Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Project Orchestrator
AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.
skill openclawclawhub Free
AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.
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Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- AGENTS.md, CLAUDE.md, CONTRIBUTING.md, Cargo.toml, README.md, SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.0
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- reversTeam
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Documentation
Project Orchestrator
Coordinate multiple AI coding agents with a shared knowledge base.
Features
Multi-Project Support: Manage multiple codebases with isolated data Neo4j Knowledge Graph: Code structure, relationships, plans, decisions Meilisearch: Fast semantic search across code and decisions Tree-sitter: Precise code parsing for 12 languages Plan Management: Structured tasks with dependencies and constraints MCP Integration: 62 tools for Claude Code, OpenAI Agents, and Cursor
Documentation
Installation Guide Getting Started Tutorial API Reference MCP Tools Reference Integration Guides: Claude Code | OpenAI | Cursor
1. Start the backends
cd {baseDir} docker compose up -d neo4j meilisearch
2. Build and run the orchestrator
cargo build --release ./target/release/orchestrator serve Or with Docker: docker compose up -d
3. Sync your codebase
# Via CLI ./target/release/orch sync --path /path/to/project # Via API curl -X POST http://localhost:8080/api/sync \ -H "Content-Type: application/json" \ -d '{"path": "/path/to/project"}'
Create a project
# Create a new project curl -X POST http://localhost:8080/api/projects \ -H "Content-Type: application/json" \ -d '{ "name": "Embryon", "root_path": "/Users/triviere/projects/embryon", "description": "Neural network composition framework" }' # List all projects curl http://localhost:8080/api/projects # Sync a project curl -X POST http://localhost:8080/api/projects/embryon/sync # Search code within a project curl "http://localhost:8080/api/projects/embryon/code/search?q=tensor&limit=10"
Create a plan
orch plan create \ --title "Implement GPU Backend" \ --desc "Add Metal GPU support for neural network operations" \ --priority 10
Add tasks to the plan
orch task add \ --plan <plan-id> \ --desc "Implement MatMul Metal shader" orch task add \ --plan <plan-id> \ --desc "Add attention layer GPU support" \ --depends <task-1-id>
Get context for an agent
# JSON context orch context --plan <plan-id> --task <task-id> # Ready-to-use prompt orch context --plan <plan-id> --task <task-id> --prompt
Record decisions
orch decision add \ --task <task-id> \ --desc "Use shared memory for tile-based MatMul" \ --rationale "Better cache locality, 2x performance improvement"
Search past decisions
orch decision search "memory management GPU"
Projects (Multi-Project Support)
MethodPathDescriptionGET/api/projectsList all projectsPOST/api/projectsCreate a new projectGET/api/projects/{slug}Get project by slugDELETE/api/projects/{slug}Delete a projectPOST/api/projects/{slug}/syncSync project's codebaseGET/api/projects/{slug}/plansList project's plansGET/api/projects/{slug}/code/searchSearch code in project
Plans & Tasks
MethodPathDescriptionGET/healthHealth checkGET/api/plansList active plansPOST/api/plansCreate planGET/api/plans/{id}Get plan detailsPATCH/api/plans/{id}Update plan statusGET/api/plans/{id}/next-taskGet next available taskPOST/api/plans/{id}/tasksAdd task to planGET/api/tasks/{id}Get task detailsPATCH/api/tasks/{id}Update taskGET/api/plans/{plan}/tasks/{task}/contextGet task contextGET/api/plans/{plan}/tasks/{task}/promptGet generated promptPOST/api/tasks/{id}/decisionsAdd decisionGET/api/decisions/search?q=...Search decisions
Sync & Watch
MethodPathDescriptionPOST/api/syncSync directory to knowledge baseGET/api/watchGet file watcher statusPOST/api/watchStart watching a directoryDELETE/api/watchStop file watcherPOST/api/wakeAgent completion webhook
Code Exploration (Graph + Search)
MethodPathDescriptionGET/api/code/search?q=...Semantic code searchGET/api/code/symbols/{path}Get symbols in a fileGET/api/code/references?symbol=...Find all references to a symbolGET/api/code/dependencies/{path}Get file import/dependent graphGET/api/code/callgraph?function=...Get function call graphGET/api/code/impact?target=...Analyze change impactGET/api/code/architectureGet codebase overviewPOST/api/code/similarFind similar code snippetsGET/api/code/trait-impls?trait_name=...Find types implementing a traitGET/api/code/type-traits?type_name=...Find traits implemented by a typeGET/api/code/impl-blocks?type_name=...Get all impl blocks for a type
Auto-Sync with File Watcher
Keep the knowledge base updated automatically while coding: # Start watching a project directory curl -X POST http://localhost:8080/api/watch \ -H "Content-Type: application/json" \ -d '{"path": "/path/to/project"}' # Check watcher status curl http://localhost:8080/api/watch # Stop watching curl -X DELETE http://localhost:8080/api/watch The watcher automatically syncs .rs, .ts, .tsx, .js, .jsx, .py, .go files when modified. It ignores node_modules/, target/, .git/, __pycache__/, dist/, build/.
