发现一个工具/项目：OpenSquilla。OpenSquilla 是一个 token-efficient 的微内核 AI Agent，重点不是“又一个会调用工具的 Agent”，而是把 CLI、Web UI、chat channels 放到同一套 shared turn loop 里：工具调度、重试、决策日志尽量保持一致。 GitHub： 主要特性： -…

🤖 opensquilla ⭐ 1,667 stars Maximize your API budget. This token-efficient microkernel AI agent delivers higher intelligence density across your CLI, web UI, and chat. 🔗 #AI #MachineLearning

OpenSquilla — token-efficient AI agent with a local model router. • Routes each request to cheapest capable model • Persistent memory + web search + embeddings • Web UI, CLI, and chat channels • 20+…

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

Use OpenSquilla's replay buffer to catch unexpected interactions when fine-tuning models. We've seen too many edge case failures in production due to model hallucinations.

🎉 1K STARS! WE DID IT! 🎉 The OpenSquilla repo just crossed 1,000 stars on GitHub! You guys are incredible. 🙌 🚨 10M TOKENS GIVEAWAY (30 Winners) 🚨 How to enter: ⭐ Simply star our repo: Clock is…

🧵 1/2 If you’re still over‑provisioning LLM agents just to get enough reasoning depth, meet OpenSquilla. It’s a Python‑first, Apache‑2.0 library that lets you stitch together multiple model…

Most AI agents today are still trapped in: «isolated workflows» One agent. One task. One narrow execution loop. That doesn’t scale. OpenSquilla 👇 An open-source platform pushing toward: «multi-agent…

🚨 THE BIGGEST ROADBLOCK TO SCALING AI AGENTS IS NOT INTELLIGENCE, IT IS TOKEN COST If your agent uses a premium reasoning model to answer a basic greeting, you are burning money. @OpenSquilla is an…

🚨 The biggest roadblock to scaling AI agents isn't intelligence, it's token cost. If your agent uses a premium reasoning model to answer a basic greeting, you are burning money. @OpenSquilla solves…