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Roadmap

Philosophy

AWS infrastructure and monitoring come first — the product must be live and observable before iterating on features. Then validate agent autonomy with real sprints and sandboxed output preview. Only invest in scaling when revenue justifies it.

Current State (near-MVP)

Done:

  • Core: Provider, Agent, Skill, Orchestrator, Cooperation, StateGraph engine
  • 5 providers: Anthropic, OpenAI, Google, Ollama, OpenRouter (free models + fallback chains)
  • 23 agents across 5 categories (software-engineering, data-science, finance, marketing, tooling)
  • SkillKit scout agent for marketplace skill discovery (15,000+ skills)
  • Dashboard: streaming, multi-turn chat, presets, file context, agent execution, cost tracking
  • Checkpointing: InMemory, SQLite, PostgreSQL
  • Docker/OrbStack: dashboard, postgres, test, lint, format
  • 939+ tests

What's missing for production:

  • Cloud deployment (AWS)
  • Infrastructure monitoring (Prometheus + Grafana)
  • Agent output sandbox (preview before merge)
  • Autonomous agent workflow validation

Phases

PhaseFocusTimelinePage
Phase 0AWS Infrastructure + Prometheus/GrafanaNOWDetails
Phase 1Agent Autonomy Lab (sandbox, sprints, observability)Month 1Details
Phase 2Optimization & First RevenueMonth 2-4Details
Phase 3Platform MaturityMonth 4-6Details
Phase 4Hybrid GPU ScalingMonth 6+Details

Pre-MVP Versions (in progress)

VersionFocusPage
v0.4.0Multi-Agent CooperationDetails
v0.5.0Smart Routing & Cost OptimizationDetails
v0.6.0Production HardeningDetails
v0.7.0Advanced Graph PatternsDetails
v0.8.0External IntegrationsDetails
v1.0.0General AvailabilityDetails
v1.1LangGraph-Inspired Improvements (channels, HITL, caching, conformance)Details
v1.2Dynamic Team Routing (team-lead selects agents per task)Details

Post-MVP: Scaling

VersionTriggerFocusPage
ScalingRevenue > 600 EUR/mo x 2 monthsGPU infra, fine-tuning, enterpriseDetails