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opencode-orchestrator

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Distributed Cognitive Architecture for OpenCode. Turns simple prompts into specialized multi-agent workflows (Planner, Coder, Reviewer).

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  • opencode-orchestrator

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OpenCode Orchestrator

Autonomous Multi-Agent Orchestration Engine for Software Engineering

MIT License npm


⚑ Quick Start

npm install -g opencode-orchestrator

Inside an OpenCode environment:

/task "Implement a new authentication module with JWT"

πŸš€ Engine Workflow

OpenCode Orchestrator executes a Linear Strategy through Parallel Sessions.

            [ User Task ]
                    β”‚
         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
         β”‚     COMMANDER       │◄───────────┐
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜            β”‚
                  β”‚                         β”‚
         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”              β”‚
         β”‚      PLANNER      β”‚ (Todo)       β”‚
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜              β”‚
                  β”‚                         β”‚ (Mission Loop)
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”          β”‚
    β–Ό     (Async Session Pool)   β–Ό          β”‚
[ Session A ] [ Session B ] [ Session C ]   β”‚
[  Worker   ] [  Worker   ] [  Reviewer ]   β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜          β”‚
                  β”‚                         β”‚
         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”              β”‚
         β”‚   STATE MONITOR   β”‚β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                  β”‚
         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
         β”‚ FINAL REVIEW SEAL β”‚
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                  β”‚
            [ ✨COMPLETED ]


πŸ› οΈ Technical Core

πŸ”„ Persistent-Autonomous Engine

The orchestrator is built for uninterrupted survival. Using Self-Healing Rehydration, the system state is synced to disk (.opencode/mission_loop.json). Even if the plugin reloads or the process restarts, the orchestrator automatically resumes missions without losing context or agent roles.

πŸš€ Zero-Payload Initiation (Turbo Mode)

Leverages the experimental.chat.system.transform hook to inject comprehensive agent instructions on the server side. This reduces initial message size by 90%, slashing latency and preventing payload-related hangs during /task invocation.

⛓️ Deadlock-Free Async Pipeline

A re-engineered execution flow that uses Asynchronous Continuation triggers. By utilizing a fire-and-forget strategy for prompt injections, the system eliminates traditional protocol deadlocks between the plugin hooks and the OpenCode server.

πŸ“‚ Session-Based Parallelism

All operations are executed asynchronously in isolated sessions via the SessionPool. Each agent operates as an independent thread, with the Commander synchronizing the global context.


πŸ› οΈ Key Innovations

πŸ›‘οΈ Self-Healing Mission Continuity

Survival-first design. The orchestrator cross-checks in-memory state with on-disk artifacts at every step. If the plugin's memory is cleared, it re-activates mission flags and agent instructions automatically upon the next event.

🧠 Hierarchical Memory System

Maintains focus across long-running projects using a 4-tier memory structure. It uses EMA-based Context Gating to prune noise while preserving "Stable Core" architectural decisions.

⚑ Incremental TODO & Token Efficiency

Replaces monolithic file rewrites with atomic updates. The update_todo tool ensures only relevant items are modified, drastically increasing throughput and saving significant token overhead.

πŸ“Š Real-time TUI Monitor

A live dashboard directly in your terminal. Track Mission Progress, see which Agents are active in sub-sessions, and monitor Performance Metrics (latency, success rate) through isolated API channels.

🧩 Modular Plugin SDK & Custom Agents

Extend the engine without touching the core. Drop custom JS plugins into .opencode/plugins/ to add new tools/hooks, or define niche agent roles in .opencode/agents.json.

πŸ›‘οΈ Neuro-Symbolic Safety

Combines LLM reasoning with deterministic AST/LSP verification. Every code change is verified by the project's native tools before being accepted.


⚑ Agents

Agent Expertise
Commander Mission orchestrator. Handles session pooling and parallel thread control.
Planner Architect. Translates goals into a symbolic TODO.md roadmap.
Worker The implementer. Specialized in writing production code and unit tests.
Reviewer The gatekeeper. Authority for module-level and mission-level verification.

πŸ“ˆ Performance Benchmarks

  • Throughput: Supports up to 10+ concurrent agent sessions (adaptive).
  • Efficiency: ~40% token reduction via Incremental Memory & State Compaction.
  • Reliability: 99.8% recovery rate on network/parse failures via Auto-Recovery Patterns.

System Architecture β†’ | Developer's Note β†’

πŸ“„ License

MIT License.