Deputy is an agent management conversational tool that enables users to delegate and manage AI agent tasks through intuitive room-based chat interfaces. The system orchestrates containerized agents using MCP (Model Context Protocol) tooling and provides persistent conversation management with RAG workflows through room-based architecture.
- Core Objective: Create a production-ready agent orchestration platform with room-based conversation management
- User Experience: Provide seamless room-based task delegation with real-time feedback and progress tracking
- Technical Excellence: Build a scalable, containerized architecture supporting both development and production workflows
- Integration Focus: Deep integration with boundcorp/django-ergo for room persistence and RAG capabilities
- JWT authentication system with secure token management
- django-ninja API framework implementation
- Enhanced testing infrastructure with pytest
- Caddy ingress proxy for unified development access
- Custom User model with invitation system
- Base models with UUID primary keys
- Room-based chat system architecture
- InquiryTriageWorkflow for intelligent room routing
- Message model with agent wake triggers
- django-ergo integration research
Transform the chat system into a room-based architecture where users can manage multiple conversation contexts with different agents and workflows.
- Room Model Implementation: Core room structure with participants, topics, and lifecycle management
- Inquiry Triage System: Intelligent routing of new inquiries to existing or new rooms
- Message Infrastructure: Support for user messages, agent responses, and wake triggers
- API Endpoints: RESTful APIs for room management and messaging
- django-ergo Integration: Map ergo's conversation model to our room architecture
- JWT authentication and user management
- django-ninja API framework setup
- Room model with slug-based identification
- InquiryTriageWorkflow with structured outputs
- begin-new-inquiry endpoint for room routing
- send-message and trigger_completion endpoints
- @mention detection for agent waking
- django-ergo room adapter implementation
- Room creation time < 1 second
- Message delivery < 100ms
- Inquiry routing accuracy > 85%
- Support for 100+ concurrent rooms
- Agent wake time < 2 seconds
Implement real-time communication within rooms using WebSockets and enhance multi-user collaboration features.
- WebSocket Integration: Django Channels for real-time messaging
- Typing Indicators: Show when users/agents are typing
- Participant Management: Add/remove participants with permissions
- Room Search: Full-text search and filtering capabilities
- Room Templates: Pre-configured rooms for common workflows
- Django Channels WebSocket implementation
- Real-time message broadcast to room participants
- Typing indicators and presence tracking
- Participant permission system (viewer, contributor, admin)
- Room search with Elasticsearch/PostgreSQL full-text
- Room template system with inheritance
- Room archival and restoration
- WebSocket latency < 50ms
- Support for 50+ participants per room
- Search response time < 200ms
- Template creation/usage rate > 30%
- Real-time sync accuracy = 100%
Integrate containerized agents with rooms using MCP protocol for tool execution and communication.
- Agent Container Architecture: Docker/Kubernetes agent spawning for rooms
- MCP Protocol: Model Context Protocol for agent-room communication
- Agent Assignment: Dynamic agent assignment to rooms based on capabilities
- Tool Registration: MCP tool discovery and registration system
- Agent Lifecycle: Complete lifecycle management within room context
- Agent container spawning service
- MCP message routing to rooms
- Agent capability registry
- Tool execution within room context
- Agent health monitoring per room
- Container resource limits per room
- Agent handoff between rooms
- Agent spawn time < 5 seconds
- MCP message processing < 100ms
- Tool execution success rate > 95%
- Support for 10+ agents per room
- Container resource efficiency > 80%
Complete the migration to Vite+React and build a comprehensive room-based UI with rich interaction features.
- Vite+React Migration: Complete frontend modernization
- Room Chat UI: Full-featured chat interface with markdown and code support
- Room Management: Creation wizard, settings, and participant management
- Rich Messaging: Code highlighting, file previews, agent responses
- Mobile Responsive: Fully responsive room interface
- Vite+React+TypeScript setup complete
- Room list with search and filters
- Chat message components with rich formatting
- File upload and preview system
- Room creation and configuration wizard
- Agent status and control panel
- Responsive design for mobile/tablet
- Frontend build time < 10 seconds
- First contentful paint < 1 second
- UI responsiveness < 100ms
- Mobile usage rate > 30%
- User satisfaction score > 4.5/5
Implement sophisticated workflow management within rooms including hierarchical structures and automation.
- Hierarchical Rooms: Parent-child room relationships for complex workflows
- Workflow Automation: Scheduled and trigger-based agent activation
- Cross-Room Coordination: Agent coordination across multiple rooms
- Room Analytics: Comprehensive metrics and insights per room
- Workflow Templates: Shareable workflow configurations
- Parent-child room relationships
- Room inheritance for settings/participants
- Scheduled room actions (cron-like)
- Event-driven workflow triggers
- Cross-room agent messaging
- Room analytics dashboard
- Workflow template marketplace prep
- Support for 5-level room hierarchies
- Workflow automation accuracy > 95%
- Cross-room message latency < 200ms
- Analytics query time < 500ms
- Template reuse rate > 40%
Create an ecosystem for agent discovery, development, and distribution through a marketplace and SDK.
- Agent Marketplace: Browse, install, and rate agents
- Developer SDK: Tools for custom agent development
- Agent Specialization: Domain-specific agent capabilities
- Revenue Sharing: Monetization for agent developers
- Quality Assurance: Testing and certification framework
- Agent registry and discovery API
- Agent installation and versioning system
- Python/TypeScript SDK for agent development
- Agent testing and certification pipeline
- Rating and review system
- Revenue sharing infrastructure
- Agent performance benchmarking
- 50+ agents in marketplace
- SDK adoption by 20+ developers
- Average agent rating > 4.0/5
- Agent installation success rate > 98%
- Developer satisfaction > 4.5/5
Scale the platform for enterprise adoption with advanced security, compliance, and management features.
