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Clowder AI

Added May 7, 2026
Agent & Tooling
Open Source
TypeScriptNode.jsWorkflow AutomationDesktop AppsMulti-Agent SystemModel Context ProtocolAI AgentsAgent & ToolingModel & Inference FrameworkAutomation, Workflow & RPAProtocol, API & Integration

A multi-agent orchestration platform that organizes AI agents (Claude, GPT, Gemini, etc.) into collaborative teams with persistent identity, cross-model review, and shared memory, with out-of-the-box desktop deployment.

Core Positioning#

Clowder AI is a multi-agent orchestration platform built with Node.js/TypeScript using a pnpm workspace monorepo architecture. Under a three-layer separation design (Model, Agent CLI, Platform), the platform layer provides independent AI agents with collaborative capabilities.

Three-Layer Architecture#

LayerResponsibility
ModelReasoning, generation, understanding
Agent CLITool use, file operations, command execution
Platform (Clowder)Identity, collaboration, discipline, audit

Core Capabilities#

  • Multi-Agent Orchestration: Route tasks to appropriate agents—Claude for architecture, GPT for review, Gemini for design—in a single conversation
  • Persistent Identity: Each agent maintains role, persona, and memory across sessions and context compression
  • Cross-Model Review: Built-in cross-model review mechanism (e.g., Claude codes, GPT reviews)
  • A2A Communication: Asynchronous agent-to-agent messaging with @mention routing, thread isolation, and structured handoffs
  • Shared Memory: Evidence store, lessons learned, decision logs—persistent institutional knowledge
  • Skills Framework: On-demand prompt loading (TDD, debugging, review, etc.)
  • MCP Integration: Model Context Protocol for cross-agent tool sharing, non-Claude models via callback bridge
  • Collaborative Discipline: Automated SOPs: design gates, quality checks, vision guardianship, merge protocols

Notable Features#

  • CVO Mode: Human as Chief Vision Officer for vision expression, key decisions, culture shaping, and co-creation
  • Voice Companion: Hands-free voice mode with per-agent unique voice, ASR input and TTS playback
  • Signals: AI research feed aggregating RSS/blogs with priority grading, multi-agent collaborative reports and podcast generation
  • Game Modes: Play games (e.g., Werewolf) with AI teams
  • Mission Hub: Feature lifecycle management (idea → spec → in-progress → review → done), requirements audit, and SOP boards

Safety Constraints (Iron Laws)#

Four constraints enforced at both prompt and code levels:

  1. Never delete own database (memory must not be discarded)
  2. Never kill parent process (preserve own existence)
  3. Runtime configuration is read-only for agents (human modification required)
  4. Never touch other agents' ports (isolation principle)

Platform Core Modules#

  • Identity Manager — Persistent agent identity management
  • A2A Router & Threads — Asynchronous inter-agent message routing and thread isolation
  • Skills Framework & Manifest — On-demand skill loading framework
  • Memory & Evidence — Shared memory and evidence storage
  • SOP Guardian — Automated standard operating procedure guardianship
  • MCP Callback Bridge — Cross-model MCP tool sharing bridge

Supported Agent CLIs#

CLIModels
Claude CodeClaude Opus / Sonnet / Haiku
Codex CLIGPT / Codex
Gemini CLIGemini
AntigravityMulti-model
opencodeMulti-model

Interaction Methods#

  • @mention routing: @opus architecture, @codex review, @gemini design
  • Slash commands: /new (new thread), /threads (list), /use <id> (switch), /where (current location)

External Integrations#

ChannelStatus
Feishu (Lark)Supported
GitHub PR ReviewSupported (auto review routing)
TelegramIn progress

Supports third-party model providers including Kimi / GLM / MiniMax.

Deployment#

  • Windows: Download .exe installer (bundled portable Node.js and Redis, no manual dependencies)
  • macOS: Download .dmg, drag to Applications (right-click → Open to bypass Gatekeeper on first launch)
  • Linux: Use bash scripts/install.sh one-click installation
  • Source install: git clonepnpm installpnpm buildcp .env.example .envpnpm start

After launch, access http://localhost:3003, add model API keys in Hub → System Settings → Account Configuration.

Monorepo Structure#

clowder-ai/
├── packages/
│   ├── api/          # Backend API service
│   ├── mcp-server/   # MCP server
│   ├── shared/       # Shared types and utilities
│   └── web/          # Frontend Web UI
├── cat-cafe-skills/  # Skills framework
├── desktop/          # Desktop installers
├── docs/             # Documentation
├── guides/           # Guides
└── scripts/          # Ops and install scripts

Unconfirmed Information#

  • Independent website/online demo: Not found in repository, only local access after launch
  • Academic papers: None found
  • Hugging Face: No associated page found
  • Specific ASR/TTS providers for voice features not disclosed
  • Internal codename cat-cafe (package.json name field) vs public name clowder-ai: repository synced from internal codename

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