Platform Roadmap
Building the future of
autonomous AI systems.
Orchgentic is being built as a next-generation orchestration runtime for autonomous and multi-agent AI systems — a unified platform for autonomous operations, multi-agent coordination, tool-driven execution, and distributed runtime infrastructure.
Developer Preview — v0.7.5-alpha
Current release focus:
Completed Foundation Layer
The core orchestration runtime is now operational.
Core Runtime
- Package structure
- CLI runtime
- YAML agents
- Provider abstraction
- Runtime initialization
Key Result: Configurable autonomous agents
Planning + Reflection
- Planner system
- Reflection engine
- Structured reasoning
Key Result: Agents capable of iterative reasoning workflows
Memory Layer
- SQLite memory
- Episodic memory
- Memory search
- Memory CLI tooling
Key Result: Persistent runtime memory
Triggers + Webhooks
- Heartbeat triggers
- Webhook runtime
- Dispatcher system
- Autonomous execution loops
Key Result: Event-driven and scheduled agents
Knowledge Layer
- Semantic memory
- Embeddings abstraction
- Local vector storage
- Zilliz-ready adapter
- Ingestion/search tooling
Key Result: Semantic knowledge retrieval
Tool Runtime
- Tool schemas
- Tool execution runtime
- Built-in tools
- Permissions
- Runtime orchestration
Key Result: Dynamic tool-using agents
Multi-Agent Orchestration
- Delegation
- Teams
- Shared context
- Orchestrator runtime
- Agent registry
- Agent-to-agent execution
Key Result: Coordinated multi-agent systems
Current Stabilization Phase
Runtime Hardening — v0.7.x
Reliability
- Recursion protection
- Timeout handling
- Retry handling
- Graceful failures
- Provider fallback handling
Tool Runtime
- Tool continuation loop
- Malformed tool handling
- Tool capability validation
- Preflight execution validation
Orchestration
- Delegation reliability
- Shared context integrity
- Long-running workflow stability
- Orchestration consistency
Time Context
- Timezone-aware runtime
- UTC + local context handling
- Multi-region support
- Cloud runtime consistency
Error System
- Structured severity levels
- Logging standardization
- Future notification integration
- Runtime traceability
Future Platform Layers
Planned sprints building toward a unified orchestration platform.
Workflow Graph Engine
Goal: Move from orchestration runtime into workflow orchestration
★ Foundational for visual orchestration
Plugin SDK + Ecosystem
Goal: Transform Orchgentic into an extensible ecosystem
Authentication + Security
Goal: Enterprise-ready runtime security
API Server + Remote Runtime
Goal: Hosted and remote execution support
No-Code Studio
Goal: Lower onboarding friction for non-developers
Observability + Telemetry
Goal: Production-grade operational visibility
Distributed Execution
Goal: Enterprise-scale autonomous infrastructure
Design Principles
Agents are runtimes, not prompts.
Orchestration matters more than isolated intelligence.
Autonomous systems require observability.
Reliability matters more than feature count.
Tools, memory, and workflows must operate coherently.
YAML-first configuration lowers onboarding friction.
Open ecosystems scale faster than closed systems.
Long-Term Direction
"A unified orchestration platform
for autonomous AI systems."
The immediate focus is operational maturity over feature expansion — runtime reliability, orchestration consistency, and developer experience first.