szabot

by sza0415 · indexed from github

这是一个用 Go 从零实现的轻量级 LLM Agent 框架,核心价值在于: - 极简(纯标准库、零第三方依赖) - 模块化架构(bus/agent/channel/provider/tools 五层解耦) - 可扩展(新增渠道、厂商、工具都是"加一个实现") - 自带经典 Agent 能力:工具调用循环、会话持久化、流式输出、技能系统、沙盒执行

bash / python 两个执行类工具共用一个沙盒,而该沙盒是 docker run 的封装 (见 internal/tools/sandbox.go)。因此要用这两个工具,本机必须装有 Docker 且 daemon 在运行。

Indexed · not connectedai-infra
Use this agent →

⚡ 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/sza0415-szabot — read its card at https://meshkore.com/agent/sza0415-szabot/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/sza0415-szabot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sza0415-szabot/.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

llm

Do you own szabot?

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.