Matrixx

Matrixx is highly inspired by oh-my-opencode — the project that pioneered the "oh-my-zsh for OpenCode" concept. Full credit to code-yeongyu for the original vision.

Matrixx

Multi-model agent orchestration for OpenCode.
14 specialized agents. 64 lifecycle hooks. 22 tools. 36 skills. One plugin.

What is Matrixx?

OpenCode is a powerful open-source AI coding agent. Matrixx makes it smarter.

Instead of one model doing everything, Matrixx coordinates a team of specialists — each model doing what it does best, in parallel, with full context awareness. The right model for the right job, automatically.

You: "Add OAuth2 with PKCE to the API"
     ↓
Morpheus (Claude Opus)     → Plans the implementation
  ├─ Keymaker (GPT 5.3)    → Builds auth middleware + routes
  ├─ Oracle (Claude Sonnet 4.6)  → Reviews architecture in parallel
  └─ Sentinel (Sonnet 4.6) → Audits for security vulnerabilities
     ↓
     Done. Tested. Secure.

Why Matrixx?

Problem	Matrixx Solution
One model does everything poorly	14 specialists — right model for the right job
Agent forgets what it was doing	Task Continuation — `task-continuation-enforcer` (file-backed `.matrixx/tasks`, survives `/clear`, project-scoped) — forces completion
Slow sequential tool calls	Parallel background agents — 5+ running simultaneously
AI-generated code looks like AI	Comment Checker — code indistinguishable from human-written
Context window fills up fast	Aggressive delegation — subagents carry the load
Fragile refactoring	LSP + AST-Grep — deterministic, safe, surgical

The Magic Word

Don't want to read docs? Just type ultrawork (or ulw) in your prompt.

That's it. Parallel agents, background tasks, deep exploration, relentless execution until completion. The agent figures out the rest.

Quick Start

Prerequisites

Bun 1.4.0 — curl -fsSL https://bun.sh/install | bash
OpenCode ≥ 1.0.150 — https://opencode.ai/docs
Verify: bun --version && opencode --version

Install (Recommended)

bunx opencode-matrixx install

Or for non-interactive setup (CI/agents):

bunx opencode-matrixx install --no-tui --claude=yes --openai=yes --gemini=no --copilot=no

Verify Installation

bunx opencode-matrixx doctor
# No "fail" = good. "warn" for missing optional providers is expected.
# If doctor reports auth failures after login, update to latest: bunx opencode-matrixx@latest doctor

Troubleshooting installation issues? See Installation guide →.

Configure

Create matrixx.jsonc in your project root:

{
  "$schema": "https://raw.githubusercontent.com/klpanagi/opencode-matrixx/refs/heads/dev/dist/matrixx.schema.json",
  "agents": {}
}

Full example: See matrixx.example.jsonc — a fully annotated reference covering every configuration parameter (agents, categories, headroom, context-mode (external), DCP, RTK, security, tmux, assembly, evolution, and more) with inline comments and defaults. Copy the sections you need into your project .opencode/matrixx.jsonc or user ~/.config/opencode/matrixx.jsonc (both support JSONC comments). Full guide: Configuration → · Context Management (5 layers) →

Authenticate

opencode auth login   # follow prompts for each provider you have
bunx opencode-matrixx doctor --category authentication  # verify

Use

Open OpenCode and start coding. Matrixx activates automatically.

For LLM agents — paste this into Claude Code, AmpCode, Cursor, or any LLM agent:

Install and configure matrixx by following the instructions here:
https://raw.githubusercontent.com/klpanagi/opencode-matrixx/refs/heads/dev/docs/guide/installation.md

Installation guide → . Uninstall → . CLI reference →

CLI Reference

Matrixx includes a built-in CLI accessible via bunx opencode-matrixx <command>:

Command	Description
`install`	Interactive setup wizard (or `--no-tui` for CI/CD)
`doctor`	Environment diagnostics and health checks
`version`	Display version information

Doctor Checks

Category	What It Checks
installation	Plugin registration, OpenCode version
configuration	Config file validity (matrixx.jsonc)
authentication	Provider API key status (Anthropic, OpenAI, Google)
dependencies	Runtime deps: Bun, Node.js, Git, Python3
tools	Optional: ast-grep, Gitleaks, PyMuPDF, Playwright

Use --json for machine-readable output or --category <name> for a specific check.

