---
title: "gate22 vs plano"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/aipotheosis-labs-gate22-vs-katanemo-plano"
tools: ["aipotheosis-labs-gate22", "katanemo-plano"]
---

# gate22 vs plano

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick gate22 if gate22 is an open-source MCP gateway and control plane for governing AI agents' tool usage and actions with comprehensive auditability; pick plano if plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features.

[gate22](https://gateway.aci.dev) reports 177 GitHub stars, 22 forks, and 23 open issues, last pushed Dec 12, 2025. [plano](https://planoai.dev) has 6.7k stars, 446 forks, and 133 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [gate22's repository](https://github.com/aipotheosis-labs/gate22) and [plano's repository](https://github.com/katanemo/plano).

| | [gate22](/tools/aipotheosis-labs-gate22.md) | [plano](/tools/katanemo-plano.md) |
| --- | --- | --- |
| Tagline | MCP gateway and control plane for agent governance | An AI-native proxy and data plane for agentic apps |
| Stars | 177 | 6,688 |
| Forks | 22 | 446 |
| Open issues | 23 | 133 |
| Language | TypeScript | Rust |
| Adopt for | Gate22 is an open-source MCP gateway and control plane for governing AI agents' tool usage and actions with comprehensive auditability. | Plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [gate22](/tools/aipotheosis-labs-gate22.md) | [plano](/tools/katanemo-plano.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 215d | 0d |
| Open issues (now) | 23 | 133 |
| Full report | [trust report](/tools/aipotheosis-labs-gate22/trust.md) | [trust report](/tools/katanemo-plano/trust.md) |

## Decision facts: gate22

- **Adopt for:** Gate22 is an open-source MCP gateway and control plane for governing AI agents' tool usage and actions with comprehensive auditability.

## Decision facts: plano

- **Pricing:** freemium - Freely available under Apache-2.0 license but potential for premium services around support and advanced features.
- **Requirements:** Min 1 GB RAM
- **Adopt for:** Plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features.

## Choose when

### Choose gate22 if…

- gate22 is primarily TypeScript; plano is Rust.
- Tags unique to gate22: agents, ai-agents, control-plane, gateway.
- When you need to standardize governance over the tools and actions across various AI environments such as agentic IDEs.

### Choose plano if…

- plano is primarily Rust; gate22 is TypeScript.
- Pricing: Freely available under Apache-2.0 license but potential for premium services around support and advanced features..
- Requirements: Min 1 GB RAM.
- Tags unique to plano: agency-apps, ai-gateway, llm-proxy, llm-routing.
- Also covers Inference & Serving.
- plano ships Docker support for self-hosted deployment.
- You are working on building complex multi-agent workflows where intelligent LLM (Language Model) routing is required.

## When NOT to use gate22

- For scenarios where a closed-source solution is preferred due to specific confidentiality or proprietary concerns.
- If the organization's tech stack does not align well with TypeScript, which Gate22 employs for its development.

## When NOT to use plano

- If your application does not require deep orchestration or smart routing between multiple models, choosing Plano might introduce unnecessary complexity.
- For scenarios where minimal intervention routing is preferred without advanced observability and guardrail features, this tool may over-deliver on certain functionalities, possibly increasing overhead

## Common questions

### What is the difference between gate22 and plano?

gate22: MCP gateway and control plane for agent governance. plano: An AI-native proxy and data plane for agentic apps. See the comparison table for live GitHub stats and shared categories.

### When should I choose gate22 over plano?

Choose gate22 over plano when gate22 is primarily TypeScript; plano is Rust; Tags unique to gate22: agents, ai-agents, control-plane, gateway; When you need to standardize governance over the tools and actions across various AI environments such as agentic IDEs.

### When should I choose plano over gate22?

Choose plano over gate22 when plano is primarily Rust; gate22 is TypeScript; Pricing: Freely available under Apache-2.0 license but potential for premium services around support and advanced features.; Requirements: Min 1 GB RAM; Tags unique to plano: agency-apps, ai-gateway, llm-proxy, llm-routing; Also covers Inference & Serving; plano ships Docker support for self-hosted deployment; You are working on building complex multi-agent workflows where intelligent LLM (Language Model) routing is required.

### When should I avoid gate22?

For scenarios where a closed-source solution is preferred due to specific confidentiality or proprietary concerns. If the organization's tech stack does not align well with TypeScript, which Gate22 employs for its development.

### When should I avoid plano?

If your application does not require deep orchestration or smart routing between multiple models, choosing Plano might introduce unnecessary complexity. For scenarios where minimal intervention routing is preferred without advanced observability and guardrail features, this tool may over-deliver on certain functionalities, possibly increasing overhead

### Is gate22 or plano more popular on GitHub?

plano has more GitHub stars (6,688 vs 177). Stars measure visibility, not whether either tool fits your constraints.

### Are gate22 and plano open source?

Yes - both are open-source projects on GitHub (gate22: Apache-2.0, plano: Apache-2.0).

### Where can I find alternatives to gate22 or plano?

GraphCanon lists graph-backed alternatives at [gate22 alternatives](/tools/aipotheosis-labs-gate22/alternatives) and [plano alternatives](/tools/katanemo-plano/alternatives) ([gate22 markdown twin](/tools/aipotheosis-labs-gate22/alternatives.md), [plano markdown twin](/tools/katanemo-plano/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/aipotheosis-labs-gate22-vs-katanemo-plano.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, gate22 or plano?

gate22: Slowing. plano: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for gate22 and plano?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gate22 trust report](/tools/aipotheosis-labs-gate22/trust); [plano trust report](/tools/katanemo-plano/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=aipotheosis-labs-gate22`](/api/graphcanon/graph?tool=aipotheosis-labs-gate22)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
