--- title: "anything-llm vs ART" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-openpipe-art" tools: ["mintplex-labs-anything-llm", "openpipe-art"] --- # anything-llm vs ART *GraphCanon updated Aug 19, 2026* ## Verdict Pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments; pick ART if aRT is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. [anything-llm](https://anythingllm.com) reports 65k GitHub stars, 7.1k forks, and 319 open issues, last pushed Aug 13, 2026. [ART](https://art.openpipe.ai) has 11k stars, 974 forks, and 127 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [ART's repository](https://github.com/OpenPipe/ART). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [ART](/tools/openpipe-art.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. | | Stars | 64,716 | 10,603 | | Forks | 7,132 | 974 | | Open issues | 319 | 127 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Inference & Serving | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [ART](/tools/openpipe-art.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 319 | 127 | | Stars delta | +1.4k (30d) | +109 (30d) | | Open issues delta | +2 (30d) | +6 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/openpipe-art/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Decision facts: ART - **Adopt for:** ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; ART is Python. - License: anything-llm is MIT, ART is Apache-2.0. - Tags unique to anything-llm: agent-computer, agent-harness, llm, local-ai. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### Choose ART if… - ART is primarily Python; anything-llm is JavaScript. - License: ART is Apache-2.0, anything-llm is MIT. - Tags unique to ART: agent, grpo, llms, lora. - Also covers Model Training. - - When you need a framework that specifically supports the GRPO method for agent reinforcement learning. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## When NOT to use ART - - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp ## Common questions ### What is the difference between anything-llm and ART? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. ART: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over ART? Choose anything-llm over ART when anything-llm is primarily JavaScript; ART is Python; License: anything-llm is MIT, ART is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, llm, local-ai; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I choose ART over anything-llm? Choose ART over anything-llm when ART is primarily Python; anything-llm is JavaScript; License: ART is Apache-2.0, anything-llm is MIT; Tags unique to ART: agent, grpo, llms, lora; Also covers Model Training; - When you need a framework that specifically supports the GRPO method for agent reinforcement learning. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### When should I avoid ART? - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp ### Is anything-llm or ART more popular on GitHub? anything-llm has more GitHub stars (64,716 vs 10,603). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and ART open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, ART: Apache-2.0). ### Where can I find alternatives to anything-llm or ART? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [ART alternatives](/tools/openpipe-art/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [ART markdown twin](/tools/openpipe-art/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/mintplex-labs-anything-llm-vs-openpipe-art.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or ART? anything-llm: Very active. ART: 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 anything-llm and ART? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [ART trust report](/tools/openpipe-art/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_