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Last Updated: January 2024

Overview

RunAgent is continuously evolving to provide the best possible experience for AI agent deployment and multi-language access. This roadmap outlines our planned features and improvements.

Current Status

βœ… Completed Features

  • Core Platform: Basic agent deployment and execution
  • Multi-Language SDKs: Python, JavaScript, Go, Rust
  • Streaming Support: Real-time response streaming
  • Firecracker Integration: Secure microVM execution
  • Auto-scaling: Automatic agent scaling based on demand
  • REST API: Complete REST API for agent interaction
  • WebSocket Support: Real-time communication
  • Configuration System: Flexible agent configuration
  • Error Handling: Comprehensive error handling and reporting
  • Monitoring: Basic monitoring and logging

Short-term Roadmap (Q1 2024)

πŸ› οΈ In Development

Rate Limiting

  • Client-based Rate Limiting: Per-client request rate limits
  • Agent-based Rate Limiting: Per-agent request rate limits
  • Dynamic Rate Limiting: Adaptive rate limiting based on system load
  • Rate Limit Headers: Standard rate limit headers in responses

Agent Authentication

  • API Key Management: Enhanced API key management system
  • Role-based Access Control: Fine-grained permission system
  • Agent-level Authentication: Individual agent authentication
  • OAuth Integration: OAuth 2.0 support for enterprise users

Enhanced Monitoring

  • Real-time Metrics: Live performance metrics dashboard
  • Alerting System: Configurable alerts for system issues
  • Distributed Tracing: End-to-end request tracing
  • Performance Analytics: Detailed performance analysis

πŸ”œ Planned for Q1

Advanced Caching

  • Response Caching: Intelligent response caching
  • Cache Invalidation: Smart cache invalidation strategies
  • Distributed Caching: Multi-instance cache coordination
  • Cache Analytics: Cache hit/miss analytics

Improved SDKs

  • TypeScript Definitions: Complete TypeScript support
  • Async/Await Patterns: Enhanced async patterns
  • Error Recovery: Automatic error recovery mechanisms
  • Connection Pooling: Advanced connection pooling

Medium-term Roadmap (Q2-Q3 2024)

πŸš€ Major Features

Agent Memory

  • Persistent Memory: Long-term memory for agents
  • Memory Management: Efficient memory storage and retrieval
  • Memory Sharing: Shared memory between agent instances
  • Memory Analytics: Memory usage analytics and optimization

Agent-to-Agent Communication

  • Inter-Agent Messaging: Direct agent-to-agent communication
  • Event System: Event-driven agent communication
  • Agent Discovery: Automatic agent discovery and registration
  • Communication Protocols: Standardized communication protocols

Advanced Frameworks

  • LangChain Integration: Enhanced LangChain support
  • Hugging Face Integration: Hugging Face model integration
  • Custom Runtimes: Support for additional programming languages
  • Framework Templates: Pre-built framework templates

Enterprise Features

  • Multi-tenancy: Multi-tenant architecture support
  • Enterprise SSO: Single sign-on integration
  • Audit Logging: Comprehensive audit logging
  • Compliance: SOC 2, GDPR, and HIPAA compliance

πŸ”§ Infrastructure Improvements

Scalability

  • Kubernetes Integration: Native Kubernetes support
  • Service Mesh: Istio integration for advanced networking
  • Edge Computing: Edge deployment capabilities
  • Global Distribution: Multi-region deployment

Performance

  • GPU Support: GPU-accelerated agent execution
  • Optimized Serialization: Faster data serialization
  • Connection Optimization: Advanced connection management
  • Resource Optimization: Intelligent resource allocation

Long-term Roadmap (Q4 2024+)

🌟 Vision Features

AI-Powered Platform

  • Intelligent Scaling: AI-driven auto-scaling
  • Predictive Analytics: Predictive performance analytics
  • Anomaly Detection: Automatic anomaly detection
  • Self-healing: Self-healing system capabilities

Advanced Agent Capabilities

  • Agent Composition: Composable agent architectures
  • Agent Orchestration: Complex agent workflows
  • Agent Learning: Self-improving agents
  • Agent Marketplace: Public agent marketplace

Platform Ecosystem

  • Plugin System: Extensible plugin architecture
  • Third-party Integrations: Rich third-party integrations
  • Community Features: Community-driven features
  • Open Source: Open source platform components

Feature Status Legend

  • βœ… Completed: Feature is fully implemented and available
  • πŸ› οΈ In Development: Feature is currently being developed
  • πŸ”œ Planned: Feature is planned for upcoming release
  • πŸš€ Major Feature: Significant new capability
  • πŸ”§ Infrastructure: Platform infrastructure improvement
  • 🌟 Vision: Long-term vision feature

Release Schedule

Version 1.0 (Q1 2024)

  • Rate limiting
  • Agent authentication
  • Enhanced monitoring
  • Advanced caching

Version 1.1 (Q2 2024)

  • Agent memory
  • Agent-to-agent communication
  • Advanced frameworks
  • Enterprise features

Version 1.2 (Q3 2024)

  • Kubernetes integration
  • GPU support
  • Edge computing
  • Global distribution

Version 2.0 (Q4 2024)

  • AI-powered platform
  • Advanced agent capabilities
  • Platform ecosystem
  • Open source components

Community Feedback

We value community input and feedback. Here’s how you can contribute:

Feature Requests

  • GitHub Issues: Submit feature requests on GitHub
  • Discord Community: Discuss features in our Discord
  • User Surveys: Participate in our user surveys
  • Beta Testing: Join our beta testing program

Priority Factors

  • User Demand: Number of users requesting the feature
  • Technical Feasibility: How feasible the feature is to implement
  • Strategic Alignment: How well it aligns with our vision
  • Resource Requirements: Development effort required

Getting Involved

Contributing

  • Code Contributions: Contribute to the codebase
  • Documentation: Help improve documentation
  • Testing: Help test new features
  • Feedback: Provide feedback on features

Beta Access

  • Early Access: Get early access to new features
  • Feedback Loop: Provide feedback during development
  • Influence Direction: Help shape feature development
  • Community Recognition: Get recognized for contributions

Migration Planning

Backward Compatibility

  • API Stability: Maintain API stability across versions
  • Migration Guides: Provide migration guides for breaking changes
  • Deprecation Warnings: Give advance notice of deprecated features
  • Support Timeline: Maintain support for older versions

Upgrade Paths

  • Incremental Updates: Incremental upgrade paths
  • Automated Migration: Automated migration tools
  • Manual Migration: Manual migration guides
  • Support: Migration support and assistance

Success Metrics

Platform Metrics

  • Agent Deployments: Number of agents deployed
  • API Calls: Number of API calls processed
  • User Satisfaction: User satisfaction scores
  • Performance: System performance metrics

Feature Adoption

  • Feature Usage: How often features are used
  • User Feedback: User feedback on features
  • Performance Impact: Impact on system performance
  • Bug Reports: Number of bugs reported

Next Steps

πŸŽ‰ Thank you for your interest in RunAgent’s roadmap! We’re committed to building the best possible platform for AI agent deployment. Your feedback and contributions help shape our direction!