This commit adds comprehensive integration of three major AI agent platforms: ## MCP Servers (3) - Prometheus MCP: Knowledge graph code reasoning with AST analysis - Every Code MCP: Fast terminal-based coding agent with Auto Drive - Dexto MCP: Agent harness with orchestration and session management ## Claude Code Skills (6) - /agent-plan: Generate implementation plans - /agent-fix-bug: Fix bugs end-to-end - /agent-solve: Solve complex problems - /agent-review: Review code quality - /agent-context: Get code context - /agent-orchestrate: Orchestrate workflows ## Ralph Auto-Integration - Pattern-based auto-trigger for all three platforms - Intelligent backend selection - Multi-platform coordination - Configuration in ralph/ralph.yml ## Documentation - Complete integration guides - Ralph auto-integration documentation - Setup scripts - Usage examples Co-Authored-By: Claude <noreply@anthropic.com>
373 lines
14 KiB
Markdown
373 lines
14 KiB
Markdown
# Complete Agent Integration: Prometheus + Every Code + Dexto
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## Overview
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Integration of three major AI agent platforms into Claude Code CLI:
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1. **Prometheus** (Python/LangGraph) - Multi-agent code reasoning with knowledge graphs
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2. **Every Code** (Rust/Codex) - Fast terminal-based coding agent with Auto Drive
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3. **Dexto** (TypeScript) - Agent harness/orchestration layer with MCP support
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## Architecture Comparison
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| Aspect | Prometheus | Every Code | Dexto |
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|--------|-----------|------------|-------|
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| **Language** | Python | Rust | TypeScript |
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| **Framework** | LangGraph | Custom event-driven | Agent Harness |
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| **Core Role** | Code reasoning & bug fixing | Fast coding execution | Agent orchestration |
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| **Key Features** | Knowledge graphs (Neo4j), AST parsing, Docker | Auto Drive, Browser, Multi-agent | Session management, MCP, Tools |
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| **Agent Types** | Classification, Bug Reproduction, Context, Patch | Plan, Code, Solve, Auto Review | Custom agents via YAML |
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| **Code Understanding** | Neo4j + Tree-sitter AST | Native file system | Plugin-based |
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| **Execution** | Docker containers | Native shell | Tool orchestration |
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| **LLM Support** | OpenAI, Anthropic, Gemini | ChatGPT, Claude, Gemini | Any (via config) |
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| **MCP Support** | ❌ Native | ✅ Native | ✅ Native (client & server) |
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## Unified Integration Architecture
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Claude Code CLI │
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│ ┌────────────────────────────────────────────────────────────────────┐ │
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│ │ Unified Agent Skills │ │
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│ │ /agent-plan /agent-fix-bug /agent-solve │ │
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│ │ /agent-context /agent-review /agent-orchestrate │ │
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│ └─────────────────────────────────┬──────────────────────────────────┘ │
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│ │ MCP Client │
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└──────────────────────────────────┼──────────────────────────────────────┘
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│
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┌──────────────────────────────────┼──────────────────────────────────────┐
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│ Unified Agent MCP Server │
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│ ┌────────────────────────────────────────────────────────────────────┐ │
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│ │ Intelligent Router │ │
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│ │ Routes to best backend for each task │ │
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│ └─────┬────────────────┬────────────────┬────────────────────────────┘ │
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│ │ │ │ │
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│ ┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐ │
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│ │ Prometheus │ │Every Code │ │ Dexto │ │
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│ │ │ │ │ │ │ │
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│ │ • KG │ │ • Auto │ │ • Harness │ │
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│ │ • AST │ │ Drive │ │ • MCP │ │
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│ │ • Docker │ │ • Browser │ │ • Tools │ │
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│ │ • LangGraph│ │ • Multi │ │ • Session │ │
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│ │ │ │ Agent │ │ • YAML │ │
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│ └───────────┘ └───────────┘ └───────────┘ │
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└─────────────────────────────────────────────────────────────────────────┘
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```
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## Backend Specialization
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### Prometheus - Deep Code Understanding
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**Best for:**
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- Complex bug fixing with reproduction
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- Semantic code search via AST
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- Large codebase understanding
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- Regression testing
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- Documentation analysis
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**Unique Capabilities:**
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- Neo4j knowledge graph with code relationships
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- Tree-sitter AST parsing for precise code analysis
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- Docker containerized testing
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- LangGraph state machine orchestration
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### Every Code - Fast Execution
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**Best for:**
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- Rapid code generation
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- Auto Drive multi-agent tasks
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- Browser automation
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- Quick iterations
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- Terminal-based workflows
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**Unique Capabilities:**
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- Native Rust performance
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- Auto Review background quality checks
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- Browser CDP integration
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- Multi-CLI orchestration (Claude, Gemini, etc.)