Code Exploration
Query the code graph instead of reading files directly: # Semantic search across code curl "http://localhost:8080/api/code/search?q=error+handling&language=rust&limit=10" # Get symbols in a file (functions, structs, etc.) curl "http://localhost:8080/api/code/symbols/src%2Flib.rs" # Find all references to a symbol curl "http://localhost:8080/api/code/references?symbol=AppState&limit=20" # Get file dependencies (imports and dependents) curl "http://localhost:8080/api/code/dependencies/src%2Fneo4j%2Fclient.rs" # Get call graph for a function curl "http://localhost:8080/api/code/callgraph?function=handle_request&depth=2&direction=both" # Analyze impact before changing a file curl "http://localhost:8080/api/code/impact?target=src/lib.rs&target_type=file" # Get architecture overview curl "http://localhost:8080/api/code/architecture" # Find similar code patterns curl -X POST http://localhost:8080/api/code/similar \ -H "Content-Type: application/json" \ -d '{"snippet": "async fn handle_error", "limit": 5}' # Find all types implementing a trait curl "http://localhost:8080/api/code/trait-impls?trait_name=Module" # Find all traits implemented by a type curl "http://localhost:8080/api/code/type-traits?type_name=Orchestrator" # Get all impl blocks for a type curl "http://localhost:8080/api/code/impl-blocks?type_name=Neo4jClient"
Getting context before starting work
# Fetch your task context curl http://localhost:8080/api/plans/$PLAN_ID/tasks/$TASK_ID/prompt
Recording decisions while working
curl -X POST http://localhost:8080/api/tasks/$TASK_ID/decisions \ -H "Content-Type: application/json" \ -d '{ "description": "Chose X over Y", "rationale": "Because..." }'
Notifying completion
curl -X POST http://localhost:8080/api/wake \ -H "Content-Type: application/json" \ -d '{ "task_id": "'$TASK_ID'", "success": true, "summary": "Implemented feature X", "files_modified": ["src/foo.rs", "src/bar.rs"] }'
Configuration
Environment variables: VariableDefaultDescriptionNEO4J_URIbolt://localhost:7687Neo4j connection URINEO4J_USERneo4jNeo4j usernameNEO4J_PASSWORDorchestrator123Neo4j passwordMEILISEARCH_URLhttp://localhost:7700Meilisearch URLMEILISEARCH_KEYorchestrator-meili-key-change-meMeilisearch API keyWORKSPACE_PATH.Default workspace pathSERVER_PORT8080Server portRUST_LOGinfoLog level
Architecture
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ ORCHESTRATOR API โ โ (localhost:8080) โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโ โผ โผ โผ โโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโ โ NEO4J โ โ MEILISEARCH โ โ TREE-SITTER โ โ (7687) โ โ (7700) โ โ (in-proc) โ โ โ โ โ โ โ โ โข Code graph โ โ โข Code search โ โ โข AST parsing โ โ โข Plans โ โ โข Decisions โ โ โข Symbols โ โ โข Decisions โ โ โข Logs โ โ โข Complexity โ โ โข Relations โ โ โ โ โ โโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโ
Development
# Run tests cargo test # Run with debug logging RUST_LOG=debug cargo run -- serve # Format code cargo fmt # Lint cargo clippy
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs1 Files
- SKILL.md
- AGENTS.md
- CLAUDE.md
- CONTRIBUTING.md
- README.md
- Cargo.toml