deepnow
The Ultimate AI Compute Gateway ( Router ) | A high-performance, stateless-to-stateful LLM compute gateway in Go. Features multi-model pooling, zero-dependency local RAG with muti-users support, session memory stack injection, and cascading optimal routing for Morden Agent compatible endpoints.
你可能正在苦恼：买了一堆 Token 算力，却没有一款能支撑起你的应用实现极速、高并发的响应。普通的非企业级模型资源通常有严格的速率限制（如 RPM 限制每分钟请求数、TPM 限制每分钟 Token 数、RPD 限制每日请求数等），无论应用端如何优化，都无法避开官方的接口限流。 DeepNow 彻底打破了这一枷锁 ： 通过独创的算力融合技术，你只需组合多个廉价的个人 Token 算力（或极具性价比的开发者套餐），就能使其综合吞吐量达到甚至超越企业级算力标准。此外，你还可以将不同物理设备上部署的本地开源模型聚合起来集中调度，实现一个接口同时服务多个应用，无需购买昂贵的专业级算力设备，彻底实现 Token 自由。同时，在需求高可用的业务场景，前端应用都不想收到任何 ""...high demand, please try again later..." 此类的尴尬提示。此类非正常应答都会被 deepnow 捕获，当意外应答出现，将会全自动的使用备用模型重发请求，前端是无感的。
⚡ 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/cebernic-deepnow — read its card at https://meshkore.com/agent/cebernic-deepnow/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/cebernic-deepnowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/cebernic-deepnow/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own deepnow?
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.