docs(conductor): Synchronize docs for track 'Beads Mode Integration'

conductor/product.md

@@ -44,6 +44,11 @@ For deep implementation details when planning or implementing tracks, consult `d
 - **Strict Memory Siloing:** Employs tree-sitter AST-based interface extraction (Skeleton View, Curated View, and Targeted View) and "Context Amnesia" to provide workers only with the absolute minimum context required. Supports **Python, C, and C++** languages for structural extraction. Features an intelligent context aggregation engine utilizing **Hash-Based Caching (SHA256)** and LRU eviction to eliminate redundant processing. Employs **Tier-Level Aggregation Strategies** (`full`, `summarize`, `skeleton`) configured directly via Agent Personas, integrating high-tier AI sub-agents during the aggregation pass to generate succinct, high-signal summaries for both code and text files. Includes **Manual Skeleton Context Injection**, allowing developers to preview and manually inject file skeletons or full content into discussions via a dedicated GUI modal. Features multi-level dependency traversal and AST caching to minimize re-parsing overhead and token burn.
 - **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution, supported by a global "Linear Execution Clutch" for deterministic debugging.
 - **Parallel Multi-Agent Execution:** Executes multiple AI workers in parallel using a non-blocking execution engine and a dedicated `WorkerPool`. Features configurable concurrency limits (defaulting to 4) to optimize resource usage and prevent API rate limiting.
+- **Beads Mode Integration:** Supports [Beads](https://github.com/steveyegge/beads) as a first-class, project-specific alternative to markdown-based tracking.
+  - **Git-Backed Issue Tracking:** Uses a local `.beads` repository (backed by Dolt) to store the task graph, allowing tracks and tickets to be versioned alongside the code.
+  - **Beads Toolset:** Provides a suite of MCP tools (`bd_create`, `bd_update`, `bd_ready`, `bd_list`) for agents to manage the issue graph autonomously.
+  - **Context Compaction:** Automatically summarizes completed beads to preserve context window space for the active task.
+  - **Augmented Visualizations:** Integrates with the Visual DAG and MMA Dashboard to provide real-time visibility into the Dolt-backed issue graph.
 - **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently within a single agent turn using an asynchronous execution engine, significantly reducing end-to-end latency.
 - **Automated Tier 4 QA:** Integrates real-time error interception in the shell runner, automatically forwarding technical failures to cheap sub-agents for 20-word diagnostic summaries injected back into the worker history.
 - **External MCP Server Support:** Adds support for integrating external Model Context Protocol (MCP) servers, expanding the agent's toolset with the broader MCP ecosystem.

conductor/tech-stack.md

@@ -48,6 +48,10 @@
 
 - **src/rag_engine.py:** Core RAG implementation managing the vector store lifecycle, chunking strategies (character-based and AST-aware), and multi-provider search. Integrates with **ChromaDB** for local persistence and provides a bridge for external MCP retrieval tools.
 
+- **src/beads_client.py:** Python client for interacting with the [Beads](https://github.com/steveyegge/beads) / Dolt backend. Handles repository initialization, bead creation, status updates, and graph queries.
+
+- **bd / dolt:** External CLI dependencies for versioned, graph-based issue tracking.
+
 - **src/history.py:** Implements the core `HistoryManager` and `UISnapshot` logic for the non-provider undo/redo system. Manages state stacks with a fixed capacity and provides jumping capabilities.
 
 - **src/workspace_manager.py:** Implements the `WorkspaceManager` and `WorkspaceProfile` data models for saving, loading, and merging ImGui docking layouts and window states across global and project-specific configurations.