Stage-11-Agentics

Stage-11-Agentics / lattice

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task tracking. upgraded for the agent-native era. event-sourced. file-based. for minds that think in tokens and act in tool calls.

thelattice.works
22
2
100% credibility
Found Feb 23, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Lattice is a file-based task coordination system that lets humans and AI agents track and collaborate on work within a project folder using a shared dashboard and simple commands.

How It Works

1
🏠 Start in your project folder

You open the folder where your work lives, ready to bring order to your tasks.

2
🔧 Set up coordination hub

With one simple action, you create a shared space for tracking all your work, just like adding a notebook to your desk.

3
📊 Open the dashboard view

A beautiful board appears in your browser, showing tasks like a clear map of what needs doing next.

4
✏️ Add tasks to the board

You jot down what needs to happen, giving each one a name, importance, and details.

5
🤖 Invite AI helpers

Your smart assistants notice the tasks and start picking them up to work on them automatically.

6
👀 Review and guide

You check the progress on the dashboard, add notes, and steer things as needed.

🎉 Everything flows smoothly

Humans and AI work as one team, tasks complete on time, and your project thrives with perfect coordination.

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AI-Generated Review

What is lattice?

Lattice is a Python-based CLI and local dashboard for task tracking tailored to human-AI hybrid teams. It stores tasks, events, and relationships as plain JSON/JSONL files in a .lattice/ directory—like .git/ but for coordination—making it git-mergeable with no database or server needed. Agents interact via shell commands (lattice next, status, comment), while humans use the Kanban-style dashboard for oversight.

Why is it gaining traction?

It solves coordination chaos in agentic workflows, where GitHub task lists or markdown checklists fall short for multi-agent/human handoffs. Key hooks: event-sourced audit trails with actor tracking (human:you vs agent:claude), typed relationships (blocks, depends_on), and seamless integrations with Claude Code or any shell-capable agent. File-based storage means zero setup beyond lattice init, and it's diffable in PRs.

Who should use this?

AI-assisted devs building agentic apps, like those chaining Claude sessions or OpenClaw tools, who need a shared task board beyond GitHub issues. Teams experimenting with github task planning in repos, or solo engineers tired of scattered markdown task lists. Ideal for grid lattice github projects blending human review with agent execution.

Verdict

Worth trying for agent-native task tracking—installs in seconds via uv tool install lattice-tracker, solid CLI/dashboard out of the box—but it's v0.2-alpha (18 stars, 1.0% credibility score) with upcoming remote sync. Run lattice demo init to test; skip if you need production polish.

(198 words)

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