{"id":"agentscope-ai-agentscope","name":"agentscope","af_score":49.8,"security_score":49.2,"reliability_score":32.5,"what_it_does":"AgentScope is a Python multi-agent framework for building, orchestrating, and running LLM agents with reusable abstractions (agents, toolkits, memory, planning/workflows) and integrations including MCP tool support and additional protocols (e.g., A2A) plus observability via OpenTelemetry.","best_when":"You want a Python framework to assemble agent components (LLM model adapter, tool execution, memory, and multi-agent workflows) and run them within your own infrastructure.","avoid_when":"You require managed, provider-enforced API governance (OAuth scopes, per-endpoint rate limiting, server-side idempotency) without implementing your own controls around tool execution and data handling.","last_evaluated":"2026-03-29T13:08:45.533947+00:00","has_mcp":false,"has_api":false,"auth_methods":["Environment-variable API keys for model providers (e.g., example uses DASHSCOPE_API_KEY)","Provider-specific API key configuration for supported model backends"],"has_free_tier":false,"known_gotchas":["Agent tool use can produce non-deterministic behavior; callers should add application-level guards/validation for tool inputs and outputs.","In a framework, reliability/cleanup/retry semantics depend on the agent/tool implementation and external services, not on a single standardized API layer."],"error_quality":0.0}