--- title: "anything-llm vs rhesis" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-rhesis-ai-rhesis" tools: ["mintplex-labs-anything-llm", "rhesis-ai-rhesis"] --- # anything-llm vs rhesis *GraphCanon updated Sep 20, 2026* ## Verdict 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 control over their AI workflows; pick rhesis if rhesis is a collaboration layer for AI teams to annotate, review, and improve agent behavior through a feedback loop, hypothesis testing, and systematic evaluation. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [rhesis](https://www.rhesis.ai/) has 392 stars, 34 forks, and 57 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [rhesis's repository](https://github.com/rhesis-ai/rhesis). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [rhesis](/tools/rhesis-ai-rhesis.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Collaboration layer for AI teams to annotate, review, and improve agent behavior | | Stars | 66,167 | 392 | | Forks | 7,349 | 34 | | Open issues | 315 | 57 | | Language | JavaScript | Python | | 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. | Rhesis is a collaboration layer for AI teams to annotate, review, and improve agent behavior through a feedback loop, hypothesis testing, and systematic evaluation. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | Other | | Categories | AI Agents, Developer Tools, Inference & Serving | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [rhesis](/tools/rhesis-ai-rhesis.md) | | --- | --- | --- | | Open issues (now) | 315 | 57 | | Stars delta | +1.5k (30d) | +11 (30d) | | Open issues delta | -4 (30d) | -42 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/rhesis-ai-rhesis/trust.md) | ## 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. ## Decision facts: rhesis - **Pricing:** unknown - Pricing details are not provided in the repository data. - **Requirements:** Requires Docker; The platform can be started locally using Docker with the command `./rh start`. - **Adopt for:** Rhesis is a collaboration layer for AI teams to annotate, review, and improve agent behavior through a feedback loop, hypothesis testing, and systematic evaluation. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; rhesis is Python. - License: anything-llm is MIT, rhesis is Other. - 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 AI Agents, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose rhesis if… - rhesis is primarily Python; anything-llm is JavaScript. - License: rhesis is Other, anything-llm is MIT. - Pricing: Pricing details are not provided in the repository data.. - Requirements: Requires Docker; The platform can be started locally using Docker with the command `./rh start`.. - Tags unique to rhesis: annotations, feedback-loop, hypothesis-testing, llmops. - Also covers Evaluation & Observability. - rhesis ships Docker support for self-hosted deployment. - When your team requires a structured feedback loop for continuous improvement of AI agent behavior. ## 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. ## When NOT to use rhesis - If your team does not require a collaborative platform for annotating and reviewing AI behavior. - When you are looking for a tool that focuses solely on model training without the need for a feedback loop or systematic evaluation. - If your project does not involve domain experts who can provide annotations and reviews to improve AI behavior. ## Common questions ### What is the difference between anything-llm and rhesis? anything-llm: Self-hosted AI agent experience. rhesis: Collaboration layer for AI teams to annotate, review, and improve agent behavior. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over rhesis? Choose anything-llm over rhesis when anything-llm is primarily JavaScript; rhesis is Python; License: anything-llm is MIT, rhesis is Other; 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 AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose rhesis over anything-llm? Choose rhesis over anything-llm when rhesis is primarily Python; anything-llm is JavaScript; License: rhesis is Other, anything-llm is MIT; Pricing: Pricing details are not provided in the repository data.; Requirements: Requires Docker; The platform can be started locally using Docker with the command `./rh start`.; Tags unique to rhesis: annotations, feedback-loop, hypothesis-testing, llmops; Also covers Evaluation & Observability; rhesis ships Docker support for self-hosted deployment; When your team requires a structured feedback loop for continuous improvement of AI agent behavior. ### 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. ### When should I avoid rhesis? If your team does not require a collaborative platform for annotating and reviewing AI behavior. When you are looking for a tool that focuses solely on model training without the need for a feedback loop or systematic evaluation. If your project does not involve domain experts who can provide annotations and reviews to improve AI behavior. ### Is anything-llm or rhesis more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 392). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and rhesis open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, rhesis: Other). ### Where can I find alternatives to anything-llm or rhesis? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [rhesis alternatives](/tools/rhesis-ai-rhesis/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [rhesis markdown twin](/tools/rhesis-ai-rhesis/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-rhesis-ai-rhesis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or rhesis? anything-llm: Very active. rhesis: 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 rhesis? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [rhesis trust report](/tools/rhesis-ai-rhesis/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/_