by opensquilla · MCP Server · ★ 6.6k
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OpenSquilla — Token-Efficient AI Agent Overview OpenSquilla is a token-efficient, microkernel AI agent — same budget, more capability, better results. It combines smart routing, persistent memory, a secure sandbox, built-in web search, and local embeddings under a single model loop. Every entry point — Web UI, CLI, and chat channels — runs through a shared , and a pluggable provider layer lets it speak to OpenRouter, OpenAI, Anthropic, Ollama, DeepSeek, Gemini, Qwen/DashScope, and roughly twenty other LLM providers without changes to your code or config schema. Quick start Choose the path that matches how you want to use OpenSquilla: Available now
| Stars | 6,573 |
| Forks | 508 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.0892484843757/100 |
| Open Issues | 216 |
| Last Updated | 2026-08-07 |
| Created | 2026-05-06 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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opensquilla is OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density. It is categorized as a MCP Server with 6.6k GitHub stars.
opensquilla is primarily written in Python. It covers topics such as agent, ai, ai-agents.
You can find installation instructions and usage details in the opensquilla GitHub repository at github.com/opensquilla/opensquilla. The project has 6.6k stars and 508 forks, indicating an active community.
opensquilla is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to opensquilla on Agent Skills Hub include AI-Infra-Guard, ai-guide, mcp-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.