The Agent Team

01. Morpheus — The Orchestrator

The one who sees the code for what it truly is.

Role: Master orchestrator and strategic coordinator

Model: Claude Opus 4.6 · temperature: 0.1

Plans, delegates, and executes. Fires background agents in parallel, leverages LSP and AST-Grep for surgical refactoring, and never stops until the task list is empty. Morpheus sees the code for what it truly is — and routes every task to the agent best suited for it.

02. Keymaker — The Craftsman

Give him a goal, not a recipe.

Role: Autonomous deep worker

Model: GPT 5.3 Codex · temperature: 0.1

Explores the codebase, matches your patterns, and delivers end-to-end. Keymaker doesn't need step-by-step instructions — give him a destination and he'll find the path, writing production-quality code along the way.

03. Cipher — The Language Architect

Grammars, parsers, and the art of formal languages.

Role: DSL engineering specialist

Model: Claude Sonnet 4.6 · temperature: 0.1

Grammars, parsers, type systems, code generators, metamodels. 11 composable skills covering textX, ANTLR4, tree-sitter, PyEcore, and more. If it involves defining a language or transforming code, Cipher is your specialist.

04. Sentinel — The Security Auditor

Reads every line. Changes nothing. Reports everything.

Role: Read-only security specialist

Model: Claude Sonnet 4.6 · temperature: 0.1

Scans for vulnerabilities but never touches code. OWASP Top 10, SAST, DAST, dependency CVEs, secret detection, crypto audit, infrastructure hardening. 9 composable security skills. Sentinel reports findings with CWE IDs, exact locations, and actionable remediation.

05. Sati — The Frontend Specialist

Crafts stunning UI/UX, even without design mockups.

Role: Frontend specialist

Model: Claude Sonnet 4.6 · temperature: 0.1

React/Next.js, Svelte/SvelteKit, accessibility, performance, design tokens, component architecture, build tooling. Sati ships production-grade UI work with browser verification via Playwright. Invoke directly with @sati/ or task(subagent_type="sati") for any non-trivial frontend task.

06. Oracle — The Plan Builder

Architecture demands precision. Oracle delivers it.

Role: Strategic planning, architecture decisions, work plan generation

Model: Claude Sonnet 4.6 · temperature: 0.1

Creates detailed, structured work plans from complex requests. Decomposes ambiguous requirements into atomic, verifiable steps with clear success criteria. Oracle builds the plan — Morpheus executes it.

07. Merovingian — The Consultant

High-IQ reasoning for problems that refuse to yield.

Role: High-IQ consultation, hard debugging, architecture design

Model: Claude Sonnet 4.6 · temperature: 0.1

Read-only consultation for hard debugging (after 2+ failed attempts), multi-system tradeoffs, and architecture decisions requiring deep reasoning. Merovingian analyzes — never implements.

08. Architect — The Master Orchestrator

Where plans become reality.

Role: Plan execution orchestrator, session coordination

Model: Claude Sonnet 4.6 · temperature: 0.1

Executes Oracle's work plans, coordinates session state, manages task dependencies, and ensures every phase completes before moving to the next. The Architect is the bridge between planning and shipping.

09. Seraph — The Pre-Planner

Sees what others miss before work begins.

Role: Pre-planning analysis, ambiguity detection, AI failure prevention

Model: Claude Opus 4.6 · temperature: 0.3

Analyzes requests to identify hidden intentions, ambiguities, scope creep, and AI failure points. Seraph intervenes before planning starts — preventing costly mistakes downstream.

10. Smith — The Validator

Every plan meets Smith's standards — or gets rewritten.

Role: Plan validation, completeness review, gap detection

Model: Claude Sonnet 4.6 · temperature: 0.1

Evaluates work plans against rigorous clarity, verifiability, and completeness standards. Catches gaps, ambiguities, and missing context before implementation begins. Smith is the last line of defense.

11. Operator — The Researcher

Finds what you need, where it lives.

Role: External documentation, OSS search, library research

Model: Claude Haiku 4.5 · temperature: 0.1

Specialized codebase understanding agent for multi-repository analysis, searching remote codebases, retrieving official documentation, and finding implementation examples using GitHub CLI, Context7, and Web Search.

12. Trinity — The Search Engine

Finds anything, anywhere, instantly.

Role: Blazing fast codebase grep, pattern discovery

Model: Claude Haiku 4.5 · temperature: 0.1

Contextual grep for codebases. Answers "Where is X?", "Which file has Y?", "Find the code that does Z". Fires multiple in parallel for broad searches. Quick, medium, or very thorough — you choose.

13. Construct — The Media Analyst

Sees what's inside — images, PDFs, diagrams.

Role: PDF, image & diagram analysis

Model: Claude Sonnet 4.6 · temperature: 0.1

Analyzes media files that require interpretation beyond raw text. Extracts specific information or summaries from documents, describes visual content. Use when you need analyzed/extracted data rather than literal file contents.

14. Mouse — The Task Executor

Small, fast, and disposable — the hands that do the work.

Role: Category-spawned delegated executor

Model: Claude Sonnet 4.6 · temperature: 0.1

Mouse is the worker layer in Matrixx's 3-tier architecture. Spawned automatically when you use task(category="..."), Mouse executes the task directly without delegating further. It cannot spawn sub-agents (task tool blocked) — implementation is always done in-house. Model-specific prompt variants optimize behavior for Claude, GPT, DeepSeek, Mimo, and Qwen.

Every agent, model, temperature, and permission is fully customizable. Meet the full team →

Features


Agent Orchestration	14 agents (incl. Mouse task executor, Sati frontend specialist, Sentinel security auditor, Cipher DSL expert), parallel background execution, category-based routing (`source`/`deep-jack`/…), session continuity, file-backed tasks
Developer Tools	LSP (goto def, rename, diagnostics), AST-Grep (search & replace), Tmux terminal
64 Lifecycle Hooks	Context injection, think mode, comment checking, task/todo continuation enforcement, error recovery, quality gate, preemptive compaction, session recovery
36 Built-in Skills	DSL engineering (11), security (9), browser, git, frontend (7 via Sati), BDD (4: `bdd-contract`/`backend`/`frontend`/`tests` + pipeline), saturation research, AI slop detection, TDD (`tdd-enforcer` opt-in), software dev pipeline
Curated MCPs	Exa (web search), Context7 (official docs), Grep.app (GitHub code search), Document Reader
Claude Code Compat	Full compatibility — commands, agents, skills, MCPs, hooks from `settings.json`
Software Dev Pipeline	6-phase TDD workflow (PLAN→BUILD→VERIFY→REVIEW→SECURE→SHIP), 5 team roles, adaptive phases

	Saturation Research
AI Slop Detection	remove-ai-slops skill detects and removes 7 categories of AI-generated code smells — verbose comments, redundant error handling, over-engineered patterns, generic AI phrasing, cargo-cult boilerplate
Context Management (L0-L4)	5-layer stack: Native + RTK + context-mode + DCP + Headroom — zero overlap, <10ms Matrixx bridge, 60-95% JSON via `CacheAligner→CCR`

Full feature list → · Configuration guide → · Architecture diagram →

Software Development Pipeline

Matrixx includes a structured 6-phase development pipeline that coordinates specialized roles through PLAN → BUILD → VERIFY → REVIEW → SECURE → SHIP. Each phase has clear entry/exit criteria and is enforced by dedicated agents.

Team Roles

Role	Agent	Skills	Purpose
Architect	Oracle (`claude-sonnet-4-6`)	—	System design, architecture decisions, plan (`/.matrixx/plans/*.md`) breakdown
Developer	`category="source"` (Mouse)	`git-master`, `tdd-enforcer` (opt-in `tdd_enforcer.enabled=true`)	Implementation — RED→GREEN→REFACTOR per task
Tester	`category="source"` (Mouse)	`tdd-enforcer`, `quality-gate`	Test authoring (`src/*/.test.ts`, `//#given//#when//#then`), coverage
Quality Evaluator	Red-pill category	`quality-gate`, `review-work`	Lint, typecheck, 5-agent code review
Security Expert	Sentinel (Claude Opus)	`security-core`, `security-sast`, `security-api`, `security-dependencies`	Vulnerability scanning, CVE checks

