Have you ever used an AI coding assistant like Claude, only to find that it forgets what it was working on after a long conversation? When you start a new chat or your context window resets, the AI suddenly loses track of its tasks.

That’s exactly the problem Chainlink solves.

Chainlink is a simple, lean issue tracker CLI designed specifically for AI-assisted development. It gives AI assistants a memory that survives between conversations.

What is Chainlink?

At its core, Chainlink is a to-do list for AI assistants. Whenever you ask an AI tool to build a feature or fix a bug, Chainlink provides it with a place to write down what it is working on, what is already done, what comes next, and any important notes to save for later.

By providing a persistent memory state, you eliminate the need to constantly repeat yourself and ensure seamless handoffs between sessions.

Key Features Built for AI Workflows

  • Local-First Storage: All your data is stored locally in a SQLite database (.chainlink/issues.db), meaning there are no external services or network requests needed.

  • Session Management: Chainlink preserves context across your AI sessions by utilizing handoff notes.

  • Context Compression Resilience: It features "breadcrumb tracking" via the session action command, which helps your context survive unexpected resets.

  • Claude Code Hooks: Chainlink includes behavioral hooks designed for Claude Code that automatically inject best practices into your AI sessions. These guardrails enforce principles like writing complete code instead of stubs, handling errors properly, and breaking down features larger than 500 lines into subissues.

  • Universal Context Provider: If you don't use Claude, you can use the built-in context provider script to generate intelligent context. This context can be injected into any AI coding assistant—including Cursor, Aider, or ChatGPT web UIs.

  • Quick Workflow Integration: You can create, label, and start working on an issue all in a single command using chainlink quick.

How It Works in Practice

Chainlink easily maps to your daily development cycles. When you sit down to work you can assign issues manually like this.

  1. 1.

    Start a Session: Run chainlink session start to load up previous handoff notes.

  2. 2.

    Assign Work: Create a task using chainlink quick "Fix token refresh" -p high -l bug.

  3. 3.

    Leave Breadcrumbs: While the AI is fixing the bug, record your progress using chainlink session action "Found root cause".

  4. 4.

    Handoff: End the session with handoff notes to keep everything on track for tomorrow using chainlink session end --notes "Closed auth bug. Dark mode is next."

But keep in mind chainlink tells the agent how to use chainlink. Just run "chainlink init --force" in the code directory.

Try It Out

Chainlink is built with Rust and works out of the box with zero sync complexity—no git hooks, no auto-pushing required.

You can install it today via Cargo:

cargo install chainlink-tracker

Stop letting your AI lose its train of thought. Add a dedicated memory layer to your tech stack today.