{"id":"galaxyllmci-lyraios","name":"lyraios","af_score":47.0,"security_score":51.2,"reliability_score":25.0,"what_it_does":"LYRAIOS (llm-os) is a Python-based AI “operating system” that provides a Streamlit UI and FastAPI backend, integrating with the Model Context Protocol (MCP) to connect AI agents to external tools/services. It also includes built-in assistants/tools such as web search, financial analysis, file management, research via Exa, and (partially) Python code execution. It supports authentication via API keys and offers rate limiting/quotas as part of a security & access control layer.","best_when":"You want a locally deployed or containerized AI workspace where an MCP-capable host (e.g., an MCP client in an IDE/desktop) can discover and use registered tools and resources, and you’re comfortable wiring/exposing the needed external credentials (OpenAI/Exa/Gemini).","avoid_when":"You need a mature, well-specified public API with strong operational guarantees (SLA, stable versions, robust retry/idempotency semantics) or you require tight compliance controls without first reviewing the codebase and its runtime security posture.","last_evaluated":"2026-03-30T13:37:28.874492+00:00","has_mcp":true,"has_api":true,"auth_methods":["API key management (mentioned)","OpenAI API key configuration (environment variable / .env)","Third-party research API keys (EXA_API_KEY, GOOGLE_API_KEY) via environment variables"],"has_free_tier":false,"known_gotchas":["Blockchain/financial tools may require careful confirmation, permissions, and safe handling; the README describes capabilities but does not show detailed safety/idempotency semantics.","Tool/function coverage and response schemas for MCP are not shown in the provided excerpt, so agents may need to handle unexpected formats.","Some features are marked as partial/roadmap (e.g., advanced error handling & recovery, authorization/rate limiting/quotas), which may reduce reliability for complex workflows."],"error_quality":0.0}