TaskWing

The local-first knowledge layer for AI development.

Website · Tutorial · Vision · Install

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Your AI tools start every session from zero -- and every session, your code context flows through someone else's cloud.

TaskWing takes the opposite approach. One command extracts your architecture into a local knowledge base on your machine. No cloud. No account. Every AI session after that just knows -- without your knowledge base leaving your infrastructure.

Without TaskWing              With TaskWing
─────────────────             ─────────────
8-12 file reads               1 MCP query
~25,000 tokens                ~1,500 tokens
2-3 minutes                   42 seconds
No architectural context       170+ knowledge nodes

Install

brew install josephgoksu/tap/taskwing

No signup. No account. Works offline. Everything stays local in SQLite.

Alternative: install via curl

curl -fsSL https://taskwing.app/install.sh | sh

Quick Start

# 1. Extract your architecture (one-time)
cd your-project
taskwing bootstrap
# -> 22 decisions, 12 patterns, 9 constraints extracted

# 2. Connect to your AI tool
taskwing mcp install claude    # or: cursor, gemini, codex, copilot, opencode

# 3. Plan and execute with your AI assistant
/taskwing:plan       # Create a plan via MCP
/taskwing:next       # Get next task with full context
# ...work...
/taskwing:done       # Mark complete, advance to next

That's it. Your AI assistant now has local architectural context across every session.

Private by Architecture

TaskWing keeps your knowledge base on your machine. No cloud database, no account, no sync.

  YOUR MACHINE                          EXTERNAL
  ─────────────────────────────────     ─────────────────────────
                                        ┌───────────────────────┐
  ┌──────────────┐   code context       │ LLM Provider          │
  │ Your codebase ├────────────────────>│ (OpenAI, Anthropic,   │
  └──────────────┘   (bootstrap only)   │  Google, Bedrock)     │
         │                              └───────────┬───────────┘
         │                                          │ findings
         v                                          │
  ┌──────────────────────┐  <───────────────────────┘
  │ .taskwing/memory.db  │
  │ Local SQLite         │  Your knowledge base.
  │ Never uploaded.      │  Never leaves your machine.
  └──────────┬───────────┘
             │ local stdio (MCP)
             v
  ┌──────────────────────┐              ┌───────────────────────┐
  │ AI Tool              │  may send    │ Tool's own cloud      │
  │ (Claude, Cursor,     ├─────────────>│ (per their privacy    │
  │  Copilot, Gemini)    │  to their    │  policy)              │
  └──────────────────────┘  servers     └───────────────────────┘


  FULL AIR-GAP (everything stays left of the line):

  ┌──────────────┐        ┌─────────┐        ┌──────────────┐
  │ Your codebase ├──────>│ Ollama  ├──────>│ .taskwing/   │
  └──────────────┘        │ (local) │        │ memory.db    │
                          └─────────┘        └──────┬───────┘
                                                    │ local stdio
                                                    v
                                             ┌──────────────┐
                                             │ Local AI tool │
                                             └──────────────┘
                                             Zero network calls.

What TaskWing controls: Your knowledge base is stored and queried locally. MCP serves responses over local stdio -- no network calls.

What your AI tool controls: Cloud-based tools (Claude, Cursor, Copilot) may send conversations to their own servers. Check their privacy settings (e.g., Cursor's Privacy Mode, Copilot's data retention policies).

Full air-gap: Use Ollama for bootstrap + a local AI tool. Nothing leaves your machine.

Works With

Supported Models

Brand names and logos are trademarks of their respective owners; usage here indicates compatibility, not endorsement.

What It Does

Capability	Description
Local knowledge	Extracts decisions, patterns, and constraints into local SQLite
Plan to tasks	Turns a plan into decomposed tasks with architecture context
AI-driven lifecycle	Task execution -- next, start, complete, verify
Code analysis	Symbol search, call graphs, impact analysis, simplification
Root cause first	AI-powered diagnosis before proposing fixes
Works everywhere	Exposes everything to 6+ AI tools via local MCP

Slash Commands

Use these from your AI assistant once connected:

Command	When to use
/taskwing:plan	Clarify a goal and build an approved execution plan
/taskwing:next	Start the next approved task with full context
/taskwing:done	Complete the current task after verification
/taskwing:context	Get full project knowledge dump for complete architectural context

MCP setup (manual)

taskwing mcp install handles this automatically. If you need to configure manually, add to your AI tool's MCP config:

{
  "mcpServers": {
    "taskwing": {
      "command": "taskwing",
      "args": ["mcp"]
    }
  }
}

Tool	Description
ask	Search project knowledge (decisions, patterns, constraints)
task	Unified task lifecycle (next, current, start, complete)
plan	Plan management (clarify, decompose, expand, generate, finalize, audit)
code	Code intelligence (find, search, explain, callers, impact, simplify)
debug	Diagnose issues systematically with AI-powered analysis
remember	Store knowledge in project memory

Autonomous task execution (hooks)

TaskWing integrates with Claude Code's hook system for autonomous plan execution:

taskwing hook session-init      # Initialize session tracking
taskwing hook continue-check    # Check if should continue to next task
taskwing hook session-end       # Cleanup session
taskwing hook status            # View current session state

Circuit breakers prevent runaway execution:

• --max-tasks=5 -- Stop after N tasks for human review
• --max-minutes=30 -- Stop after N minutes

AWS Bedrock setup

llm:
  provider: bedrock
  model: anthropic.claude-sonnet-4-5-20250929-v1:0
  bedrock:
    region: us-east-1
  apiKeys:
    bedrock: ${BEDROCK_API_KEY}

Model	Use case
anthropic.claude-opus-4-6-v1	Highest quality reasoning
anthropic.claude-sonnet-4-5-20250929-v1:0	Best default balance
amazon.nova-premier-v1:0	AWS flagship Nova
amazon.nova-pro-v1:0	Strong balance
meta.llama4-maverick-17b-instruct-v1:0	Open-weight general model

Or configure interactively: taskwing config

• taskwing bootstrap
• taskwing ask "<query>"
• taskwing task
• taskwing mcp
• taskwing doctor
• taskwing config
• taskwing start

Documentation

• Getting Started
• Product Vision
• Architecture
• Workflow Pack

License

MIT