Roblox/Luau AI orchestration system for codebase understanding and scoped edit generation
Project description
Roblox/Luau AI Orchestration System
A Python orchestration layer that maintains hierarchical memory of a Rojo/Luau codebase, assembles compact context packets, and dispatches Gemini CLI workers for scoped code edits.
Quick Start
cd orchestrator
pip install -e ".[dev]"
# Ingest a Rojo project
python -m app.main ingest C:\path\to\your\rojo\project
# Generate memory summaries
python -m app.main summarize --repo-id 1
# Request an edit
python -m app.main edit "Add error handling to the data save module" --repo-id 1 --scope DataManager --side server
# Validate a patch
python -m app.main validate --task-id 1
# Check live Studio state (uncertainty-triggered)
python -m app.main check ui_existence StarterGui.ScreenGui.MainHUD
# View system status
python -m app.main status
# Enter the interactive REPL (Rorchestra)
python -m app.rochester
# Inside the REPL, you can use:
# /edit "description" -> Propose an edit
# /apply <id> -> Apply a patch and rebuild memory cascade
# /mcp -> Check connected MCP servers and statuses
Architecture
| Layer | Purpose |
|---|---|
| Adapters | Rojo, luau-lsp, Gemini CLI, MCP dispatcher |
| Services | Ingest, graph, memory, summarization, packets, workers, validation, MCP |
| Policies | Safety gates, MCP trigger policy |
| Telemetry | JSONL event log |
| Storage | SQLite (ORM), file-based artifact store |
MCP Integration
Uses a canonical capability dispatcher that routes through:
- Primary: Official Roblox Studio MCP
- Fallback: Community robloxstudio-mcp (filtered toolset)
Raw MCP output is stored out-of-band in artifacts/mcp_raw/ — never injected into planner context.
Memory Model
Memory records are invalidation-driven, not time-based. A record is only stale when its source files change:
- Accepted patches trigger
invalidate_by_file() - Stale scopes are re-summarised on demand via
summarize
Requirements
- Python 3.11+
- Rojo (on PATH)
- luau-lsp (optional, for static validation)
- Gemini CLI (for worker invocations and summarisation)
Project details
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