{"id":"vrsen-agency-swarm","name":"agency-swarm","af_score":62.8,"security_score":52.5,"reliability_score":38.8,"what_it_does":"Agency Swarm is a Python framework for building multi-agent (swarm) applications by defining specialized agents, tool functions (Pydantic-typed), and directional inter-agent communication flows. It is built on top of the OpenAI Agents SDK / Responses API and provides helpers for running demos and persisting thread/state.","best_when":"You want to orchestrate multiple agent personas/workers within your own Python application using OpenAI-compatible model backends and you can define tools + communication flows in code.","avoid_when":"You need an immediately deployable network API (REST/GraphQL) from this package itself, or you cannot supply and manage the required LLM credentials/tokens in your environment.","last_evaluated":"2026-03-29T15:01:51.492789+00:00","has_mcp":false,"has_api":false,"auth_methods":["OPENAI_API_KEY (environment variable)"],"has_free_tier":false,"known_gotchas":["No explicit guidance in provided README on retry/idempotency semantics for agent runs.","When orchestrating multiple agents with directional flows, mis-specified flows can cause dead-ends or unexpected delegation loops (not discussed in provided material).","Thread persistence relies on user-provided load_threads_callback/save_threads_callback; incorrect implementations could corrupt state."],"error_quality":0.0}