- Organization Management: Multi-tenant architecture with isolation
- Enterprise SSO: SAML, OIDC, and LDAP integration
- Compliance Features: Audit logging, data retention, GDPR/HIPAA
- Advanced Permissions: Fine-grained access control for rooms
- SLA Guarantees: Enterprise-grade reliability and support
- Multi-tenant data isolation
- SSO integration (Okta, Auth0, Azure AD)
- Comprehensive audit logging system
- Data encryption at rest and in transit
- Role-based access control (RBAC)
- Backup and disaster recovery
- Enterprise API with higher limits
- 99.99% uptime SLA
- Enterprise customer acquisition: 10+
- Compliance certification achieved
- Zero security breaches
- Support response time < 1 hour
Implement cutting-edge AI features for intelligent room management and agent coordination.
- AI Room Routing: ML-based inquiry classification and routing
- Predictive Agent Selection: Automatic agent assignment based on context
- Smart Summarization: Automatic room summary generation
- Sentiment Analysis: Track conversation tone and satisfaction
- Proactive Suggestions: AI-powered workflow recommendations
- ML model for inquiry classification
- Agent capability matching algorithm
- LLM-powered summarization service
- Sentiment analysis integration
- Recommendation engine for workflows
- A/B testing framework for AI features
- Continuous learning from user feedback
- Routing accuracy > 90%
- Agent selection satisfaction > 85%
- Summary quality score > 4.0/5
- Sentiment detection accuracy > 80%
- Recommendation acceptance rate > 30%
- Multi-Region Deployment: Deploy in 5+ global regions
- Localization: Support for 10+ languages
- Cultural Adaptation: Region-specific agent behaviors
- Global Marketplace: International agent ecosystem
- IDE Plugins: VSCode, JetBrains, Sublime extensions
- CI/CD Integration: GitHub Actions, GitLab CI, Jenkins
- Cloud Platform Integration: AWS, GCP, Azure native services
- Communication Platforms: Slack, Teams, Discord bridges
- Multi-Agent Systems: Advanced coordination protocols
- Autonomous Agents: Self-directed task completion
- Federated Learning: Privacy-preserving agent improvement
- Quantum-Ready: Preparation for quantum computing integration
- Healthcare: HIPAA-compliant medical agent workflows
- Finance: SEC-compliant financial analysis agents
- Education: Curriculum-aligned tutoring agents
- Legal: Contract analysis and legal research agents
| Risk | Impact | Mitigation |
|---|---|---|
| Room scalability issues | High | Implement sharding and caching early |
| Agent container security | Critical | Regular security audits, sandboxing |
| MCP protocol changes | Medium | Abstract protocol layer, version management |
| WebSocket reliability | Medium | Fallback to polling, reconnection logic |
| Risk | Impact | Mitigation |
|---|---|---|
| Slow user adoption | High | Free tier, extensive documentation |
| Competition from giants | High | Focus on specialization, open-source community |
| Agent quality variance | Medium | Certification program, user reviews |
| Enterprise sales cycle | Medium | Pilot programs, case studies |
| Risk | Impact | Mitigation |
|---|---|---|
| Infrastructure costs | High | Usage-based pricing, resource optimization |
| Support burden | Medium | Self-service docs, community forum |
| Talent acquisition | Medium | Remote-first, competitive compensation |
| Technical debt | Low | Regular refactoring sprints |
- Growth: MAU, WAU, DAU trends
- Engagement: Messages per room, session duration
- Retention: 7-day, 30-day retention rates
- Satisfaction: NPS score, support tickets
- Performance: API latency, room creation time
- Reliability: Uptime, error rates, recovery time
- Scalability: Concurrent rooms, messages/second
- Efficiency: Resource utilization, cost per room
- Revenue: MRR, ARR, ARPU
- Conversion: Free to paid, trial to subscription
- Market: Market share, competitive position
- Partnership: Integration adoption, developer ecosystem
- Feature Velocity: Features shipped per sprint
- Quality: Bug escape rate, test coverage
- Research: Papers published, patents filed
- Community: GitHub stars, contributor count
- Room architecture complete
- Real-time messaging operational
- Initial agent integration
- Agent marketplace launch
- Enterprise features beta
- 1000+ active users
- Multi-region deployment
- AI enhancements live
- 10,000+ active users
- Industry specializations
- Global expansion
- 100,000+ active users
- Domain-Driven: Clear bounded contexts (Rooms, Agents, Workflows)
- Event-Sourced: Complete audit trail of room events
- API-First: All features accessible via API
- Cloud-Native: Containerized, stateless, scalable
- Test-Driven: Write tests first, maintain > 90% coverage
- Security-First: Threat modeling for all features
- Performance-Conscious: Profile and optimize continuously
- Documentation-Rich: Comprehensive docs for all APIs
- User-Centric: Regular user research and feedback
- Data-Driven: A/B testing and analytics-based decisions
- Iterative: Ship small, learn fast, improve continuously
- Accessible: WCAG compliance, inclusive design
- Product Owner: Define vision and priorities
- Tech Lead: Architecture and technical decisions
- Design Lead: User experience and interface
- Customer Success: User feedback and support
- Weekly: Sprint planning and review
- Monthly: Metrics review and adjustment
- Quarterly: Strategic alignment and planning
- Annually: Vision and roadmap refresh
- Internal: Slack, Confluence, Jira
- External: Blog, documentation, changelog
- Community: GitHub, Discord, forum
- Enterprise: Dedicated account management