CrewAI vs Kong AI Gateway

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	CrewAI Agents	Kong AI Gateway Agents
Tagline	Python framework for multi-agent orchestration.	Enterprise API gateway extended to route, govern, and observe LLM and agent traffic across providers.
Category	Agents	Agents
Pricing	Freemium· Free open-source core; cloud platform paid	Freemium· OSS free; Konnect usage-based; Enterprise quote-only
Model	BYO (Claude / GPT / open)	Multi-model
Editorial score	8.4 / 10	—
Use cases	multi-agentorchestrationPython	llm-gatewaymulti-llm-routingai-observabilityprompt-guardrailsmcp-governancetoken-quotas
Pros	Clean Python API Strong role/goal abstractions Active community Hosted platform for deployment	Unified proxy for 20+ LLM providers with drop-in OpenAI-compatible API Mature gateway runtime with rate-limiting, caching, auth, and observability baked in Self-hostable OSS core; no hard dependency on a SaaS control plane First-class MCP and agent-to-agent traffic management Plugs into existing Kong API governance and SSO/RBAC
Cons	Production observability still maturing Debugging multi-agent flows is hard	Operational overhead of running Kong is overkill for small teams Enterprise features (FIPS, advanced analytics) gated behind sales Documentation spread across konghq.com, docs, and developer portal
Website	www.crewai.com	konghq.com

Pick CrewAI if

Pick Kong AI Gateway if

✅ Unified proxy for 20+ LLM providers with drop-in OpenAI-compatible API
✅ Mature gateway runtime with rate-limiting, caching, auth, and observability baked in
✅ Self-hostable OSS core; no hard dependency on a SaaS control plane
✅ First-class MCP and agent-to-agent traffic management