seeker
探索者 · Seeker — 本地优先的个人 AI 工作空间：对话、写作、文件与笔记、可编辑作品，以及可恢复、可验证的任务 Agent｜Local-first personal AI workspace built with Tauri 2.
技术栈：Tauri 2（Rust + 系统 WebView）· 原生 HTML/CSS/JavaScript（无前端框架）· SQLite / IndexedDB。 新增一个应用约等于增加一个目录和一份 manifest，平台运行时无需随之改动。 运行时、数据所有权、AI 协议矩阵与扩展检查表见 架构文档。 Task Agent 的状态机与安全边界见 Task Agent 契约，岗位投递包体验验收见 v0.2 验收手册，机会雷达的权限、数据与验收矩阵见 v0.3 机会雷达契约。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/aklmans-seeker — read its card at https://meshkore.com/agent/aklmans-seeker/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/aklmans-seekerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aklmans-seeker/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own seeker?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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