opensquilla
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
| Category | Memory & Knowledge |
|---|---|
| Author | TokenRhythm |
| Stars | 7102 |
| Language | Python |
| License | Apache-2.0 |
| Last update | 2026-10-15 |
| Source | https://github.com/TokenRhythm/opensquilla |
Tags: agent, ai, ai-agents, deep-learning, foundation-models, llm, mcp, memory, openclaw, python, skills
Maintain this project? Get it featured.
Alternatives to opensquilla
lobehub lobehub · ★83266 · TypeScript
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Prompt-Engineering-Guide dair-ai · ★79211 · MDX
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
ai-agents-for-beginners microsoft · ★77257 · Jupyter Notebook
18 Lessons to Get Started Building AI Agents
headroom headroomlabs-ai · ★75469 · Python
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo ruvnet · ★75317 · TypeScript
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated