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Multi-agent development system for opencode with persistent knowledge

Package Exports

  • opencode-manifold
  • opencode-manifold/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (opencode-manifold) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Open Manifold

Multi-agent development system for opencode with persistent knowledge.

A Lead Dev agent walks through a task plan, a deterministic plugin state machine orchestrates a Senior/Junior/Debug loop, and all decisions are logged to a persistent Manifold/ folder that compounds knowledge across the project.

Core principle: Deterministic orchestration + scoped LLM execution + persistent knowledge = agents that learn and don't repeat mistakes.


Two Ways to Install

  1. Add "opencode-manifold" to your opencode.json plugins array:
{
  "$schema": "https://opencode.ai/config.json",
  "plugin": ["opencode-manifold"]
}
  1. Run opencode. The plugin auto-installs and generates all required files on first session.

Option B — Local plugin files

  1. Clone this repository
  2. Copy src/ into your project's .opencode/plugins/ directory:
    cp -r src ~/.config/opencode/plugins/opencode-manifold/
    # OR copy into your project:
    mkdir -p .opencode/plugins
    cp -r src .opencode/plugins/opencode-manifold
  3. Add to your opencode.json:
    {
      "plugin": ["/path/to/.opencode/plugins/opencode-manifold"]
    }
  4. Run opencode. The plugin generates all required files on first session.

Quick Start

  1. Install using one of the methods above
  2. Create a plan — any format (markdown, TODO list, email, meeting notes)
  3. Point the Lead Dev agent at your plan file and tell it to execute

The Lead Dev will:

  • Extract tasks from your plan
  • Dispatch each to the multi-agent system
  • Log all decisions to Manifold/

Architecture

User → points to plan file (any format)
  │
Lead Dev
  Reads plan, extracts tasks, dispatches via dispatch_task tool
  │
  ▼
Plugin State Machine (TypeScript, zero LLM cost)
  │
  ├── Phase 1: Clerk research
  │     ├── codebase-index search + wiki lookback + graph entries
  │     ├── Composes scoped prompt
  │     └── Creates task log file
  │
  ├── Phase 2: Senior/Junior/Debug loop
  │     ├── Spawn Senior Dev → implementation
  │     ├── Spawn Junior Dev → review (first word: COMPLETE or QUESTIONS)
  │     ├── Loop up to 3×, then escalate to Debug
  │     └── Debug → one loop with Senior+Debug, then escalate to Clerk retry 
  │
  ├── Phase 3: Clerk logging
  │     ├── Appends design decisions to task log
  │     ├── Updates index.md, appends log.md, updates graph entries
  │     └── Returns to Lead Dev
  │
  └── Phase 4: Test (optional)
        ├── If test defined → run, check output
        └── If no test → complete

Agents

Agent Model Role
lead-dev good tool calling + planning Reads plan, dispatches tasks
clerk conceptualizing + large context Researches context, composes prompts, logs results
senior-dev coding Implementation specialist
junior-dev cheap/small coding Review agent
debug coding + troubleshooting Fresh perspective after 3 failed loops

The sr/jr/debug loop enables cost-efficient workflows: a strong sr-dev paired with a cheaper junior for review, and a different model for debug (fresh perspective). The key is diversity between sr and debug, not raw power. Junior's role as reviewer means a smaller/cheaper model works well — the sr/jr loop catches most issues, and debug's different reasoning approach breaks deadlocks.


Example Configurations

Budget Senior Dev Junior Dev Debug
Cost-effective MiniMax-2.7 Qwen-3.5 122B-A10B GLM 5.1
Balanced GLM 5.1 Minimax-2.7 GPT 5.4 mini
Premium Claude Opus GPT 5.4 Gemini 3.1 pro

Models change frequently. These examples prioritize sr/debug diversity and cost gradient.


Manifold Folder Structure

Manifold/
├── .obsidian/          # Makes it an Obsidian vault
├── index.md            # Catalog of all tasks
├── log.md              # Chronological append-only log
├── plans.json          # Plan registry
├── schema.md           # Wiki conventions
├── settings.json       # User-tunable parameters
├── state.json          # State machine persistence
├── tasks/              # Individual task logs
│   ├── share-cart-001.md
│   └── ...
└── graph/              # Document graph
    ├── src_middleware_auth_ts.md
    └── ...

Settings

Located at Manifold/settings.json:

Setting Default Description
maxLoops 3 Senior↔Junior loops before Debug escalation
maxRetries 1 Retry attempts per agent call
maxResults 10 Codebase-index search results
recentTaskCount 3 Recent task logs to read for context
clerkRetryEnabled true Clerk gets second pass after Debug fails
timeout 300 Max seconds per agent call
testCommand null Default test command

Session Resumption

If a session crashes mid-loop:

  • The Lead Dev reads the plan file
  • Completed tasks are marked in index.md
  • Lead Dev picks up from the first unmarked task
  • The existing task log (created in Phase 1) shows partial work

No mid-loop state recovery needed — restart the task, the Clerk's research phase accounts for what was already done.


FAQ

Q: Do I need to configure agents? A: No. On first run, the plugin auto-generates agent definitions, skills, and configuration from built-in templates.

Q: Can I customize agents and skills? A: Yes. Edit the files in .opencode/agents/ and .opencode/skills/ after they're generated.

Q: What is the Clerk's role? A: The Clerk has full project sight. It researches context (codebase-index, wiki, graph), composes scoped prompts for workers, and maintains the wiki.

Q: What happens if Debug also fails? A: The Clerk gets one retry with full failure context. If that also fails, the task escalates to you.

Q: Can I define tests for tasks? A: Yes. Add test: <command> in the task description or set testCommand in settings.json.


License

GPL 3+. See LICENSE file.