Backlog.md
An open-source Git-native backlog tool for development teams that coordinates humans and AI agents through Markdown task flows to produce traceable task breakdowns, execution logs, and next-step planning.
Tool overview
Backlog.md is worth adopting if your team already works inside Git and wants AI to move work forward task by task rather than just patch code on demand. If you need a full Jira replacement, a hosted visual PM suite, or a spec-first generator, this is not that. A better analogy is a shared Markdown backlog layer inside the repo for both humans and agents.
Its practical value is turning repo-local tasks into a shared execution queue with task IDs, decomposition, handoff, and progress records. The GitHub repo and official X posts are stronger evidence for product direction and active maintenance: they show ongoing releases, custom task folder support, and a shift of the default agent mode from MCP to CLI. Zhihu articles and answers provide more workflow-shaped evidence: users describe planning locally, decomposing into backlog.md, and pairing it with worktrees or other agent tools. Claims about much lower token cost are currently community framing, not an official guaranteed cost promise.
The main barrier is workflow maturity, not license price.