The design principle: write tools once, run everywhere. AI models already have their strengths—code generation, reasoning, analysis. The bottleneck is orchestration, state management, and platform integration. This architecture handles those parts so the models can do what they're good at.
| Section | Jump to |
|---|---|
| Overview | Platform support |
| Architecture | Directory structure |
| Cross-Platform Library | Shared utilities |
| State Directories | Where state lives |
| Core Capabilities | Command reference |
| Platform Details | Per-platform setup |
| Knowledge Base | Research docs |
AgentSys supports five AI coding assistants through a unified architecture:
- Claude Code - Anthropic's official CLI (primary target)
- OpenCode - Multi-model AI coding assistant
- Codex CLI - OpenAI's command-line interface
- Cursor - AI-native code editor
- Kiro - Amazon's agentic IDE
npm install -g agentsys
agentsys
# Select platforms: 1,2,3 for allagentsys/
├── lib/ # Shared library (vendored to plugin repos via agent-core sync)
│ ├── cross-platform/ # Platform utilities
│ │ ├── index.js # Platform detection, MCP helpers
│ │ └── RESEARCH.md # Research documentation
│ ├── enhance/ # Quality analyzers (agent, plugin, docs, hooks, skills)
│ ├── perf/ # Performance investigation workflow
│ ├── patterns/ # Code analysis
│ │ ├── pipeline.js # 3-phase slop detection
│ │ ├── slop-patterns.js # Pattern definitions
│ │ └── slop-analyzers.js # Multi-pass analyzers
│ ├── state/ # Workflow state
│ └── sources/ # Task source discovery
├── bin/ # CLI installer
│ └── cli.js # Interactive installer (fetches plugins from GitHub)
├── .claude-plugin/
│ └── marketplace.json # Plugin registry (name, repo, requires)
├── meta/
│ └── skills/
│ └── maintain-cross-platform/ # Cross-platform compatibility skill
│ └── SKILL.md
├── scripts/
│ ├── setup-hooks.js # Git hooks installer (npm prepare)
│ └── graduate-plugin.js # Extract a plugin to a new standalone repo
├── docs/ # User documentation
│ ├── CROSS_PLATFORM.md
│ ├── INSTALLATION.md
│ └── USAGE.md
└── agent-docs/ # Knowledge base (research)
├── KNOWLEDGE-LIBRARY.md # Index
└── *-REFERENCE.md # Research documents
NOTE: plugins/ has been removed. All 19 plugins are now standalone repos
under the agent-sh org. The installer fetches them from GitHub at install time.
Plugin repos: agent-sh/{next-task,prepare-delivery,gate-and-ship,ship,deslop,
audit-project,enhance,perf,drift-detect,sync-docs,repo-intel,
learn,consult,debate,agnix,web-ctl,skillers,onboard,can-i-help}
Provides unified utilities for all platforms:
const { xplat } = require('agentsys/lib');
// Platform detection
xplat.detectPlatform(); // 'claude-code' | 'opencode' | 'codex-cli'
xplat.getStateDir(); // '.claude' | '.opencode' | '.codex'
// MCP response helpers
xplat.successResponse({ data: 'result' });
xplat.errorResponse('Something failed', { details: '...' });
// Tool schema creation
xplat.createToolDefinition('my_tool', 'Description', { param: { type: 'string' } });
// Prompt formatting (cross-model compatible)
xplat.formatBlock('context', 'XML tags for Claude');
xplat.formatSection('Title', 'Markdown for GPT-4');| Platform | State Directory | Override |
|---|---|---|
| Claude Code | .claude/ |
AI_STATE_DIR=.claude |
| OpenCode | .opencode/ |
AI_STATE_DIR=.opencode |
| Codex CLI | .codex/ |
AI_STATE_DIR=.codex |
State files:
{state-dir}/tasks.json- Active task registry{state-dir}/flow.json- Workflow progress (in worktree){state-dir}/sources/preference.json- Cached task source{state-dir}/repo-map.json- Cached symbol map (generated by agent-analyzer)
The package provides these capabilities through commands, agents, and skills:
| Capability | Command | Description |
|---|---|---|
| Workflow orchestration | /next-task |
Task discovery through PR merge |
| Pre-ship quality gates | /prepare-delivery |
Deslop, review, validation, docs sync |
| Quality gates + ship | /gate-and-ship |
/prepare-delivery + /ship combined |
| PR workflow | /ship |
Commit, push, CI monitor, merge |
| Versioned release | /release |
Release with automatic ecosystem detection |
| Code quality | /deslop |
AI slop detection and cleanup |
| Enhancement | /enhance |
Analyze plugins, agents, docs, prompts |
| Performance | /perf |
Performance investigation workflow |
| Repo intel | /repo-intel |
Unified static analysis - git history, AST symbols, project metadata |
| Documentation | /sync-docs |
Sync docs with code changes |
| Drift detection | /drift-detect |
Plan vs implementation analysis |
| Code review | /audit-project |
Multi-agent code review |
| Config linting | /agnix |
Lint agent configurations (342 rules) |
| Research | /learn |
Research topics, create learning guides |
| AI consultation | /consult |
Cross-tool AI consultation |
| AI debate | /debate |
Structured debate between AI tools |
| Browser automation | /web-ctl |
Browser automation for AI agents |
| Workflow learning | /skillers |
Workflow pattern learning and automation |
| Onboarding | /onboard |
Codebase orientation for newcomers |
| Contributor guidance | /can-i-help |
Match contributor skills to project needs |
Slop detection uses the full 3-phase pipeline:
- Phase 1: Regex patterns (HIGH certainty)
- Phase 2: Multi-pass analyzers (MEDIUM certainty)
- Phase 3: CLI tools (LOW certainty, optional)
# Via marketplace (recommended)
/plugin marketplace add agent-sh/agentsys
/plugin install next-task@agentsys
# Via CLI installer
agentsys # Select option 1Location: ~/.claude/plugins/agentsys/
Commands: /next-task, /prepare-delivery, /gate-and-ship, /ship, /release, /deslop, /audit-project, /drift-detect, /repo-intel, /enhance, /perf, /sync-docs, /agnix, /learn, /consult, /debate, /web-ctl, /skillers, /onboard, /can-i-help
agentsys # Select option 2Locations:
- Commands:
~/.config/opencode/commands/ - Agents:
~/.config/opencode/agents/ - Skills:
~/.config/opencode/skills/ - Native plugin:
~/.config/opencode/plugins/agentsys.ts
Commands: /next-task, /prepare-delivery, /gate-and-ship, /ship, /release, /deslop, /audit-project, /drift-detect, /repo-intel, /enhance, /perf, /sync-docs, /agnix, /learn, /consult, /debate, /web-ctl, /skillers, /onboard, /can-i-help
Native Plugin Features:
- Auto-thinking selection per agent
- Workflow enforcement
- Session compaction
agentsys # Select option 3Locations:
- Config:
~/.codex/config.toml - Skills:
~/.codex/skills/
Skills: $next-task, $prepare-delivery, $gate-and-ship, $ship, $release, $deslop, $audit-project, $drift-detect, $repo-intel, $enhance, $perf, $sync-docs, $agnix, $learn, $consult, $debate, $web-ctl, $skillers, $onboard, $can-i-help
Internal skill: orchestrate-review (Phase 9 review pass definitions used by /next-task and /audit-project)
Note: Codex uses $ prefix instead of /.