Pipeline Phases

Phase	Skip?	Role	Exit Criteria
PLAN	Small tasks	Architect (Oracle)	Approach defined, files listed, edge cases + test decision (`TDD/tests-after/none`) documented
BUILD	Never	Developer	TDD (RED→GREEN→REFACTOR), `bun test` passes
VERIFY	Never	Quality	`lint` + `typecheck` + `test` + `build` — all pass
REVIEW	Small tasks	Quality (5-agent)	All reviewers PASS, no CRITICAL/MAJOR issues
SECURE	Small + non-security	Security	No CRITICAL/HIGH findings, dependencies checked
SHIP	Never	Developer	Atomic commits, PR to dev, CI passes

Task Size Adaptivity

Size	Files	Phases Used
Small	1-2	BUILD → VERIFY → SHIP
Medium	3-10	PLAN → BUILD → VERIFY → REVIEW → SHIP
Large	10+	ALL 6 PHASES
Security-related	Any	Always includes SECURE

Load the software-dev skill to activate the pipeline. The orchestrator automatically selects the right roles and phases based on task scope.

Security

Matrixx includes a three-tier security layer: reactive hooks, configurable policies, and a dedicated security auditing agent.

Enforcement Hooks

Built-in hooks protect against accidental secret exposure — no setup required.

Hook	What it does
Secret Leak Guard	Intercepts `git commit` and `git push`, runs gitleaks on staged changes, and blocks the operation if secrets are detected.
Env File Write Guard	Blocks agents from writing to sensitive files (`.env`, `.pem`, `.key`, `credentials.json`, `id_rsa`, and 16 other patterns).

Both hooks are enabled by default and run before all other hooks in the execution pipeline. Configure via matrixx.jsonc:

{
  "security": {
    "secret_scanning": { "enabled": true, "block_on_detection": true },
    "env_file_guard": { "enabled": true, "allowed_paths": [".env.example"] }
  }
}

Note: Secret scanning requires gitleaks installed in your PATH. Without it, the hook silently degrades.

Sentinel — Security Auditing Agent

Sentinel is a read-only security specialist with 9 composable skills covering the full application security stack:

Skill	Domain
`security-core`	OWASP Top 10, CWE classification, threat modeling (STRIDE)
`security-secrets`	Secret detection, credential scanning, pre-commit hooks
`security-sast`	Static analysis, code vulnerability patterns, taint tracking
`security-dast`	Dynamic analysis, runtime testing, fuzzing, penetration testing
`security-dependencies`	CVE scanning, SBOM generation, supply chain security
`security-api`	Authentication, authorization, CORS/CSRF, input validation
`security-crypto`	Encryption audit, key management, TLS, password hashing
`security-infra`	Container scanning, Dockerfile hardening, IaC audit, K8s security
`security-review`	Structured audit reports, severity classification, remediation guidance

Sentinel never modifies code — it reports findings with CWE IDs, exact locations, and actionable remediation. Any agent can load individual security skills via load_skills.

RTK Integration — Token Compression

Matrixx integrates RTK for automatic bash command compression, reducing LLM token consumption by 60-90% on tool outputs.

What is RTK?

RTK is a Rust CLI binary that intelligently rewrites bash commands to compress their output before it reaches the LLM. It recognizes 70+ command patterns (git, npm, cargo, test runners, linters, build tools) and applies smart filtering, grouping, and deduplication strategies.

# Without RTK: 2000 tokens
$ git status
On branch main
Changes not staged for commit:
  modified:   src/config.ts
  modified:   src/hooks/index.ts
  ... (50 more lines)

# With RTK: 200 tokens
$ rtk git status
2 files changed: src/config.ts, src/hooks/index.ts

How It Works

The RTK hook intercepts bash commands before execution and rewrites them to use RTK's compression:

LLM requests: git status
RTK hook rewrites to: rtk git status
RTK binary executes and compresses output
Compressed output (60-90% smaller) reaches the LLM

The hook runs silently — no configuration needed beyond enabling it. RTK's pattern matching handles the rest.

