--- title: "plano vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/katanemo-plano-vs-mintplex-labs-anything-llm" tools: ["katanemo-plano", "mintplex-labs-anything-llm"] --- # plano vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local. [plano](https://planoai.dev) reports 7.1k GitHub stars, 483 forks, and 140 open issues, last pushed Aug 19, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [plano's repository](https://github.com/katanemo/plano) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [plano](/tools/katanemo-plano.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | An AI-native proxy and data plane for agentic apps | Self-hosted AI agent experience | | Stars | 7,058 | 66,167 | | Forks | 483 | 7,349 | | Open issues | 140 | 315 | | Language | Rust | JavaScript | | 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. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Evaluation & Observability, Inference & Serving | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [plano](/tools/katanemo-plano.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 31d | 0d | | Open issues (now) | 140 | 315 | | Stars delta | +54 (30d) | +1.5k (30d) | | Open issues delta | +2 (30d) | -4 (30d) | | Full report | [trust report](/tools/katanemo-plano/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## 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. ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose plano if… - plano is primarily Rust; anything-llm is JavaScript. - License: plano is Apache-2.0, anything-llm is MIT. - 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 Evaluation & Observability. - 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. ### Choose anything-llm if… - anything-llm is primarily JavaScript; plano is Rust. - License: anything-llm is MIT, plano is Apache-2.0. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers Developer Tools. - When you need a local-first AI agent experience that you can fully control and customize. ## 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 ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between plano and anything-llm? plano: An AI-native proxy and data plane for agentic apps. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose plano over anything-llm? Choose plano over anything-llm when plano is primarily Rust; anything-llm is JavaScript; License: plano is Apache-2.0, anything-llm is MIT; 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 Evaluation & Observability; 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 choose anything-llm over plano? Choose anything-llm over plano when anything-llm is primarily JavaScript; plano is Rust; License: anything-llm is MIT, plano is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools; When you need a local-first AI agent experience that you can fully control and customize. ### 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 ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is plano or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 7,058). Stars measure visibility, not whether either tool fits your constraints. ### Are plano and anything-llm open source? Yes - both are open-source projects on GitHub (plano: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to plano or anything-llm? GraphCanon lists graph-backed alternatives at [plano alternatives](/tools/katanemo-plano/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([plano markdown twin](/tools/katanemo-plano/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/katanemo-plano-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, plano or anything-llm? plano: Steady. anything-llm: 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 plano and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [plano trust report](/tools/katanemo-plano/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=katanemo-plano`](/api/graphcanon/graph?tool=katanemo-plano) - 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/_