MUXI Framework Roadmap

This document outlines the development roadmap for the MUXI Framework, including completed releases, current development status, and planned future enhancements. The roadmap is organized by version milestones and development phases.

Overview

The MUXI Framework is being developed in a phased approach, with each phase building upon the previous one to create a comprehensive framework for AI agent development. Our development philosophy emphasizes:

1. Solid Foundations: Building reliable core components before adding advanced features
2. API-First Design: Designing with API compatibility and extensibility in mind
3. Modular Architecture: Creating clean, loosely-coupled subsystems
4. Progressive Enhancement: Adding capabilities iteratively based on user feedback

Development Phases

Our overall development is structured into distinct phases:

Phase 1: Core Framework (v0.1.0 - v0.3.0) ✅

This phase established the foundational architecture and core components of the framework:

• Basic agent functionality with LLM integration
• Memory systems (buffer and long-term)
• MCP client integration for external tools
• Multi-agent support with orchestration
• Configuration system
• Basic CLI interface
• Basic REST API foundations

Phase 2: Advanced Features (v0.4.0) 🛠️

This phase focuses on enhancing the framework with advanced communication capabilities:

• Complete REST API implementation
• Complete WebSocket API implementation
• Enhanced CLI interface
• Web UI development
• Basic MCP server interface implementation
• Initial Agent-to-Agent (A2A) communication protocol
• Additional LLM providers
• Enhanced documentation
• Basic multi-modal support

Phase 3: Scaling & Monitoring (v0.5.0) 📅

This phase will prepare the framework for production deployment at scale:

• Advanced A2A communication with capability discovery
• Vector database optimizations and additional integrations
• Full MCP Server interface with streaming response support
• Comprehensive testing and documentation
• Deployment solutions and containerization
• Language-specific SDKs
• Full multi-modal support
• Performance monitoring and metrics

Memory System Enhancements

• Enhanced Context Memory: Add support for templates, improved merging, and namespaces.
• Automatic User Information Extraction: Implement the system for automatically extracting and storing important user information from conversations.
• Memory Optimization: Improve performance and reduce resource usage of vector operations.

Note: Based on performance benchmarks showing PostgreSQL with pgvector achieving 471.57 QPS and lower latency compared to alternatives, additional vector database integrations (Milvus, Qdrant, Weaviate) have been deprioritized. We’ll reconsider these integrations if community demand emerges.

…

Phase 10: Enterprise Ready (v1.0.0) 🔮

This phase will complete the framework’s feature set for enterprise use:

• Comprehensive security features
• Advanced deployment options
• Extended LLM provider support
• Full production readiness
• Complete documentation and examples
• Stable, backward-compatible API

Completed Releases

v0.3.0 (March 2025) - Context Knowledge Expansion

The MUXI Framework v0.3.0 brought significant improvements to knowledge capabilities, enhancing agents with specialized context knowledge and improved contextual awareness.

Major Features

• Agent-Level Knowledge Base:
  • File-based knowledge sources with automatic embedding generation
  • Efficient in-memory vector storage using FAISS
  • Persistent caching of embeddings for cost optimization
  • Dynamic embedding dimension detection based on the agent’s model
• Enhanced Knowledge API:
  • Add and remove knowledge sources programmatically
  • Search knowledge with relevance controls
  • List and manage knowledge sources
• Declarative Knowledge Configuration:
  • Specify file paths and descriptions
  • Automatic loading and embedding on agent initialization
• MCP Server Enhancements:
  • Made credentials optional for MCP servers
  • Better documentation on MCP server configuration
  • Updated examples to demonstrate credential-optional usage patterns

v0.2.0 (March 2025) - Architecture Migration

The MUXI Framework v0.2.0 marked a significant milestone with the completion of our architectural migration to a modular, package-based structure.

Major Features

• Modular Package Structure:
  • Reorganized from a monolithic structure to a modular, package-based architecture
  • Changed imports from src.* to muxi.core.*, muxi.cli.*, etc.
  • Created separately installable packages for core functionality, CLI, server, and web interface
  • Established well-defined interfaces between subsystems

v0.1.0 (January 2025) - Foundation Release

The initial release of the MUXI Framework established the core architecture and essential functionality.

Major Features

• Core Agent System:
  • Basic agent functionality with LLM integration
  • System message handling
  • Message processing pipeline
• Memory Systems:
  • Buffer memory using FAISS for short-term context
  • Long-term memory using PostgreSQL with pgvector
  • Context memory for user-specific structured information
• MCP Integration:
  • MCP handler for communication with external services
  • Multiple transport types (HTTP+SSE, Command-line)
  • Tool call processing and response handling
• Orchestrator:
  • Multi-agent management
  • Intelligent message routing
  • Agent description handling
• Command Line Interface:
  • Terminal-based user interface
  • Agent interaction commands
  • Server management

Current Development (v0.4.0)

The MUXI Framework v0.4.0 will introduce several advanced features with a focus on comprehensive API implementation and enhanced communication capabilities, reflecting our updated development priorities.

