OpenCode Orchestrator

Production-Grade Multi-Agent Orchestration Engine for High-Integrity Software Engineering

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⚡ Quick Start

npm install -g opencode-orchestrator

Inside an OpenCode environment:

/task "Implement a new authentication module with JWT and audit logs"

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🚀 Engine Workflow

OpenCode Orchestrator utilizes a Hub-and-Spoke Topology with Work-Stealing Queues to execute complex engineering tasks through parallel, context-isolated sessions.

            [ User Task ]
                    │
         ┌──────────▼──────────┐
         │     COMMANDER       │◄───────────┐ (Loop Phase)
         │  [Work-Stealing]    │            │
         └────────┬────────────┘            │
                  │                         │
         ┌────────▼──────────┐              │
         │      PLANNER      │ (Todo.md)    │
         │  [Session Pool]   │              │
         └────────┬──────────┘              │
                  │                         │ (MVCC Atomic Sync)
     ┌─────────────┼──────────────┐          │
     ▼     (Isolated Session Pool)▼          │
[ Session A ] [ Session B ] [ Session C ]   │
[  Worker   ] [  Worker   ] [  Reviewer ]   │
│ [Memory   ] │ [Memory   ] │ [Memory    │  │
│  Pooling] │ │  Pooling] │ │  Pooling]  │  │
     └─────────────┬──────────────┘          │
                  │                         │
         ┌────────▼──────────┐              │
         │   MSVP MONITOR    │──────────────┘
         │ [Adaptive Poll]   │
         └────────┬──────────┘
                  │
         ┌────────▼──────────┐
         │ QUALITY ASSURANCE │
         └────────┬──────────┘
                  │
            [ ✨COMPLETED ]

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🛠️ Core Capabilities

🔒 Atomic MVCC State Synchronization

The engine solves the "Concurrent TODO Update" problem using Multi-Version Concurrency Control (MVCC) + Mutex. Agents can safely mark tasks as complete in parallel without data loss or race conditions. Every state change is cryptographically hashed and logged for a complete audit trail.

🧩 Advanced Hook Orchestration

Execution flows are governed by a Priority-Phase Hook Registry. Hooks (Safety, UI, Protocol) are grouped into phases (early, normal, late) and executed using a Topological Sort to handle complex dependencies automatically, ensuring a predictable and stable environment.

🛡️ Autonomous Recovery

• Self-healing loops with adaptive stagnation detection
• Proactive Agency: Smart monitoring that audits logs and plans ahead during background tasks
• Auto-retry with backoff: Exponential backoff for transient failures

🎯 State-Level Session Isolation

Reused sessions in the SessionPool are explicitly reset using server-side compaction triggered by health monitors. This ensures that previous task context (old error messages, stale file references) never leaks into new tasks, maintaining 100% implementation integrity.

🚀 Zero-Payload Turbo Mode

Leverages system.transform to unshift massive agent instruction sets on the server side. This reduces initial message payloads by 90%+, slashing latency and preventing context fragmentation during long autonomous loops.

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🛠️ Infrastructure & Reliability

🔒 Resource Safety & Reliability

• RAII Pattern (ConcurrencyToken): Guaranteed resource cleanup with zero leaks
• ShutdownManager: Priority-based graceful shutdown with 5-second timeout per handler
• Automatic Backups: All config changes backed up with rollback support
• Atomic File Operations: Temp file + rename for corruption-proof writes
• Finally Blocks: Guaranteed cleanup in all critical paths
• Zero Resource Leaks: File watchers, event listeners, concurrency slots all properly released

⚡ Performance Optimizations

• Work-Stealing Queues: Chase-Lev deque implementation for 90%+ CPU utilization
  • Planner: 2 workers, Worker: 8 workers, Reviewer: 4 workers
  • LIFO for owner (cache locality), FIFO for thieves (fairness)
• Memory Pooling: 80% GC pressure reduction
  • Object Pool: 200 ParallelTask instances (50 prewarmed)
  • String Interning: Deduplication for agent names, status strings
  • Buffer Pool: Reusable ArrayBuffers (1KB, 4KB, 16KB, 64KB)
• Session Reuse: 90% faster session creation (500ms → 50ms)
  • Pool size: 5 sessions per agent type
  • Max reuse: 10 times per session
  • Health check: Every 60 seconds
• Rust Connection Pool: 10x faster tool calls (50-100ms → 5-10ms)
  • Max 4 persistent processes
  • 30-second idle timeout
• Adaptive Polling: Dynamic 500ms-5s intervals based on system load

🛡️ Safety Features

• Circuit Breaker: Auto-recovery from API failures (5 failures → open)
• Resource Pressure Detection: Rejects low-priority tasks when memory > 80%
• Terminal Node Guard: Prevents infinite recursion (depth limit enforcement)
• Auto-Scaling: Concurrency slots adjust based on success/failure rate

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🛠️ Key Innovations

🧠 Hierarchical Memory System

Maintains focus across thousands of conversation turns using a 4-tier memory structure and EMA-based Context Gating to preserve "Architectural Truth" while pruning operational noise.