Configuration

RTK is disabled by default (opt-in). Enable it in matrixx.jsonc:

{
  "rtk": {
    "enabled": true,
    "binary_path": "/usr/local/bin/rtk",  // optional — defaults to "rtk" in PATH
    "timeout_ms": 5000                     // optional — subprocess timeout
  }
}

Installation

Install RTK from rtk-ai/rtk:

# macOS
brew install rtk-ai/tap/rtk

# Linux (curl)
curl -fsSL https://raw.githubusercontent.com/rtk-ai/rtk/main/install.sh | bash

# Verify installation
rtk --version

Performance Impact

Metric	Value
Overhead	~10-20ms per bash command
Token savings	60-90% reduction on compressed commands
Net benefit	Significant for projects with frequent bash commands

The 10-20ms subprocess overhead is negligible compared to command execution time and LLM context savings.

Headroom Integration — Network-Proxy Compression

Deep dive: Context Management → 2.4 Headroom — full 5-layer guide with config reference, verification and troubleshooting.

Matrixx integrates Headroom for network-proxy-level token compression, reducing context by 60-95% on JSON, 15-20% on coding agents via CacheAligner→ContentRouter→CCR pipeline.

What is Headroom?

Headroom is a proxy + MCP provider that compresses history before it reaches the LLM. It intercepts the OpenAI-compatible provider headroom via @ai-sdk/openai-compatible and serves retrieval via headroom_retrieve.

# Without headroom: 50k tokens history
# Every turn ships full JSON + tool outputs

# With headroom wrap: 8k tokens (CCR + retrieval)
$ headroom wrap opencode
# CCR compresses; agents retrieve via headroom_retrieve on demand

Headroom is ideal for JSON-heavy sessions, long histories, and multi-project reuse where the same compressed context (CCR) can be shared.

How It Works

User runs headroom wrap opencode (starts proxy at http://127.0.0.1:8787)
Headroom MCP registers headroom_retrieve / headroom_stats
Matrixx detects hasHeadroom = availableTools.some(t => t.name.startsWith("headroom_")) and injects Headroom discipline into agent prompts
Proxy's CacheAligner→ContentRouter→CCR compresses; agents retrieve via headroom_retrieve on demand

Matrixx does not vendor Headroom. It provides a thin config bridge in src/config/schema/headroom.ts plus runtime detection. Native transport headroom-opencode is deferred to Phase 2.

Configuration

Headroom is disabled by default (opt-in). Enable it in matrixx.jsonc:

{
  "$schema": "https://raw.githubusercontent.com/klpanagi/opencode-matrixx/refs/heads/dev/dist/matrixx.schema.json",
  "headroom": {
    "enabled": true,                        // default: false — opt-in
    "proxyUrl": "http://127.0.0.1:8787",     // optional — defaults to proxy default
    "project": "my-project",                // optional — CCR scoping
    "backend": "openai"                     // optional — HEADROOM_BACKEND
  }
}

Option	Type	Default	Notes
`enabled`	boolean	`false`	Opt-in — no proxy/discipline unless `true`
`proxyUrl`	string (url)	`http://127.0.0.1:8787`	Proxy URL (`HEADROOM_PROXY_URL` override)
`project`	string	`undefined`	CCR scoping per project
`backend`	string	`undefined`	Maps to `HEADROOM_BACKEND`

Installation

Install Headroom from headroomlabs-ai/headroom:

# Install (pick one)
uv tool install headroom-ai[all]
# or
pipx install headroom-ai[all]

# Verify
headroom --version
headroom doctor

# Run via proxy (recommended)
headroom wrap opencode
# alternative — env wrapping
# HEADROOM_WRAP=1 headroom wrap -- opencode

# Dashboard
headroom dashboard

Package versions: npm: headroom-ai@0.37.0, PyPI: headroom-ai[all]. Docs at headroom-docs.vercel.app.

Note: Native TypeScript plugin headroom-opencode is deferred to Phase 2 due to #2798 global fetch patch collision and #76 compaction not yet stable. Prefer wrap for now.

Verification

After install, confirm Matrixx sees Headroom:

headroom doctor          # proxy health
headroom wrap opencode # should show: proxy http://127.0.0.1:8787

In OpenCode TUI, run headroom_stats (or headroom dashboard) — if the tool is listed, Matrixx injected Headroom discipline into Morpheus/Keymaker prompts.
Agents will use headroom_retrieve / headroom_search automatically — you don't call them manually. If headroom_* tools are absent, check matrixx.jsonc has headroom.enabled: true and restart OpenCode.

