Kong AI Gateway vs LangGraph

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

	Kong AI Gateway Agents	LangGraph Agents
Tagline	Enterprise API gateway extended to route, govern, and observe LLM and agent traffic across providers.	Stateful, graph-based agent orchestration from LangChain.
Category	Agents	Agents
Pricing	Freemium· OSS free; Konnect usage-based; Enterprise quote-only	Freemium· Free open-source; LangGraph Platform paid
Model	Multi-model	BYO (Claude / GPT / open)
Editorial score	—	8.8 / 10
Use cases	llm-gatewaymulti-llm-routingai-observabilityprompt-guardrailsmcp-governancetoken-quotas	stateful agentshuman-in-loopproduction
Pros	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	Reliable, debuggable agent graphs Built-in persistence + HITL Production-grade Tight LangSmith integration
Cons	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	Steeper learning curve than CrewAI Verbose to set up
Website	konghq.com	www.langchain.com

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

Pick LangGraph if