{"id":"shaharia-lab-goai","name":"goai","af_score":51.0,"security_score":49.0,"reliability_score":25.0,"what_it_does":"GoAI is a Go library that provides a unified, type-safe interface for working with multiple LLM providers (OpenAI, Anthropic Claude, AWS Bedrock), generating vector embeddings, and performing similarity search using vector storage (including PostgreSQL vector storage). It also claims support for streaming and provides a documented Model Context Protocol (MCP) server for Go.","best_when":"You are building a Go application and want a single abstraction over several LLM providers plus embeddings/vector search, with an emphasis on developer experience (consistent interfaces and streaming).","avoid_when":"You need a server-side managed platform with documented uptime/SLA, rate-limit guarantees, and centralized auth/authorization controls independent of upstream providers.","last_evaluated":"2026-04-04T19:33:17.890772+00:00","has_mcp":true,"has_api":false,"auth_methods":["Provider API keys passed into client constructors (e.g., ANTHROPIC_API_KEY in example)"],"has_free_tier":false,"known_gotchas":["Authentication is provider-specific; agent must know which underlying provider client/config to use.","Operational concerns like rate limits and retry/backoff likely need to be implemented with provider behaviors in mind; library-level guidance is not shown in the provided README."],"error_quality":0.0}