# Unified Agent Integration - Complete Summary

## What Was Built

A complete integration of three major AI agent platforms into Claude Code CLI:

1. **Prometheus** - Python/LangGraph multi-agent code reasoning platform
2. **Every Code** - Rust/Codex fast terminal-based coding agent
3. **Dexto** - TypeScript agent harness/orchestration layer

## Delivered Components

### MCP Servers

| MCP Server | Language | Location | Status |
|------------|----------|----------|--------|
| Prometheus MCP | Python | `/tmp/prometheus-mcp-server/` | ✅ Complete |
| Every Code MCP | Python | `/tmp/everycode-mcp-server/` | ✅ Complete |
| Dexto MCP | TypeScript | `/tmp/dexto-mcp/` | ✅ Complete |

### Claude Code Skills

| Skill | Purpose | Location | Status |
|-------|---------|----------|--------|
| `/agent-plan` | Generate implementation plans | `.claude/skills/agents/plan.md` | ✅ Complete |
| `/agent-fix-bug` | Fix bugs end-to-end | `.claude/skills/agents/fix-bug.md` | ✅ Complete |
| `/agent-solve` | Solve complex problems | `.claude/skills/agents/solve.md` | ✅ Complete |
| `/agent-review` | Review code quality | `.claude/skills/agents/review.md` | ✅ Complete |
| `/agent-context` | Get code context | `.claude/skills/agents/context.md` | ✅ Complete |
| `/agent-orchestrate` | Orchestrate workflows | `.claude/skills/agents/orchestrate.md` | ✅ Complete |

### Documentation

| Document | Description | Location | Status |
|----------|-------------|----------|--------|
| README | Main documentation | `unified-agents/README.md` | ✅ Complete |
| COMPLETE-INTEGRATION | Full integration guide | `unified-agents/COMPLETE-INTEGRATION.md` | ✅ Complete |
| UNIFIED-INTEGRATION | Prometheus + Every Code | `unified-agents/UNIFIED-INTEGRATION.md` | ✅ Complete |
| INTEGRATION-DESIGN | Prometheus design | `prometheus/INTEGRATION-DESIGN.md` | ✅ Complete |

### Setup & Tools

| Component | Description | Location | Status |
|-----------|-------------|----------|--------|
| setup.sh | Automated installation script | `/tmp/unified-agents-setup.sh` | ✅ Complete |

### Ralph Auto-Integration

| Feature | Description | Location | Status |
|---------|-------------|----------|--------|
| Ralph config | Auto-trigger patterns | `~/.ralph/ralph.yml` | ✅ Complete |
| Auto-integration guide | Ralph + unified agents | `unified-agents/RALPH-AUTO-INTEGRATION.md` | ✅ Complete |

## File Tree

```
/home/uroma/.claude/skills/
├── unified-agents/
│   ├── README.md
│   ├── COMPLETE-INTEGRATION.md
│   ├── UNIFIED-INTEGRATION.md
│   ├── RALPH-AUTO-INTEGRATION.md
│   ├── SUMMARY.md
│   └── prometheus/
│       └── INTEGRATION-DESIGN.md
│
└── agents/
    ├── plan.md
    ├── fix-bug.md
    ├── solve.md
    ├── review.md
    ├── context.md
    └── orchestrate.md

/home/uroma/.ralph/
└── ralph.yml (updated with auto-trigger patterns)

/tmp/
├── prometheus-mcp-server/
│   ├── pyproject.toml
│   ├── README.md
│   └── prometheus_mcp/
│       ├── __init__.py
│       └── server.py
│
├── everycode-mcp-server/
│   ├── pyproject.toml
│   └── everycode_mcp/
│       ├── __init__.py
│       └── server.py
│
├── dexto-mcp/
│   ├── package.json
│   ├── tsconfig.json
│   └── src/
│       └── index.ts
│
└── unified-agents-setup.sh
```

## Key Features

### Intelligent Backend Routing

The integration automatically selects the best backend for each task:

```
Bug Fixing → Prometheus (deep code analysis)
Planning → Every Code (fast planning)
Orchestration → Dexto (workflow management)
Context → Prometheus (knowledge graph)
Review → Every Code (auto review)
```

### MCP Tool Capabilities

**Prometheus:**
- Knowledge graph queries via Neo4j
- AST-based code search
- Issue classification
- End-to-end bug fixing
- Regression testing

**Every Code:**
- Auto Drive orchestration
- Implementation planning
- Multi-agent problem solving
- Background code review
- Browser automation

**Dexto:**
- Custom agent creation
- Session management
- Workflow orchestration
- MCP client/server operations
- Memory management

## Installation

```bash
# Quick start
bash /tmp/unified-agents-setup.sh

# This will:
# 1. Clone all three repositories
# 2. Install dependencies
# 3. Build MCP servers
# 4. Configure Claude Code
# 5. Install skills
```

## Usage Examples

```bash
# Fix a bug
/agent-fix-bug "Login fails after password reset"

# Plan a feature
/agent-plan "Add real-time notifications"

# Solve a complex problem
/agent-solve "Optimize database queries"

# Review code
/agent-review

# Get context
/agent-context "How does authentication work?"

# Orchestrate workflow
/agent-orchestrate "Audit, fix, and test all issues"
```

## Ralph Auto-Integration

The unified agents are **automatically triggered** when using `/ralph` based on keyword patterns:

```bash
# Auto-triggers Prometheus
/ralph "fix the authentication bug"
/ralph "debug the failing test"
/ralph "run regression tests"

# Auto-triggers Every Code
/ralph "plan and implement user notifications"
/ralph "solve the slow database problem"
/ralph "review code quality"

# Auto-triggers Dexto
/ralph "orchestrate CI/CD pipeline setup"
/ralph "coordinate multi-agent refactoring"

# Multi-platform: All agents activate
/ralph "audit, fix, and test all security issues"
```

**Auto-Trigger Configuration:**
- **Prometheus**: "bug", "fix", "debug", "test", "regression"
- **Every Code**: "plan", "implement", "solve", "review", "automate"
- **Dexto**: "orchestrate", "coordinate", "workflow", "multi-step"

**Configuration File:** `~/.ralph/ralph.yml`
- Pattern-based auto-detection
- Intelligent agent selection
- Priority-based routing
- Multi-platform coordination

**Documentation:** [RALPH-AUTO-INTEGRATION.md](RALPH-AUTO-INTEGRATION.md)

## Architecture Summary

```
Claude Code CLI
    ↓
Unified Agent Skills
    ↓
Unified Agent MCP Server (Intelligent Router)
    ↓
┌─────────────┬─────────────┬─────────────┐
│ Prometheus  │ Every Code  │   Dexto     │
│             │             │             │
│ • Knowledge │ • Auto Drive│ • Harness   │
│ • Graph     │ • Browser   │ • MCP       │
│ • AST       │ • Multi     │ • Session   │
│ • Docker    │   Agent     │ • Tools     │
│ • LangGraph │             │             │
└─────────────┴─────────────┴─────────────┘
```

## Success Criteria

| Criterion | Status |
|-----------|--------|
| All three platforms analyzed | ✅ |
| MCP servers implemented | ✅ |
| Claude Code skills created | ✅ |
| Documentation complete | ✅ |
| Setup script provided | ✅ |
| Backend routing designed | ✅ |
| Installation guide provided | ✅ |
| Usage examples included | ✅ |
| **Ralph auto-integration** | ✅ |
| **Pattern-based triggers** | ✅ |
| **Intelligent routing** | ✅ |

## Next Steps for User

1. **Run Setup Script**
   ```bash
   bash /tmp/unified-agents-setup.sh
   ```

2. **Configure API Keys**
   - Edit `~/UnifiedAgents/Prometheus/.env`
   - Add OpenAI/Anthropic/Gemini API keys

3. **Authenticate Every Code**
   ```bash
   code
   # Follow prompts to sign in with ChatGPT
   ```

4. **Build Knowledge Graph** (optional, for Prometheus)
   ```bash
   cd ~/UnifiedAgents/Prometheus
   source venv/bin/activate
   python -m prometheus.script.build_kg --repo_path /path/to/repo
   ```

5. **Restart Claude Code**

6. **Start Using Skills**
   ```bash
   /agent-plan "Build a REST API for user management"
   /agent-fix-bug "Memory leak in image processing"
   /agent-solve "Optimize slow database queries"
   ```

7. **Use Ralph with Auto-Triggers**
   ```bash
   # Automatically uses Prometheus
   /ralph "fix the authentication bug"

   # Automatically uses Every Code
   /ralph "plan and implement notifications"

   # Automatically uses Dexto
   /ralph "orchestrate CI/CD pipeline"

   # Multi-platform coordination
   /ralph "audit, fix, and test security issues"
   ```

## Technical Details

### Prometheus MCP Server
- **Language**: Python 3.11+
- **Dependencies**: mcp, pydantic, neo4j, tree-sitter
- **Entry Point**: `prometheus_mcp.server:main`
- **Tools**: 9 (knowledge graph, file ops, agents)

### Every Code MCP Server
- **Language**: Python 3.11+
- **Dependencies**: mcp, pydantic, httpx, aiofiles
- **Entry Point**: `everycode_mcp.server:main`
- **Tools**: 8 (Auto Drive, plan, solve, review, browser)

### Dexto MCP Server
- **Language**: TypeScript
- **Dependencies**: @modelcontextprotocol/sdk, zod
- **Entry Point**: `dist/cli.js`
- **Tools**: 9 (agents, sessions, orchestration, MCP, memory)

## Platform Capabilities

### Prometheus
- ✅ Knowledge graph (Neo4j)
- ✅ AST parsing (Tree-sitter)
- ✅ Docker containers
- ✅ LangGraph state machines
- ✅ Multi-agent bug fixing
- ✅ Regression testing
- ✅ Documentation analysis

### Every Code
- ✅ Auto Drive orchestration
- ✅ Browser automation (CDP)
- ✅ Multi-CLI support
- ✅ Auto Review
- ✅ Fast native execution
- ✅ Theme system
- ✅ MCP support

### Dexto
- ✅ YAML-based agents
- ✅ Session management
- ✅ MCP client & server
- ✅ Tool orchestration
- ✅ Memory management
- ✅ Multi-agent workflows
- ✅ Custom agent creation

## License

All components are compatible with Apache-2.0 license.

## Support

For issues or questions:
1. Check the documentation in `unified-agents/`
2. Review troubleshooting sections
3. Check individual platform docs
4. Verify all prerequisites are installed

## Acknowledgments

- [Prometheus](https://github.com/EuniAI/Prometheus) - Knowledge graph code reasoning platform
- [Every Code](https://github.com/just-every/code) - Fast terminal-based coding agent
- [Dexto](https://github.com/truffle-ai/dexto) - Agent harness and orchestration layer
- [Claude Code](https://claude.com/claude-code) - AI CLI by Anthropic
