When you build an app that uses several different AI agents working together, you quickly run into plumbing problems: which agent talks to which model, how do you watch what's happening when something goes wrong, how do you keep it all inside your own network for compliance. Plano is infrastructure built specifically to handle that plumbing, so your application code can focus on what the agents actually do. Plano is an AI-native proxy server and data plane for multi-agent applications, built on Envoy by contributors to that project. It handles agent orchestration and low-latency routing, model routing (by name, alias, or automatic preference), "Agentic Signals" for zero-code observability (OTEL traces and metrics without instrumenting your own code), and Filter Chains for moderation/safety policies. It supports on-premises deployment, which matters for regulated industries, and is framework-agnostic, working as a sidecar regardless of which agent framework you're using. It's open source (Apache-2.0) with adoption reported from companies like HuggingFace, T-Mobile, HP, and SanDisk, positioning it against alternatives like LangChain or LiteLLM for the specific job of production-grade multi-agent infrastructure rather than agent-building itself.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs | — | |
| 2 | Développeurs | — | |
| 3 | Développeurs | — | |
| 4 | Développeurs | — | |
| 5 | Développeurs | — |