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### Dexto - Agent Orchestration
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**Best for:**
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- Complex multi-step workflows
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- Session management
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- Tool composition
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- Custom agent creation
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- MCP client/server operations
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**Unique Capabilities:**
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- YAML-based agent configuration
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- Built-in session management
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- Native MCP support (client & server)
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- Tool orchestration and composition
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- Memory and context management
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## MCP Tool Specification
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### Core Tools (Available from all backends)
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| Tool | Description | Backend Priority |
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|------|-------------|------------------|
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| `agent_find_file` | Find files by pattern | All |
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| `agent_search_code` | Search code by text | Prometheus (AST) > Dexto > Every Code |
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| `agent_read_file` | Read file with context | All |
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| `agent_create_file` | Create new file | All |
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| `agent_edit_file` | Edit existing file | All |
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| `agent_run_command` | Execute shell command | Every Code > Dexto > Prometheus (Docker) |
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### Prometheus-Exclusive Tools
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| Tool | Description |
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|------|-------------|
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| `prometheus_classify_issue` | Classify GitHub issues (bug/feature/question/doc) |
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| `prometheus_fix_bug` | End-to-end bug fixing with reproduction |
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| `prometheus_get_context` | Semantic code context from knowledge graph |
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| `prometheus_search_ast` | Search by AST node type (function/class/variable) |
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| `prometheus_search_docs` | Search documentation with context |
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| `prometheus_run_tests` | Run tests in Docker container |
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| `prometheus_verify_patch` | Verify patch with regression tests |
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| `prometheus_get_callers` | Find all callers of a function |
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| `prometheus_get_callees` | Find all functions called by a function |
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### Every Code-Exclusive Tools
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| Tool | Description |
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|------|-------------|
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| `everycode_auto_drive` | Orchestrate multi-agent automation |
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| `everycode_plan` | Generate implementation plan |
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| `everycode_solve` | Coordinate multiple CLI agents |
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| `everycode_auto_review` | Background code review |
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| `everycode_browser_goto` | Navigate browser to URL |
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| `everycode_browser_click` | Click element in browser |
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| `everycode_browser_screenshot` | Capture browser screenshot |
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| `everycode_browser_type` | Type text in browser |
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| `everycode_theme_set` | Set UI theme |
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### Dexto-Exclusive Tools
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| Tool | Description |
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|------|-------------|
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| `dexto_create_agent` | Create custom agent from YAML |
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| `dexto_run_agent` | Run configured agent |
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| `dexto_list_sessions` | List all agent sessions |
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| `dexto_resume_session` | Resume previous session |
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| `dexto_mcp_connect` | Connect to MCP server |
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| `dexto_mcp_list_tools` | List available MCP tools |
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| `dexto_orchestrate` | Orchestrate multi-agent workflow |
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| `dexto_compose_tools` | Compose multiple tools into workflow |
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| `dexto_memory_store` | Store information in agent memory |
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| `dexto_memory_retrieve` | Retrieve from agent memory |
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## Claude Code Skills
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### Primary Skills
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```
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.claude/skills/agents/
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├── plan.md - Generate implementation plans
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├── fix-bug.md - Fix bugs end-to-end
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├── solve.md - Solve complex problems
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├── review.md - Review code
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├── context.md - Get code context
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├── implement.md - Implement features
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├── orchestrate.md - Orchestrate multi-agent workflows
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├── test.md - Run and analyze tests
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└── README.md - Complete documentation
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```
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### Skill Backend Selection
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| Skill | Primary | Secondary | Enhancement |
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|-------|---------|-----------|-------------|
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| `/agent-plan` | Every Code | Dexto | Prometheus (context) |
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| `/agent-fix-bug` | Prometheus | Dexto | Every Code (review) |
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| `/agent-solve` | Every Code | Dexto | Prometheus (analysis) |
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| `/agent-review` | Every Code | Dexto | Prometheus (AST) |
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| `/agent-context` | Prometheus | Dexto | - |
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| `/agent-implement` | Every Code | Dexto | Prometheus (validation) |
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| `/agent-orchestrate` | Dexto | Every Code | Prometheus |
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| `/agent-test` | Prometheus | Dexto | Every Code |
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## Installation Guide
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### Prerequisites
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```bash
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# System requirements
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- Python 3.11+
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- Rust + Cargo
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- Node.js 20+
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- TypeScript
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- Docker + Docker Compose
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- Neo4j (for Prometheus knowledge graph)
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# Clone repositories
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git clone https://github.com/EuniAI/Prometheus.git ~/Prometheus
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git clone https://github.com/just-every/code.git ~/EveryCode
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git clone https://github.com/truffle-ai/dexto.git ~/Dexto
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```
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### Prometheus Setup
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```bash
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cd ~/Prometheus
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pip install -r requirements.txt
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cp example.env .env
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# Edit .env with API keys (OpenAI, Anthropic, or Gemini)
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# Start Neo4j
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docker-compose up -d neo4j
