february2015/dsh-taskswarm

README excerpt

TaskSwarm（蜂群） Multi-agent task orchestration for DeepSeek Harness (DSH). TaskSwarm arranges a batch of tasks into dependency-ordered waves , runs multiple AI workers in parallel lanes isolated by git worktrees, then automatically reviews and merges their output. 蜂群 (fēngqún) is a swarm of bees: the queen directs, the workers each buzz on their own task in parallel — exactly what this project does: the supervisor plans the waves, then every worker advances in its own lane . - License: MIT - Upstream: TaskPlane（Pi ecosystem multi-agent orchestration）— this project is a native port - 中文文档: README.zh-CN.md Features - Waves / Lanes parallel orchestration — tasks are topologically layered by their dependency DAG into waves; tasks within a wave run concurrently - Git worktree isolation — every task (lane) works in its own worktree; results are merged into the taskswarm/orch integration branch - Task packets — each task is a PROMPT.md (mission / steps / constraints) + STATUS.md (progress), giving workers durable memory across context resets - Checkpoint discipline — automatic git commits at step boundaries; a crashed worker never loses committed work - Cross-model review — an independent r…

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