Usage

No code changes needed. Once headroom wrap opencode is running and headroom.enabled: true:

You keep using OpenCode normally (ultrawork, etc.).
Proxy compresses history out-of-process via CacheAligner→ContentRouter→CCR before it reaches the LLM.
Agents retrieve compressed slices on demand via headroom_retrieve (never re-read full history) and check stats via headroom_stats.
CCR is shared across projects — ideal for repeated JSON-heavy sessions.

To disable, set headroom.enabled: false or run OpenCode without headroom wrap.

Performance Impact

Metric	Value
Matrixx bridge overhead	~0ms (prompt-only; proxy out-of-process)
Proxy token savings	60-95% JSON, 15-20% coding agents
Complementarity	L4 orthogonal to L1 RTK + L2 context-mode + L3 DCP + L0 native (zero overlap)
Net benefit	Retrieval-on-demand reduces per-turn context; CCR shared across projects

5-Layer Complementarity

Layer	Owner	Mechanism	Reduction
L0 Native	Matrixx	70% warn, preemptive-compaction, anthropic-recovery	Prevents OOM
L1 RTK	RTK hook	Bash output compression	60-90% bash
L2 context-mode	context-mode plugin	FTS5 sandbox `ctx_*`	98% sandbox
L3 DCP	`@tarquinen/opencode-dcp`	Pruning tiers `economy→ultimate`	Tiered pruning
L4 Headroom	headroom proxy	`CacheAligner→ContentRouter→CCR`	60-95% JSON

Documentation


Overview	What Matrixx does, workflows, getting started
Agents Deep Dive	Full agent descriptions, skills, workflows, example prompts
Architecture	System diagrams, delegation flows, model routing
Features	Complete feature reference
Configuration	All config options, agent overrides, hooks, categories
Orchestration	How agents coordinate, delegate, and recover
Categories & Skills	Task categories, skill injection, delegation patterns
Context Management	5-layer context stack (Native, RTK, context-mode, DCP, Headroom) — setup, config, verification
Task System	File-backed execution substrate (`.matrixx/tasks/T-{uuid}.json`), dependency graph, `task-continuation-enforcer`
TDD	RED→GREEN→REFACTOR planning (Oracle) + enforcement (`tdd-enforcer` opt-in)

If this saves you time, a ⭐ goes a long way.

_{Productivity might spike too hard. Don't let your coworker notice. Actually — let's see who wins.}

Name		Name	Last commit message	Last commit date
.github		.github
assets		assets
bin		bin
demos		demos
docs		docs
script		script
src		src
tests		tests
uvscripts		uvscripts
.bun-version		.bun-version
.dockerignore		.dockerignore
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE.md		LICENSE.md
MIGRATION_PLAN.md		MIGRATION_PLAN.md
README.md		README.md
biome.json		biome.json
bun.lock		bun.lock
bunfig.toml		bunfig.toml
matrixx.example.jsonc		matrixx.example.jsonc
matrixx.jsonc		matrixx.jsonc
package.json		package.json
tsconfig.json		tsconfig.json

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Matrixx

What is Matrixx?

Why Matrixx?

The Magic Word

Quick Start

Prerequisites

Install (Recommended)

Verify Installation

Configure

Authenticate

Use

CLI Reference

Doctor Checks

The Agent Team

01. Morpheus — The Orchestrator

02. Keymaker — The Craftsman

03. Cipher — The Language Architect

04. Sentinel — The Security Auditor

05. Sati — The Frontend Specialist

06. Oracle — The Plan Builder

07. Merovingian — The Consultant

08. Architect — The Master Orchestrator

09. Seraph — The Pre-Planner

10. Smith — The Validator

11. Operator — The Researcher

12. Trinity — The Search Engine

13. Construct — The Media Analyst

14. Mouse — The Task Executor

Features

Software Development Pipeline

Team Roles

Pipeline Phases

Task Size Adaptivity

Security

Enforcement Hooks

Sentinel — Security Auditing Agent

RTK Integration — Token Compression

What is RTK?

How It Works

Configuration

Installation

Performance Impact

Headroom Integration — Network-Proxy Compression

What is Headroom?

How It Works

Configuration

Installation

Verification

Usage

Performance Impact

5-Layer Complementarity

Documentation

About

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Resources

Contributing

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Contributors

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