This document outlines the development roadmap for Shannon. For the latest updates, check GitHub Issues and Discussions.
- ✅ Core platform stable - Go orchestrator, Rust agent-core, Python LLM service
- ✅ Deterministic replay debugging - Export and replay any workflow execution
- ✅ OPA policy enforcement - Fine-grained security and governance rules
- ✅ WebSocket streaming - Real-time agent communication with event filtering and replay
- ✅ SSE streaming - Server-sent events for browser-native streaming
- ✅ WASI sandbox - Secure code execution environment with resource limits
- ✅ Multi-agent orchestration - DAG, parallel, sequential, hybrid, ReAct, Tree-of-Thoughts, Chain-of-Thought, Debate, Reflection patterns
- ✅ Vector memory - Qdrant-based semantic search and context retrieval
- ✅ Hierarchical memory - Recent + semantic retrieval with deduplication and compression
- ✅ Near-duplicate detection - 95% similarity threshold to prevent redundant storage
- ✅ Token-aware context management - Configurable windows (5-200 msgs), smart selection, sliding window compression
- ✅ Circuit breaker patterns - Automatic failure recovery and degradation
- ✅ Multi-provider LLM support - OpenAI, Anthropic, Google, DeepSeek, and more
- ✅ Token budget management - Per-agent and per-task limits with validation
- ✅ Session management - Durable state with Redis/PostgreSQL persistence
- ✅ Agent Coordination - Direct agent-to-agent messaging, dynamic team formation, collaborative planning
- ✅ MCP integration - Model Context Protocol support for standardized tool interfaces
- ✅ OpenAPI integration - REST API tools with retry logic, circuit breaker, and ~70% API coverage
- ✅ Provider abstraction layer - Unified interface for adding new LLM providers with automatic fallback
- ✅ Advanced Task Decomposition - Recursive decomposition with ADaPT patterns, chain-of-thought planning, task template library
- ✅ Composable workflows - YAML-based workflow templates with declarative orchestration patterns
- ✅ Unified Gateway & SDK - REST API gateway, Python SDK (v0.7.0 on PyPI), CLI tool for easy adoption
- 🚧 Ship Docker Images - Pre-built docker release images, make setup straightforward
- TypeScript/JavaScript SDK - npm package for Node.js and browser usage
- (Optional) Drag and Drop UI - AgentKit-like drag & drop UI to generate workflow yaml templates
- More tools - more useful customized tools
- Advanced Memory - Episodic rollups, entity/temporal knowledge graphs, hybrid dense+sparse retrieval
- Advanced Learning - Pattern recognition from successful workflows, contextual bandits for agent selection
- Agent Collaboration Foundation - Agent roles/personas, agent-specific memory, supervisor hierarchies
- MMR diversity reranking - Implement actual MMR algorithm for diverse retrieval (config ready, 40% done)
- Performance-based agent selection - Epsilon-greedy routing using agent_executions metrics
- Context streaming events - Add 4 new event types (CONTEXT_BUILDING, MEMORY_RECALL, etc.)
- Budget enforcement in supervisor - Pre-spawn validation and circuit breakers for multi-agent cost control
- Use case presets - YAML-based presets for debugging/analysis modes with preset selection logic
- Debate outcome persistence - Store consensus decisions in Qdrant for learning
- Shared workspace functions - Agent artifact sharing (AppendToWorkspace/ListWorkspaceItems)
- Intelligent Tool Selection - Semantic tool result caching, agent experience learning, performance-based routing
- Native RAG System - Document chunking service, knowledge base integration, context injection with source attribution
- Team-level quotas & policies - Per-team budgets, model/tool allowlists via config
- Solana Integration - Decentralized trust, on-chain attestation, and blockchain-based audit trails for agent actions
- Production Observability - Distributed tracing, custom Grafana dashboards, SLO monitoring
- Enterprise Features - SSO integration, multi-tenant isolation, approval workflows
- Edge Deployment - WASM execution in browser, offline-first capabilities
- Autonomous Intelligence - Self-organizing agent swarms, critic/reflection loops, group chat coordination
- Cross-Organization Federation - Secure agent communication across tenants, capability negotiation protocols
- Regulatory & Compliance - SOC 2, GDPR, HIPAA automation with audit trails
- AI Safety Frameworks - Constitutional AI, alignment mechanisms, adversarial testing
- Personalized Model Training - Learn from each user's successful task patterns, fine-tune models on user-specific interactions
Want to contribute to the roadmap? Open an issue or start a discussion.