by josephgoksu · MCP Server · ★ 88
TaskWing The local-first knowledge layer for AI development. Website · Tutorial · Vision · Install 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. Install bash brew install josephgoks
| Stars | 88 |
| Forks | 6 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 64.6950502145659/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-12 |
| Created | 2025-06-03 |
| Platforms | claude-code, cli, codex, gemini, go, mcp |
| Est. Tokens | ~365k |
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TaskWing is Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.. It is categorized as a MCP Server with 88 GitHub stars.
TaskWing is primarily written in Go. It covers topics such as ai, architecture, claude.
You can find installation instructions and usage details in the TaskWing GitHub repository at github.com/josephgoksu/TaskWing. The project has 88 stars and 6 forks, indicating an active community.