device A to get a pairing code, then panda nodes add <device-A-address> on device B.

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🛠️ CLI Cheat Sheet

Command	Description
panda	Launch the interactive terminal console
panda ask "<query>"	One-shot: direct answer, tool call, or task dispatch
panda web	Start the web console and open the browser automatically
panda nodes	List online devices and their capabilities
panda pair	Display a pairing code for a new node
panda queue	Inspect pending, running, and review tasks (--watch for live updates)
panda approve <id>	Approve a pending Tier-2 task
panda project list	Manage workspace projects and context
panda doctor	Diagnose PATH, config, adapters, and database health
panda version	Print the current version

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🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│ cmd/panda Interactive TUI · Web Console · CLI │
├─────────────────────────────────────────────────────────────┤
│ askengine Intent classification · management tools │
│ plan Multi-stage decomposition & artifact wiring │
│ commander 3-Tier execution: Native · Agent · Manual │
│ defense Tiered gating · circuit breakers · anti-loop │
│ memory Dual-layer memory (User/Project) + Skills │
├─────────────────────────────────────────────────────────────┤
│ scheduler Multi-device scoring & task routing │
│ bus / ledger P2P WebSocket transport · HMAC auth · ledger │
│ storage Pure Go SQLite (WAL mode) │
└─────────────────────────────────────────────────────────────┘

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🗺️ Roadmap

Version	Theme
v0.0.8 (current baseline)	Single-machine multi-agent orchestration, fully usable: intent classification, dispatch, supervision loop, failover, tiered approval
v0.0.9	Sharper agent control: supervision verdicts, agent routing stability, execution transparency
v0.0.10	Multi-device collaboration as the headline: cross-node delegation, lease protection, resumable execution — hardened and field-tested
v0.0.x (beyond)	Stability, performance, and edge-case tuning
v0.1.0	Desktop capabilities and stronger control & management — commercial-grade quality

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🔭 Vision

OpenPanda's architecture is designed for large-scale heterogeneous clusters: drone swarm control, communication scheduling for deep-space satellite constellations, and coordinated autonomous-vehicle fleets. These scenarios share one fundamental problem — every node has different compute, different capabilities, and different jobs, yet all need to be coordinated, scheduled, and supervised together.

Today, OpenPanda serves a developer's devices and agents. The long-term goal is to extend the same orchestration kernel to autonomous nodes at cluster scale.

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🤝 Contributing

1. Read CONTRIBUTING.md for code standards and workflow.
2. Check SECURITY.md for security guidelines.
3. Abide by the CODE_OF_CONDUCT.md.
4. Run make gate locally before submitting a PR.

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📄 License

MIT License