Ross ROSS = Recommend OSS · open-source software intelligence for agents

katanemo/plano

Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic. observed · 2026-08-28

github.com/katanemo/plano · homepage · Rust · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

85/100

  • Activity 98
  • Release rhythm 86
  • Longevity 56
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 7.0
  • age_days: 785
  • days_rel: 14
  • days_push: 14
  • n_releases_24m: 73

Full methodology

Adoption not part of the score

7017 stars · 488 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Plano is an AI-native proxy server and data plane for agentic applications, built on Envoy by its core contributors. It centralizes agent routing and orchestration, LLM model routing, observability signals and traces, and guardrail filter chains so developers can ship agents to production without bespoke middleware.

Use cases

  • route requests to the right agent in a multi-agent system
  • proxy and load-balance across multiple LLM providers with model aliases
  • add guardrails and moderation filters to LLM traffic
  • capture traces and agentic signals for observability
  • standardize LLM access behind an OpenAI-compatible gateway
  • turn prompts into deterministic API function calls
  • deploy agents on-premises with centralized policy control

When to choose

  • you run multiple agents or LLM providers and need unified routing and failover
  • you want zero-code observability, tracing, and metrics across agentic apps
  • you need centralized guardrails, moderation, and access policies
  • you want framework-agnostic infrastructure that works with any language or AI framework
  • you need on-premises or self-hosted delivery infrastructure for regulated environments

When to avoid

  • you have a single-model, single-agent prototype with no production concerns
  • you need a client-side SDK embedded in application code rather than a network proxy
  • you require Windows-native deployment without Docker
  • you want a full agent framework with built-in agent code abstractions rather than a data plane

Facets

service · maturity active

proxy api-gateway routing middleware tracing monitoring llm-inference agent-framework security large-language-models developer-tools infrastructure-as-code self-hosted apis networking self-hosted cloud cli llm-gateway ai-gateway llm-routing envoy agentic-apps guardrails llmops dataplane openai-compatible rust ai-agents linux macos docker

4 sources

Member repositories

RepositoryRoleHealth v2
katanemo/planomain85

For agents

markdown · JSON · MCP: product_card(name="katanemo/plano")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem