Jason-skd/dsh-session-fork

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Sub agents and parallel development never quite deliver in today's agent apps. This project manages dsh's native, discrete sessions the way git manages branches: fork gives conversations inheritance, while squash and rebase give them merging — a major upgrade to the parallel-development and prompt-management experience on dsh.

This is a plugin for DeepSeek Harness; it cannot run standalone.

Pain points it solves

• Efficient solo parallel development: the branch model mirrors how real programmers collaborate. While developing in parallel, every agent holds its own snapshot of the repo — you trade a strictly linear development history for resolving conflicts at merge time.
• Clean context management: the main branch (e.g. main) stays your secretary and dispatcher. Research and coding tasks are delegated to child branches; when a task is done, only its compressed context is reported back to the main branch.
• Hardened session management: the branch model upgrades dsh's native fork and cross-session messaging experience.

Quick start

Install (requires a web-app-based dsh profile):

dsh plugin --profile web add dsh-session-fork

After that, just let your agent use the plugin freely — every command also ships as an agent-callable tool!

Core features

• branch operations give every session a name, an ancestry, and an index — manageable through commands.
• fork hardens the native experience and provides the ancestry primitive.
• squash and rebase offer two forms of cross-branch merging.
• send_message_by_branch strengthens communication between sessions.
• The branch tab provides visual management of branches.

Join us

What we want to build next:

1. Branch-scoped project memory. Existing long-term memory models are project-grained, which is a disaster for the branch model: memory leaks across branches and pollutes context. Branch-grained memory management is the road to a more robust model.
2. Ongoing maintenance. Open Issues — there are plenty of long-term improvements and bugs waiting.

We take an open stance on AI collaboration: feel free to use AI to contribute code, write commit messages, and draft PRs. But we expect you to own your code — review it yourself, and treat AI as your tool in communication rather than letting it talk to us on your behalf.

License

MIT