SKILL.md Format:
---
name: next-task
description: Master workflow orchestrator for task-to-production automation
---
[skill content]| Command | Claude Code | OpenCode | Codex CLI | Notes |
|---|---|---|---|---|
/next-task |
[OK] Full | [OK] Full | [OK] Full | Master workflow |
/prepare-delivery |
[OK] Full | [OK] Full | [OK] Full | Pre-ship quality gates |
/gate-and-ship |
[OK] Full | [OK] Full | [OK] Full | /prepare-delivery + /ship |
/ship |
[OK] Full | [OK] Full | [OK] Full | Requires gh CLI |
/release |
[OK] Full | [OK] Full | [OK] Full | Versioned release |
/deslop |
[OK] Full | [OK] Full | [OK] Full | Uses pipeline.js |
/audit-project |
[OK] Full | [OK] Full | [OK] Full | Multi-agent review |
/drift-detect |
[OK] Full | [OK] Full | [OK] Full | JS collectors + Opus |
/repo-intel |
[OK] Full | [OK] Full | [OK] Full | Unified static analysis |
/enhance |
[OK] Full | [OK] Full | [OK] Full | Orchestrates all enhancers |
/perf |
[OK] Full | [OK] Full | [OK] Full | Performance investigations |
/sync-docs |
[OK] Full | [OK] Full | [OK] Full | Documentation sync |
/agnix |
[OK] Full | [OK] Full | [OK] Full | Requires agnix CLI |
/learn |
[OK] Full | [OK] Full | [OK] Full | Research and learning |
/consult |
[OK] Full | [OK] Full | [OK] Full | Cross-tool consultation |
/debate |
[OK] Full | [OK] Full | [OK] Full | Multi-round AI debate |
/web-ctl |
[OK] Full | [OK] Full | [OK] Full | Browser automation |
/skillers |
[OK] Full | [OK] Full | [OK] Full | Workflow pattern learning |
/onboard |
[OK] Full | [OK] Full | [OK] Full | Codebase orientation |
/can-i-help |
[OK] Full | [OK] Full | [OK] Full | Contributor guidance |
Research documents informing the implementation (in agent-docs/):
| Document | Topic |
|---|---|
CONTEXT-OPTIMIZATION-REFERENCE.md |
Token efficiency strategies |
PROMPT-ENGINEERING-REFERENCE.md |
Cross-model prompt design |
FUNCTION-CALLING-TOOL-USE-REFERENCE.md |
MCP and tool patterns |
MULTI-AGENT-SYSTEMS-REFERENCE.md |
Agent orchestration |
LLM-INSTRUCTION-FOLLOWING-RELIABILITY.md |
Instruction adherence |
CLAUDE-CODE-REFERENCE.md |
Claude Code specifics |
AI-AGENT-ARCHITECTURE-RESEARCH.md |
Agent design patterns |
KNOWLEDGE-LIBRARY.md |
Index and overview |
lib/cross-platform/RESEARCH.md |
Platform comparison |
- CLI installer (
bin/cli.js) - MCP server with pipeline integration
- Cross-platform library (
lib/cross-platform/) - Platform-aware state directories
- Knowledge base documentation
- Claude Code (marketplace + CLI)
- OpenCode (MCP + commands)
- Codex CLI (MCP + skills)
- All 3,445+ tests passing
- npm pack creates valid package (~400 KB)
- Interactive installer works for all platforms
Update workflow:
- Edit files in
lib/(canonical source in this repo) - Push to main — agent-core sync pipeline automatically opens PRs in all 19 plugin repos
- Merge those PRs in each plugin repo
- Publish agentsys:
npm version patch && npm publish
To extract a new plugin to its own repo:
node scripts/graduate-plugin.js <plugin-name>User update:
npm update -g agentsys
agentsys # Re-run installerMCP (Model Context Protocol) provides:
- Standardized tool interface across platforms
- No format translation needed
- Single implementation, multiple consumers
- Platform-specific env vars for state isolation
Each plugin repo needs its own lib/ copy because Claude Code installs plugins separately and cannot share code across plugin boundaries. The agent-core sync pipeline (CI-driven) propagates lib/ changes to all plugin repos automatically whenever main is updated.
The knowledge base documents best practices from official sources, ensuring the implementation follows recommended patterns for each platform.