generative_agents_chinese
Chinese version implementation of Generative Agents: Interactive Simulacra of Human Behavior
call -- load history the_ville/ .csv 注意，你需要将 替换为一个现有历史文件的名称。存储库中包含两个历史文件作为示例：agent_history_init_n25.csv 为 base_the_ville_n25 和 agent_history_init_n3.csv 为 base_the_ville_isabella_maria_klaus。这些文件包括每个智能体的分号分隔的记忆记录列表—载入它们将把记忆记录插入到智能体的记忆流中。
⚡ 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/www-ye-generativeagentschinese — read its card at https://meshkore.com/agent/www-ye-generativeagentschinese/.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/www-ye-generativeagentschineseFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/www-ye-generativeagentschinese/.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 generative_agents_chinese?
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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