{"id":"saigontechnology-agentcrew","name":"AgentCrew","af_score":49.8,"security_score":41.2,"reliability_score":37.5,"what_it_does":"AgentCrew is a Python multi-agent AI framework and desktop/CLI application for building teams of specialized agents that collaborate via transfer or parallel delegation. It supports multiple model providers and tool integrations, including MCP-connected external tools, and can expose agents as HTTP services via an A2A (JSON-RPC) server.","best_when":"You want a locally run multi-agent “agent team” that can use tools (including MCP) and optionally expose agent capabilities to other clients for orchestration.","avoid_when":"You need a minimal surface area package with strong, documented security primitives (mTLS, JWT/OAuth with scopes on every endpoint) and formally specified HTTP API contracts.","last_evaluated":"2026-03-30T13:39:25.258650+00:00","has_mcp":false,"has_api":false,"auth_methods":["API keys for AI providers (e.g., Anthropic, OpenAI, etc.) via configuration files","OAuth flows for specific integrations (GitHub Copilot OAuth, ChatGPT/Codex OAuth flow)","MCP OAuth support (described as supported for MCP integration)"],"has_free_tier":false,"known_gotchas":["Job mode retries up to 4 times for JSON Schema validation failures, which may increase cost/latency if schemas are strict or frequently mismatched.","Delegate mode runs multiple tool calls concurrently via asyncio.gather; tool failures are isolated per-tool but concurrency can make non-deterministic ordering/logging effects possible.","Tool integrations include potentially destructive actions (e.g., command execution, file editing); correctness and safety depend on configured permissions/approval gating."],"error_quality":0.0}