AI agents comparison
AnythingLLM vs Cherry Studio: 2026 comparison
Across 11 comparable criteria, AnythingLLM wins 4, Cherry Studio wins 5, with 2 ties. AnythingLLM leads on popularity (github stars), interfaces, and community (forks); Cherry Studio on activity over a year, releases (6 months), and last commit.
AnythingLLM and Cherry Studio in brief
AnythingLLM and Cherry Studio bring multiple models and agent functions into applications you can host yourself. Their emphasis differs. AnythingLLM explicitly connects models to documents and tools, with desktop, web and API interfaces. Cherry Studio concentrates conversations, specialized assistants and autonomous agent functions in a desktop application. Your choice therefore depends on how central documents are to your work and which access methods you need. The supplied records support that practical distinction, while leaving performance and the details of human approval unresolved.
AnythingLLM : A chat and agent application that connects local or hosted language models with documents and external tools.
Cherry Studio : A desktop application combining multi-model chat, specialized assistants, and autonomous agent capabilities.
They are often weighed against each other by people who hesitate. This page lines up their features point by point (11 criteria), with no partnership with either publisher.
Comparison table
| Criterion | AnythingLLM | Cherry Studio |
|---|---|---|
| Type | Chat interfaces · agent platform | Chat interfaces · agent platform |
| Publisher | Mintplex Labs | CherryHQ |
| Website | anythingllm.com | cherryai.com |
| Repository | Mintplex-Labs/anything-llm | CherryHQ/cherry-studio |
| Licence | MIT | AGPL-3.0 |
| Entry price | Free (model excluded) | Free (model excluded) |
| Interfaces | desktop app, web app, API | desktop app |
| Models | GPT (OpenAI), Claude (Anthropic), Gemini (Google), local models (Ollama, llama.cpp, vLLM…), OpenRouter, any OpenAI-compatible model | Claude (Anthropic), GPT (OpenAI), Gemini (Google), DeepSeek, local models (Ollama, llama.cpp, vLLM…), OpenRouter, any OpenAI-compatible model |
| Self-hostable | Yes | Yes |
| GitHub stars | 67,514 | 52,947 |
| Last commit | October 23, 2026 | October 24, 2026 |
| Latest release | v1.18.0 · October 13, 2026 | v2.1.7 · October 19, 2026 |
| Language | JavaScript | TypeScript |
| Launched | June 2023 | May 2024 |
| Site score | 89/100 | 88/100 |
Criterion by criterion
For each criterion: why it matters, each one's value and who has the edge. A criterion without data on both sides is not decided.
Popularity (GitHub stars)
Stars measure developer interest; a widely followed project has more tutorials, integrations and answers. AnythingLLM : 67.5K. Cherry Studio : 52.9K. Edge: AnythingLLM.
Activity over a year
Commits over 52 weeks show whether the project moves fast, fixes bugs and keeps up with new models. AnythingLLM : 885 commits. Cherry Studio : 4,651 commits. Edge: Cherry Studio.
Releases (6 months)
Regular releases signal a project that ships; very frequent releases can also mean frequent updates on your side. AnythingLLM : 10. Cherry Studio : 25. Edge: Cherry Studio.
Last commit
A repository with no commit for months may fall behind new APIs and security fixes. AnythingLLM : October 23, 2026. Cherry Studio : October 24, 2026. Edge: Cherry Studio.
License
A clear open-source license (MIT, Apache…) allows commercial use and modification; without one, usage rights are unclear. AnythingLLM : MIT. Cherry Studio : AGPL-3.0. A tie on this point.
Self-hosting
Running the agent on your machine or server keeps your files and keys with you. AnythingLLM : yes. Cherry Studio : yes. A tie on this point.
Supported models
An agent that accepts several model families lets you pick the best value, or a local model. AnythingLLM : 6. Cherry Studio : 7. Edge: Cherry Studio.
Interfaces
Terminal, code editor, web app or chat: more interfaces mean more ways to fit it into your work. AnythingLLM : 3. Cherry Studio : 1. Edge: AnythingLLM.
Risk level
Our risk level considers the access granted (terminal, files, network) and default human approval. AnythingLLM : moderate. Cherry Studio : low. Edge: Cherry Studio.
Community (forks)
Forks count developers who copied the project to adapt it: a sign of a living ecosystem. AnythingLLM : 7.6K. Cherry Studio : 5.1K. Edge: AnythingLLM.
Track record
An older project has had time to fix early flaws; a recent one often brings the latest ideas. AnythingLLM : June 2023. Cherry Studio : May 2024. Edge: AnythingLLM.
