Workstream Weaver — AI skill for Claude Code
Ultimate AI Coding Agent Continuity Toolkit 2026 - Seamless Handoff & Sync.
How to install Workstream Weaver
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open TommUI/workstream-weaver and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Workstream Weaver does
Ultimate AI Coding Agent Continuity Toolkit 2026 - Seamless Handoff & Sync.
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README
CogLink: The Thread-Based Continuity Bridge for AI Coding Agents
[](https://tommui.github.io/workstream-weaver/)
**Your AI agents deserve context that doesn't vanish between prompts. CogLink turns scattered conversation threads into a persistent, searchable, and handoff-ready knowledge base.**
What is CogLink?
CogLink is an open-source, local-first continuity engine designed for developers who work with multiple AI coding agents like Claude Code, Codex, GitHub Copilot, or Cursor. Instead of forcing your agents to "start fresh" every session, CogLink preserves the thread of your reasoning—your `threadmark`—and makes it available across any tool, any session, any time.
Think of it as a **shared memory layer** for your AI tools. While your project files track what has been written, CogLink tracks why it was written, what was discarded, and which rabbit holes you explored. It is the glue that connects your conversations, your decision logs, and your debugging journey into a single, queryable stream.
Unlike cloud-based solutions that risk data leakage or require constant internet access, CogLink runs entirely on your local machine. Your prompts, your agent's responses, and your handoff notes never leave your laptop. The result? A private, fast, and infinitely flexible continuity bridge.
Why Threadmark?
The core concept of CogLink is the **threadmark**—a lightweight, timestamped, and tagged marker that captures the state of an AI-assisted coding session. A threadmark is not a full conversation dump; it is a **summary point**, a "save game" for your mental model. It tells future agents: *"Here is what I was trying to achieve, here is what I tried, and here is the current challenge."*
Threadmarks are organized into *threads*. A thread is a sequence of related work: a feature implementation, a bug hunt, a refactoring session, or a research task. Threads can b
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