Key Features in Development

1. REST API & MCP Server Implementation:
   • Standard REST API endpoints (agent, conversation, memory management)
   • Authentication with API keys
   • Streaming support for chat endpoints with SSE
   • Proper error handling with standardized format
   • API versioning support
   • Rate limiting and throttling
   • API documentation using OpenAPI/Swagger
   • SSE-based MCP server implementation
2. WebSocket API Implementation:
   • WebSocket protocol for real-time communication
   • Support for multi-modal messages (text, images, audio)
   • Proper error handling and recovery mechanisms
   • Reconnection logic with exponential backoff
   • Support for attachments as specified in api.md
3. CLI Interfaces:
   • Enhanced CLI interface with support for all API operations
   • Improved user experience with better formatting and colors
   • Multi-modal interaction support
   • Configuration management commands
4. Web UI:
   • Responsive UI for mobile and desktop
   • Real-time updates using WebSocket
   • Multi-modal interaction support
   • User-friendly configuration interface
   • Agent management dashboard
5. Agent-to-Agent (A2A) Communication:
   • Capability discovery mechanism
   • Task delegation between agents
   • Context sharing with proper isolation
   • Conversation lifecycle management
   • External agent integration
   • Security and authentication

Upcoming Releases

v0.5.0 (Planned Q2 2025) - Scaling & Integration

The MUXI Framework v0.5.0 will focus on expanding LLM provider support, deployment solutions, logging and tracing capabilities, and initial multi-modal support.

Planned Features

• LLM Provider Expansion:
  • Anthropic LLM provider implementation
  • Gemini LLM provider implementation
  • Grok LLM provider implementation
  • Support for local models (Llama, Mistral, DeepSeek)
  • Model router for fallback and cost optimization
• Deployment & Package Distribution:
  • Docker containerization
  • Kubernetes deployment
  • Cloud deployment guides (AWS, GCP, Azure)
  • Monitoring and logging integration
  • CI/CD workflows with GitHub Actions
  • Automatic version bumping for releases
  • SQLite deployment guides for serverless environments
• Logging and Tracing System:
  • Comprehensive tracing system with unique trace IDs
  • Component-level tracing (user, orchestrator, agent, MCP)
  • Multiple output formats (stdout, file logs)
  • External service integration (Papertrail, Kafka)
  • CLI tools for trace viewing and analysis
  • Performance-optimized logging
  • Cloud integration for MUXI Cloud deployments
• Initial Multi-Modal Capabilities:
  • Basic document processing (PDF, Office documents)
  • Simple image analysis with vision-capable models
  • Initial audio processing with speech-to-text capabilities
  • Foundations for multi-modal interactions

v0.6.0 (Planned Q3 2025) - SDK & Memory Enhancements

The v0.6.0 release will focus on TypeScript/JavaScript SDK development, comprehensive multi-modal capabilities, and memory system enhancements.

Planned Features

• TypeScript/JavaScript SDK:
  • REST API client with full endpoint coverage
  • WebSocket client implementation
  • MCP server protocol implementation for JavaScript tools
  • Comprehensive examples and documentation
  • NPM package distribution
• Comprehensive Multi-Modal Capabilities:
  • Advanced document processing with knowledge extraction
  • Sophisticated image analysis with object detection and segmentation
  • Comprehensive audio processing with speaker identification
  • Seamless cross-modal reasoning and content generation
  • Multi-modal memory with advanced retrieval capabilities
  • Synchronized streaming across all modalities
• Memory System Enhancements:
  • Context memory templates for common use cases
  • Context memory namespaces for better organization
  • Complete memory-related REST API endpoints
  • Optimized vector operations for improved performance
  • Migration tools between database backends
  • Advanced multi-modal content support in memory systems
  • Completed automatic user information extraction system
  • Interface-level user ID generation
  • Advanced vector database features for scalability

Feature Completion Status

Feature	Status	Target Version
Core Agent System	✅ Complete	v0.1.0
Memory Systems	✅ Complete	v0.1.0
MCP Client Integration	✅ Complete	v0.1.0
Orchestrator	✅ Complete	v0.1.0
Basic CLI Interface	✅ Complete	v0.1.0
Knowledge Base	✅ Complete	v0.3.0
SQLite Vector Support	✅ Complete	v0.3.0
PostgreSQL Vector Support	✅ Complete	v0.3.0
Multi-user Support	✅ Complete	v0.3.0
Modular Package Architecture	✅ Complete	v0.2.0
REST API Implementation	🛠️ In Development	v0.4.0
WebSocket API Implementation	🛠️ In Development	v0.4.0
Enhanced CLI Interface	🛠️ In Development	v0.4.0
Web UI Development	🛠️ In Development	v0.4.0
A2A Communication	🛠️ In Development	v0.4.0
LLM Provider Expansion	📅 Planned	v0.5.0
Deployment Solutions	📅 Planned	v0.5.0
Logging and Tracing System	📅 Planned	v0.5.0
Multi-Modal Support (Initial)	📅 Planned	v0.5.0
TypeScript/JavaScript SDK	📅 Planned	v0.6.0
Memory System Enhancements	📅 Planned	v0.6.0
Additional Language SDKs	📅 Planned	v0.7.0
Testing & Documentation	📅 Planned	v0.7.0
Security Enhancements	🔮 Future	v1.0.0
API Stabilization	🔮 Future	v1.0.0
Extended Model Support	🔮 Future	v1.0.0

Long-Term Vision

Beyond the current roadmap, the MUXI Framework has several exciting directions for future development:

• Autonomous Agent Collectives: Advanced multi-agent systems that can work together autonomously
• Agent Specialization Marketplace: Library of pre-trained specialized agents for different domains
• Enhanced Learning Capabilities: Agents that improve over time through user feedback and interactions
• Hardware Integration: Support for robotics and IoT device control through standardized interfaces
• Enterprise IAM Integration: Integration with enterprise identity and access management systems
• Cross-Platform Support: Mobile and edge device deployment options

Contributing

We welcome contributions to the MUXI Framework! Please see our contribution guidelines for details on how to get involved with the development process.