4 boosters for "llm-agents" — open source, verified from GitHub, ready to install
MIRIX is a Multi-Agent Personal Assistant with an Advanced Memory System. It features a six-agent memory architecture (Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault) with screen activity tracking and privacy-first design. 1. Follow PEP 8 strictly 3. Documentation
Analyze skills using historical session data + static quality checks, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-point composite scale across 8 dimensions. CSO (Claude/Agent Search Optimization) = writing skill descriptions so agents select the right skill a
"name": "futuresearch", "description": "Give Claude Code a research team. Forecast, score, classify, or research every row of a dataset.", "name": "FutureSearch"
Oros cursor rules provide development guidelines for a decentralized AI chat application that bridges LLM capabilities with blockchain tasks through a Go proxy and React frontend. Developers building or contributing to multi-LLM dApp integrations would benefit from these structured rules.