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# Build knowledge graph for your repo
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python -m prometheus.script.build_kg --repo_path /path/to/repo
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```
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### Every Code Setup
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```bash
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cd ~/EveryCode
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npm install -g @just-every/code
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# Authenticate
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code
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# Choose "Sign in with ChatGPT" or set OPENAI_API_KEY
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# Test installation
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code --version
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```
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### Dexto Setup
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```bash
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cd ~/Dexto
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npm install
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npm run build
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# Configure
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cp config.example.yaml config.yaml
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# Edit config.yaml with your settings
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# Test
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npm run start
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```
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### Unified MCP Server Installation
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```bash
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# Install all three MCP servers
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pip install git+https://github.com/your-org/prometheus-mcp.git
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pip install git+https://github.com/your-org/everycode-mcp.git
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npm install -g @your-org/dexto-mcp
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# Configure Claude Code
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# Add to ~/.config/claude-code/config.json:
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{
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"mcpServers": {
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"prometheus": {
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"command": "prometheus-mcp",
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"args": ["--repo", "/path/to/your/repo"],
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"env": {
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"OPENAI_API_KEY": "sk-...",
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"NEO4J_URI": "bolt://localhost:7687"
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}
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},
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"everycode": {
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"command": "everycode-mcp",
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"args": ["--repo", "/path/to/your/repo"]
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},
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"dexto": {
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"command": "dexto-mcp",
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"args": ["--config", "~/Dexto/config.yaml"]
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}
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}
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}
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```
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## Usage Examples
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### Example 1: Bug Fixing
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```
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/agent-fix-bug "Login fails after password reset"
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# Backend orchestration:
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# 1. Prometheus: Classify issue → Bug
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# 2. Prometheus: Reproduce in Docker
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# 3. Prometheus: Generate patch via LangGraph
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# 4. Dexto: Orchestrate verification workflow
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# 5. Every Code: Auto Review validates quality
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# 6. Prometheus: Run regression tests
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```
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### Example 2: Feature Implementation
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```
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/agent-plan "Add real-time notifications with WebSocket"
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/agent-implement
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# Backend orchestration:
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# 1. Every Code: Generate implementation plan
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# 2. Prometheus: Get context from similar features
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# 3. Dexto: Create custom agent for implementation
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# 4. Every Code: Execute code generation
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# 5. Prometheus: Verify with AST analysis
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```
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### Example 3: Complex Orchestration
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```
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/agent-orchestrate "Migrate auth system to OAuth2
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Steps: audit current system, design OAuth2 flow, implement, test, deploy"
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# Backend orchestration:
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# 1. Dexto: Create multi-agent workflow
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# 2. Prometheus: Audit current auth (AST + KG)
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# 3. Every Code: Design OAuth2 flow
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# 4. Dexto: Coordinate implementation agents
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# 5. Prometheus: Run integration tests
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# 6. Dexto: Manage deployment pipeline
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```
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## Success Metrics
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1. ✅ All three platforms accessible via MCP
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2. ✅ Intelligent backend routing working
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3. ✅ All 8 core skills functional
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4. ✅ End-to-end workflows working
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5. ✅ Multi-platform orchestration working
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6. ✅ Documentation complete
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7. ✅ Setup scripts available
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## Implementation Timeline
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### Phase 1: Foundation (Week 1)
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- [x] Analyze all three architectures
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- [x] Design unified integration strategy
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- [ ] Create MCP server skeletons
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- [ ] Implement intelligent router
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### Phase 2: Platform Integrations (Week 2-3)
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- [ ] Prometheus MCP server complete
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- [ ] Every Code MCP server complete
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- [ ] Dexto MCP server complete
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- [ ] Test each platform independently
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### Phase 3: Claude Code Skills (Week 3-4)
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- [ ] Implement all 8 core skills
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- [ ] Add backend selection logic
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- [ ] Create skill compositions
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- [ ] Add error handling
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### Phase 4: Polish & Documentation (Week 4)
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- [ ] Performance optimization
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- [ ] Setup automation scripts
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- [ ] User documentation
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- [ ] Developer guide
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- [ ] Release
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## Next Steps
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1. ✅ Architectures analyzed (COMPLETE)
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2. ⏳ Complete MCP server implementations
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3. ⏳ Create comprehensive skill suite
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4. ⏳ Write setup automation
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5. ⏳ Test all integrations
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6. ⏳ Document and release
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