OpenMantis
Lightweight multi-platform AI agent chat framework. Connect multiple LLMs to Feishu/WeCom/QQ with composable tools, long-term memory, scheduling & browser automation. | 轻量级多平台 AI Agent 聊天框架，连接多个 LLM 到飞书/企业微信/QQ，支持可组合工具、长期记忆、定时任务和浏览器自动化。
消息从通道适配器流入 Gateway，由其管理会话（消息路由）并创建 Agent。AgentFactory 每轮解析 LLM 供应商、工具和系统提示词（含 MEMORY.md 索引），然后委托 ToolLoopAgent 进行流式执行。Scheduler 也可以按 cron / interval / at 触发完整 Agent 管线。
⚡ 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/liangniang-openmantis — read its card at https://meshkore.com/agent/liangniang-openmantis/.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/liangniang-openmantisFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/liangniang-openmantis/.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 OpenMantis?
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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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.