OpenCode Orchestrator

Autonomous Multi-Agent Orchestration Engine for Software Engineering

⚡ Quick Start

💡 Tip: Updated daily. Run this command everyday to stay up to date.

npm install -g opencode-orchestrator

In an OpenCode environment:

/task "Implement"

Overview

OpenCode Orchestrator is a Distributed Cognitive Architecture designed for high-precision software engineering. It operates on a strict "Verify, then Trust" philosophy, distinguishing itself from simple stochastic chatbots by enforcing rigorous architectural standards.

The system is a testament to the operational paradox: Complexity is easy; Simplicity is hard.

While the user interaction remains elegantly minimal, the internal architecture encapsulates a rigorous alignment of microscopic state management (Rust atoms) and macroscopic strategic planning (Agent Topology). Every component reflects a deep design philosophy aimed at abstracting chaos into order.

Building this system reaffirmed a timeless engineering truth: "Simple is Best" is the ultimate complexity to conquer. This engine is my answer to that challenge—hiding the intricate dynamics of Autonomous Agentic Collaboration behind a seamless, user-friendly veil.

This philosophy extends to efficiency. I achieved Zero-Configuration usability while rigorously optimizing for performance—delivering higher quality outcomes than alternatives while saving ~40% of tokens. By maximizing the potential of cost-effective models like GLM-4.7, we prove that superior engineering—not just raw model size—is the key to autonomous performance.

📊 Workflow

                [ /task "Implement" ]
                         |
             +-----------v-----------+ <-----------------+
             |       COMMANDER       |                   |
             +-----------+-----------+                   |
                         |                               |
             +-----------v-----------+                   |
             |        PLANNER        |                   |
             +-----------+-----------+                   |
                         |                               |
      +------------------v------------------+            |
      |         Parallel Spawning          |            |
      +------+----------+----------+-------+            |
             |          |          |                    |
      +------v---+ +----v-----+ +--v-------+            |
      |  WORKER  | |  WORKER  | |  WORKER  |            |
      +------+---+ +----+-----+ +--+-------+            |
             |          |          |                    |
      +======v==========v==========v======+             |
      |        Parallel Reviewers         |             |
      +======+===========+=========+======+             |
             |           |         |                    |
      +------v----+ +----v-----+ +-v--------+           |
      | REVIEWER  | | REVIEWER | | REVIEWER |           |
      +------+----+ +----+-----+ +-+--------+           |
             |           |         |                    |
            =v===========v=========v=                   |
            |      SYNC BARRIER     |                   |
            ============+============                   |
                        |                               |
             +----------v----------+                    |
             |   MASTER REVIEWER   |                    |
             |  +----------------+ |                    |
             |  | [x] Build      | |                    |
             |  | [x] Tests      | |                    |
             |  | [x] E2E        | |                    |
             |  | [x] Sync       | |                    |
             |  +----------------+ |                    |
             +----------+----------+                    |
                        |                               |
                ________v________                       |
               /                 \   NO                 |
              / All Checks Pass?  \---------------------+
              \                   /
               \_________________/
                        | YES
                        |
              [ 🎖️ MISSION SEALED ]
                        |
             +----------v----------+
             |     Notification    |
             +---------------------+

� Cognitive Architecture & Key Strengths

📉 Adaptive Context Gating (EMA-based)

I combat "Context Drift" using a mechanism derived from Exponential Moving Average (EMA) algorithms. Irrelevant conversation noise follows a rapid decay curve, while critical architectural decisions are reinforced into Stable Core Memory. This functions as an Attention Sink, allowing agents to work indefinitely without Catastrophic Forgetting.

🧬 BDI (Belief-Desire-Intention) Collaboration

The system implements a variant of the BDI Software Agent Model:

• Belief (Context): Shared state & file system reality.
• Desire (Mission): The user's goal (e.g., "Fix this bug").
• Intention (Plan): The TODO.md roadmap execution. Agents do not merely "chat"; they collaborate to align their Beliefs with Desires through strictly executed Intentions, mirroring human engineering squads.

⚙️ Neuro-Symbolic Hybrid Engine

Pure LLM approaches are stochastic. I bind them with a Neuro-Symbolic Architecture that anchors probabilistic reasoning to the deterministic precision of Rust-based AST/LSP Tools. This ensures every generated token is grounded in rigorous syntax analysis, delivering high performance with minimal resource overhead.

⚡ Dynamic Fork-Join Parallelism with Backpressure

The engine features an Intelligent Load-Balancing System that fluidly switches between synchronous barriers and asynchronous Fork-Join patterns. It monitors System Backpressure to dynamically adjust concurrency slots in real-time (Adaptive Throttling), maximizing throughput on high-end hardware while maintaining stability on constrained environments.

🎯 Iterative Rejection Sampling (Zero-Shot Defense)

I employ a Rejection Sampling Loop driven by the Master Reviewer Agent (Final Reward Model). Through the Metric-based Strict Verification Protocol (MSVP), code paths that fail execution tests are pruned. The system iterates until the solution converges on a mathematically correct state (0% Error Rate), rejecting any solution that lacks evidence.

🧩 Externalized Chain-of-Thought (CoT)

The Planner's TODO.md serves as an Externalized Working Memory (Scratchpad). This persistent Symbolic Chain-of-Thought decouples detailed planning from the LLM's immediate context window, enabling the orchestration of massive, multi-step engineering tasks without logical degradation.

🔄 Hierarchical Verification Pipeline (MVP)

The system employs a Multi-Stage Verification Pipeline:

1. Module-Level: Reviewers verify individual Worker outputs (unit tests, type checks)
2. System-Level: Master Reviewer performs comprehensive E2E verification
3. Loopback: Failed checks trigger automatic re-planning and correction cycles

This separation of concerns ensures both granular code quality and holistic system integrity.

🌍 Environment-Agnostic Verification

The Master Reviewer auto-detects project environments (Node.js, Rust, Python, Java, Go, C/C++, Docker, etc.) and adapts verification strategies accordingly. No hardcoded assumptions—true polyglot support.

⚡ Agents

Developer's Note

Full Developer's Note →

System Architecture →

📄 License

MIT License. See LICENSE for details.