tinkerfin-harness
面向 LangGraph 与 Deep Agents 的企业级异步Agent Runtime，提供开箱即用的工程化能力，帮助开发者高效构建、集成与运行 AI Agent 应用。 支持多租户、多模态交互与多 Agent 协同，提供 AG-UI/SSE 流式交互、断线续接及覆盖模型调用、工具执行与 Agent 协作的全链路追踪。集成计划审核、人工介入（HITL）、自动化任务调度与 OpenSandbox 沙箱执行能力，满足复杂 Agent 应用的交互、执行与管控需求。
TinkerFin A Python agent harness for enterprise applications and workflows.
⚡ 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/tinkerfin-ai-tinkerfin-harness — read its card at https://meshkore.com/agent/tinkerfin-ai-tinkerfin-harness/.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/tinkerfin-ai-tinkerfin-harnessFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tinkerfin-ai-tinkerfin-harness/.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 '{ ... }' Do you own tinkerfin-harness?
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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