agentgateway
★ 5.5k
vs
agent
★ 1.8k
agentgateway vs agent
agentgateway: Agentgateway is an open-source proxy offering a complete connectivity solution for Agentic AI, built on AI-native protocols like MCP and A2A. It provides security, observability, and governance for agent-to-LLM, agent-to-tool, and agent-to-agent communication across various frameworks.; agent: Stakpak is a secure, open-source AI agent designed for DevOps, allowing developers to deploy and run infrastructure directly from the terminal. It provides robust security features like secret substitution and network-level guardrails, ensuring AI interactions with production environments are safe and controlled.
Editorial Head-to-Head Analysis
agentgateway sits between agents and tools and enforces policy for any agent. Stakpak is itself an agent with guardrails built in.
01
TL;DR
agentgatewayObservability · ★ 5.5k
When to choose:
- You want one proxy for LLM calls (OpenAI-compatible API with spend controls, failover and load balancing), MCP tools and A2A traffic.
- You need guardrails from several sources: regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor or webhooks.
- You need security and observability built in: JWT, API keys, OAuth, RBAC with a CEL policy engine, rate limiting, TLS and OpenTelemetry.
When to skip:
- You only need to bridge one MCP transport: a small proxy is simpler.
- You want the inference-routing features without Kubernetes: the README ties them to Kubernetes Inference Gateway extensions.
- You want detailed setup instructions in the README: it is short and points to the documentation site.
agentDev Tooling · ★ 1.8k
When to choose:
- You want a terminal agent for infrastructure work: infrastructure code, Kubernetes debugging, CI/CD and deployments.
- You want the model to use credentials without seeing them: secret substitution and a privacy mode that redacts IPs and account IDs.
- You want network-level guardrails that block destructive operations before they run.
When to skip:
- You need clear reuse terms: our data notes that GitHub does not detect a licence, so check before reuse.
- Your sessions must not go through a third party: using a Stakpak API key routes them through their service; bring your own keys instead.
- You need an actively updated tool: our data shows the last push on 2026-07-06.
02
Side-by-Side Comparison
Field
agentgatewayagentCategory
Observability
Dev Tooling
Stars
★ 5.5k
★ 1.8k
License
Apache-2.0
Apache-2.0
Install Command
curl -sL https://agentgateway.dev/install.sh | bash -s -- --install-path /usr/local/bin
curl -sSL https://stakpak.dev/install.sh | sh
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Tags
AI Gateway, Multi-Agent Communication, LLM Proxy
AI Agent, DevOps, Security
03
Features
agentgateway01LLM Gateway: Route traffic to major LLM providers through a unified OpenAI-compatible API with budget controls, load balancing, and failover.
02MCP Gateway: Connect LLMs to tools and external data sources via MCP with OpenAPI integration and OAuth authentication.
03A2A Gateway: Enable secure agent-to-agent communication using A2A, with capability discovery, modality negotiation, and task collaboration.
04Guardrails: Multi-layered content filtering with regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor, and custom webhooks.
05Security & Observability: Provide authentication (JWT, API keys, OAuth), fine-grained RBAC, rate limiting, TLS, and OpenTelemetry metrics/logs/tracing.
agent01Secret Substitution: The LLM works with your credentials without ever seeing them.
02Warden Guardrails: Network-level policies block destructive operations before they run.
03DevOps Playbooks & Rulebooks: Curated library of DevOps knowledge and customizable agent behavior.
04Infrastructure Code Indexing: Automatic local indexing and semantic search for various infrastructure code.
05Asynchronous Task Management & Real-time Progress Streaming: Manage background commands and get real-time progress updates.
04
Use Cases
agentgateway↳Managing and routing traffic to multiple LLM providers with a unified API and cost controls.
↳Enabling secure and standardized communication between AI agents and external tools/data sources.
↳Facilitating collaborative task execution among multiple AI agents across different environments.
↳Implementing intelligent inference routing for self-hosted models based on resource utilization.
↳Applying multi-layered content filtering and moderation for AI interactions to ensure safety and compliance.
agent↳Generating infrastructure code (Terraform, Kubernetes, Dockerfile).
↳Debugging Kubernetes and configuring CI/CD pipelines.
↳Automating secure and controlled infrastructure deployments.
05
Best For
agentgatewayEssentialTrending
agent—
FAQ
FAQ
What is the difference between agentgateway and agent?
agentgateway sits between agents and tools and enforces policy for any agent. Stakpak is itself an agent with guardrails built in.
Which is better, agentgateway or agent?
The best choice depends on your use case. Choose agentgateway if Managing and routing traffic to multiple LLM providers with a unified API and cost controls., and agent if Generating infrastructure code (Terraform, Kubernetes, Dockerfile)..
Is agentgateway free or open source?
Yes, agentgateway is open source on GitHub (Apache-2.0).
Is agent free or open source?
Yes, agent is open source on GitHub (Apache-2.0).
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