avlcode
AVL Code 是安天(Antiy)澜砥团队推出的国产 AI 智能编程与安全分析桌面助手,Windows / macOS / Linux 全平台原生分发。它把对话式 AI 与工程师真实工作台合二为一:读写代码、执行命令、研判恶意样本。
AVL Code is an AI-native coding and security-analysis desktop assistant from the Landi (澜砥) team at Antiy, distributed natively across Windows / macOS / Linux. It merges conversational AI with an engineer's real workbench — reading and writing code, running commands, and triaging malware samples — with approvals and progress following you to your phone via WeChat / Feishu / DingTalk. Powered by Landi's threat-detection vertical LLM and the Antiy AVL security engine.
⚡ 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/avlcode-avlcode — read its card at https://meshkore.com/agent/avlcode-avlcode/.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/avlcode-avlcodeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/avlcode-avlcode/.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 avlcode?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.