DaShi Visual Taskboard & Multi-Agent Kanban Hub

@chuspeeism/dashi-taskboard · v1.1.5

An interactive Kanban taskboard and progress hub for DeepSeek Harness multi-agent swarms. Tracks task states across swimlanes, active workers, execution time, and dependency bottlenecks.

KanbanTaskboardMulti-AgentAgile-Tracking
GitHub Stars
22 K+
+12.4% this month
Monthly Downloads
84 K+
Monthly registry pulls
Reach Score
97.5/ 100
Top Tier Ecosystem
Runtime
Cordis v3+
Node 18+ / Bun / Deno

Installation & Integration

CLI one-click launch, package managers, and Cordis integration

bash
manager:
$ pnpm add @chuspeeism/dashi-taskboard

Architecture

DaShi Taskboard visualizes autonomous multi-agent engineering workflows with modern agile clarity. When teams deploy specialized agent ensembles—Product Specifier, Architect, Developer, and QA—command-line logs make it impossible to track overall sprint progress. This plugin implements a real-time reactive Kanban board inside Cordis. When coordinator agents decompose epics, tasks automatically populate customized swimlanes. Each card displays assigned subagents, live execution durations, and dependency blockers. Engineers drag and drop cards to reorder sprint priorities live, blending human project management with AI autonomy.

Architectural Principles & Constraints

01
Strict Type Isolation

Guaranteed by TypeScript compile-time contracts, inter-plugin event bus calls enjoy zero-drift safety.

02
Sub-Millisecond Hot Reload

Supports dynamic runtime mounting and graceful unloading without restarting the primary host process.

03
Deterministic State Machine

Embeds multi-phase execution lifecycle guards, preventing context loss during long-horizon reasoning.

04
Zero Native Build Dependencies

Designed for lightweight cross-platform environments, booting instantly across Node.js, Bun, and Deno.

Core Features

01
Customizable Agile Swimlanes: Easily tailor columns for Backlog, In-Flight, QA, and Done
02
Real-Time WebSocket Sync: Millisecond conflict-free state synchronization between agents and humans
03
Visual Dependency Lineage: Explicitly traces upstream prerequisites and critical path milestones
04
One-Click Deliverable Inspection: Expand cards to review generated code patches and test runs directly

Core Workflow

01

Epic Breakdown & Card Creation

Coordinator breaks project goals into typed task cards with acceptance criteria.

02

Agent Claim & State Transition

Specialized agents claim cards, moving them into 'In Progress' with live updates.

03

Blocker Detection & Alerting

Highlights blocked dependencies in red, notifying coordinators to re-route.

04

Verification & Card Archival

Validates deliverables against unit tests before moving cards to 'Done'.

Configuration Parameters Reference (YAML / JSON)

ParameterTypeDefaultDescription
boardPortnumber4321Taskboard web frontend HTTP port
autoArchiveHoursnumber24Hours before completed cards auto-archive
allowHumanDragDropbooleantrueAllow human operators to drag cards

Use Cases

Enterprise Production Agent

Relies on microkernel lifecycle guards and fault-tolerant state machines for continuous reliability.

SWE-bench Benchmark Evaluation

Native integration with SWE-bench workflows, automatically capturing diffs and verification metrics.

Autonomous Code Refactoring

Separates reasoning from tool actions to independently locate and refactor multi-file codebases.

Cross-Tool Workflow Automation

Safely orchestrates events across sandboxes to seamlessly link enterprise developer tooling.

Best Practices

01
Sandbox Permission Guard

Strictly isolate sub-process calls and network scope; deploy within Docker containers in production.

02
Exponential Backoff Retries

Configure adaptive exponential retries with strict timeouts to mitigate upstream model rate limits.

03
Session State Checkpointing

Persist state machine snapshots to survive hardware interruptions and resume instantly without loss.

04
Full Trajectory Audit Logs

Enable full trace logging, aggregating reasoning thought streams and tool I/O into your observability hub.

FAQ

Q1:How to handle timeouts in long-running autonomous tasks?

Increase the timeout parameter inside your YAML configuration and dispatch periodic heartbeat signals across the Cordis event bus. For long-running tool execution and model reasoning, configure persistent session snapshotting so suspended tasks can safely resume their exact context after interruptions, preventing the kernel from recycling active agent sessions prematurely.

Q2:How to capture and stream the model reasoning thought process?

The harness runtime natively provides end-to-end streaming hooks while its state machine automatically intercepts and strips <think> reasoning tags from model responses. Subscribe directly to the onThink event listener to consume live reasoning token streams in real-time, delivering typewriter animation to the user interface while persisting full trajectories for audit compliance.

Q3:How to resolve dependency conflicts across multiple plugins?

Cordis microkernel uses directed acyclic graph topological sorting to dynamically resolve plugin dependencies. When shared services or runtime versions conflict, assign distinct isolated namespaces at the application entrypoint. Leveraging context injection alongside lazy activation ensures dependencies load strictly on-demand when tools are triggered, maintaining system stability and preventing memory bloat.

Q4:How to enforce permissions and sandbox isolation in production?

Combine isolated container sandboxing with fine-grained capability checks to prevent plugins from accessing sensitive files or unauthorized external networks. Enforce explicit runtime system call whitelisting through the microkernel, executing all third-party tool scripts inside isolated ephemeral containers to block arbitrary code execution and eliminate security privilege escalation risks entirely.

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