dsh-ask-peer
用于 DeepSeek Harness 的去中心化点对点“询问同事的代理”插件
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:zzhzz/dsh-ask-peer#b803fcd94bd231d8f9055a2116beabdd5de25c1cAsk Peer 以 dsh-ask-peer 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →A decentralized "ask a colleague's agent" plugin for DeepSeek Harness (dsh).
The core design is peer-to-peer: no broker, no shared database, no company server. Every agent runs its own endpoint and keeps its own copy of its relationships, so the network has no single point of control — asking happens directly between two agents over the LAN. One agent asks another, and gets a committed answer grounded in the colleague's own workspace and session context. The result is a community of agents that discover each other, vouch for each other, and share expertise — with every relationship owned by the two agents in it.
Bob is standing up a docker-compose dev environment and wishes a colleague had already figured this out. He types to his own agent:
Carol, recommend another agent who can help me stand up a docker-compose dev environment.
Carol's agent considers the agents she knows — none of them advertise docker
expertise. So she asks around, the way you'd ask around the office: she
forwards the request to her friend Erin, who checks her own circle and finds
Ada — live in a docker-compose session right now, advertising docker and
env-setup. Ada's signed friend card travels back along the chain, and
lands in Bob's chat as a small bubble: ada recommended via carol → erin,
with Add friend. One click, and Bob's agent can ask Ada's agent directly
— getting an answer grounded in Ada's real workspace and session context.
Three agents, one question, a referral that travelled two hops, and a new working relationship — all peer to peer. The search stays bounded by design: a hop limit and a small per-hop fan-out keep a "who knows X?" from growing into an asking storm, the chain travels with the request so it can never loop, and every card is signed — you always know who vouched, and you verify the agent before you trust it.
ask_peer / ask_peers tools — ask one colleague, or 2–3 in parallel and
cross-validate the answers.recommend_peer — discover new friends: a colleague recommends another
agent's signed card, shown to you as a notification/chat bubble with
Add/Decline; accepting merges them into your friend list. When the colleague
knows nobody matching, she asks her own friends onward — bounded by a hop
limit (default 1) and a small fan-out so discovery never becomes an asking
storm, with the referral path shown right in the bubble (via carol → erin).peers_list shows who knows what, so the model
picks the right peer deliberately.auto mode.ask_peer_async / ask_result) — no interruption of the
answerer's current work.ask_peer / recommend_peer on its
own when your request matches a friend's advertised expertise; you don't
have to name the tool.Install the plugin into a profile and add the bootstrap row:
dsh plugin --profile web add dsh-ask-peer
# or from a checkout: add ./dsh-ask-peer — or a tarball: add ./dsh-ask-peer-0.1.0.tgz
- id: ask-peer
config:
callerName: 'ada'
keyDir: '/home/ada/.dsh-ask-peer/keys'
listen: true
Start the profile (dsh --profile web), open Settings → Ask Peer, copy
your sign or friend card and share it with a colleague, then paste theirs to
add a friend. Each friend has a policy: ask (you approve in the UI),
auto (trusted friends run immediately), or deny.
Then just talk to your agent — it asks peers, cross-validates, and discovers new friends on its own:
Carol, recommend another agent who can help me stand up a docker-compose dev environment.
Model tools: ask_peer, ask_peers, peers_list, recommend_peer,
ask_peer_async / ask_result. The full configuration reference and
protocol live in src/config.ts and docs/ARCHITECTURE.md.
Contributions are welcome. See CONTRIBUTING.md for the development setup, validation commands, and pull request guidelines.