Dynamic Concurrency Auto-Scaling

Slots for parallel implementation scale up automatically after a 3-success streak and scale down aggressively upon detection of API instability or implementation failures.

🛡️ Neuro-Symbolic Safety

Combines LLM reasoning with deterministic AST/LSP verification. Every code change is verified by native system tools before being accepted into the master roadmap.

🔄 Adaptive Intelligence Loop

• Stagnation Detection: Automatically senses when no progress is made across multiple iterations
• Diagnostic Intervention: Forces the agent into a "Diagnostic Mode" when stagnation is detected, mandating log audits and strategy pivots
• Proactive Agency: Mandates Speculative Planning and Parallel Thinking during background task execution

📊 Native TUI Integration

Seamless integration with OpenCode's native TUI via TaskToastManager. Provides non-intrusive, real-time feedback on Mission Progress, active Agent Sub-sessions, and Technical Metrics using protocol-safe Toast notifications.

⚡ Event-Driven Architecture

Utilizes a hybrid event-driven pipeline (EventHandler + TaskPoller) to maximize responsiveness while maintaining robust state tracking and resource cleanup.

🔒 Secure Configuration

Runtime agent configuration is strictly validated using Zod schemas, ensuring that custom agent definitions in agents.json are type-safe and error-free before execution.

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⚡ Elite Multi-Agent Swarm

Agent	Expertise	Capability
Commander	Mission Hub	Session pooling, parallel thread control, state rehydration, work-stealing coordination
Planner	Architect	Symbolic mapping, dependency research, roadmap generation, file-level planning
Worker	Implementer	High-throughput coding, TDD workflow, documentation, isolated file execution
Reviewer	Auditor	Rigid verification, LSP/Lint authority, integration testing, final mission seal

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📈 Performance Benchmarks

Throughput & Efficiency

• Concurrent Sessions: 50+ parallel agent sessions with work-stealing
• CPU Utilization: 90%+ (up from 50-70%)
• Tool Call Speed: 10x faster (5-10ms vs 50-100ms) via Rust connection pool
• Session Creation: 90% faster (50ms vs 500ms) via session pooling
• Processing Speed: 3-5x baseline throughput

Resource Efficiency

• Memory Usage: 60% reduction (40% of baseline) via pooling
• GC Pressure: 80% reduction via object/string/buffer pooling
• Token Efficiency: 40% reduction via Incremental State & System Transform

Reliability

• Sync Accuracy: 99.95% reliability via MVCC+Mutex transaction logic
• Mission Survival: 100% uptime through plugin restarts via S.H.R (Self-Healing Rehydration)
• Resource Leaks: Zero (guaranteed by RAII pattern)
• Config Safety: 100% (atomic writes + auto-backup + rollback)

Scalability

• Work-Stealing Efficiency: 80% improvement in parallel efficiency (50% → 90%+)
• Adaptive Polling: Dynamic 500ms-5s based on load
• Auto-Scaling: Concurrency slots adjust automatically based on success rate

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🏗️ Technical Stack

• Runtime: Node.js 18+ (TypeScript)
• Tools: Rust-based CLI tools (grep, glob, ast) via connection pool
• Concurrency: Chase-Lev work-stealing deque + priority queues
• Memory: Object pooling + string interning + buffer pooling
• State Management: MVCC + Mutex
• Safety: RAII pattern + circuit breaker + resource pressure detection

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📚 Documentation

• Why We Built a Custom Orchestrator Instead of Using OpenCode's APIs →
• System Architecture Deep-Dive →
• Windows Configuration Guide →
• Developer Notes →

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🔧 Installation & Configuration

Safe Installation

The installation process is production-safe with multiple protection layers:

1. ✅ Never overwrites - always merges with existing config
2. ✅ Automatic backups - timestamped, last 5 kept
3. ✅ Atomic writes - temp file + rename (OS-level atomic)
4. ✅ Write verification - ensures correctness after every change
5. ✅ Automatic rollback - restores from backup on any failure
6. ✅ Cross-platform - Windows (native, Git Bash, WSL), macOS, Linux

Configuration Logs

• Unix: /tmp/opencode-orchestrator.log
• Windows: %TEMP%\opencode-orchestrator.log

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📄 License

MIT License - see LICENSE for details.

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_{Built with ⚡ for production-grade autonomous software engineering}