In charts
Our analysis
AnythingLLM, published by Mintplex Labs, describes a chat and agent application connecting local or remote models to documents and tools. Cherry Studio, from CherryHQ, emphasizes desktop conversations with multiple models, specialized assistants and autonomous functions. Both records list GPT, Claude, Gemini, local models and OpenRouter. Cherry Studio also explicitly lists DeepSeek. That additional entry tells you what is documented; it does not establish that AnythingLLM cannot use a model absent from its list. The clearest distinction for prospective users is therefore between the documented emphasis on documents and tools and the desktop emphasis on specialized assistants and autonomous agent functions.
AnythingLLM has 67,514 GitHub stars and 7,570 forks, compared with Cherry Studio’s 52,947 stars and 5,120 forks. Its visible community is larger, while the development counters point in another direction. AnythingLLM records 885 commits over twelve months and 10 releases over six months; Cherry Studio records 4,651 commits and 25 releases. Their latest commits are dated October 23 and October 24, 2026, respectively. Those totals do not measure reliability or product quality. The scores of 89 and 88 concern popularity, activity and project framework. No price is published in either of the supplied records.
Both projects are described as open source and self-hostable. AnythingLLM lists an MIT license, while Cherry Studio lists AGPL-3.0. Their declared licensing frameworks therefore deserve separate consideration for your intended use. Self-hosting alone does not establish that all information remains local when remote models are involved. AnythingLLM declares file and network access and carries a medium risk classification associated with web use. Cherry Studio is classified as low risk, but its access permissions are not detailed. Human approval arrangements are unspecified for both. An empty permissions list cannot establish that an application requires no permissions or provides particular safeguards.
AnythingLLM documents three ways to work: desktop, web and API. That range matters if your organization uses different access methods or expects a technical integration. Its stated connections to documents and tools also address a clearly identified workflow. Cherry Studio fits a desktop routine built around specialized assistants and autonomous agent functions. The record does not explain human approval for those functions, so that remains a question when assessing delegation. AnythingLLM’s file and network access should likewise inform the scope you give it. Neither record establishes which application is easier to install, more reliable or faster in everyday use.
Depending on your situation
The right choice depends on use. For a few common situations, here are the criteria that matter and who wins (AnythingLLM value / Cherry Studio value).
Trying it out quickly
Here, AnythingLLM has the edge: it wins 2 of the 3 criteria that matter in this situation, namely interfaces (3 / 1), supported models (6 / 7), and popularity (github stars) (67.5K / 52.9K).
Production use
Here, Cherry Studio has the edge: it wins 3 of the 4 criteria that matter in this situation, namely activity over a year (885 commits / 4,651 commits), last commit (October 23, 2026 / October 24, 2026), license (MIT / AGPL-3.0), and releases (6 months) (10 / 25).
Security and control
Here, Cherry Studio has the edge: it wins 1 of the 2 criteria that matter in this situation, namely risk level (moderate / low) and self-hosting (yes / yes).
Which one to choose?
Choose AnythingLLM if…
- you value popularity (github stars) (67.5K)
- you value interfaces (3)
- you value community (forks) (7.6K)
- you value track record (June 2023)
AnythingLLM makes sense when you want documents and tools connected to conversations and agents, with a choice of desktop, web or API access. It also fits a preference for the declared MIT licensing framework. Its documented file and network permissions should be part of your decision, particularly when defining which information and resources the application will be allowed to use.
Choose Cherry Studio if…
- you value activity over a year (4,651 commits)
- you value releases (6 months) (25)
- you value last commit (October 24, 2026)
- you value supported models (7)
- you value risk level (low)
Cherry Studio is a logical choice for work centered on a desktop application, specialized assistants and autonomous functions. Its documented model options include DeepSeek alongside several choices shared with AnythingLLM. The supplied counters also show more commits and releases over the measured periods. That provides a development activity signal, without proving that the application is more stable or produces better results.
Strengths and limits of each
AnythingLLM
- + Widely followed: 67.5K stars
- + Very active development
- + Frequent releases (17 in a year)
Cherry Studio
- + Widely followed: 52.9K stars
- + Very active development
- + Frequent releases (25 in a year)
- − 1,440 open issues
The best test is still yours: take three real tasks from your day and give them to both for a week. Our “Which AI agent?” quiz can also guide you.
What about the others?
If neither suits you, look at AionUi, Happy, Open WebUI, CopilotKit, big-AGI, and Locally Uncensored.
Related comparisons:
Conclusion
AnythingLLM stands out through its documented document and tool connections and its three interfaces. Cherry Studio emphasizes desktop assistants and shows more commits and releases over the measured periods. Those differences are more informative than the single point separating their popularity, activity and framework scores. Match the application to your working routine, then examine the relevant license, permissions and arrangements for approving actions before deciding how much responsibility to delegate.
Verdict
Cherry Studio leads on more criteria (5 of 11). That does not make it the best choice for everyone: look first at the criteria that matter to you.
Full profiles
Learn more
Frequently asked questions
AnythingLLM or Cherry Studio: which is better?
Cherry Studio leads on more criteria (5 of 11). That does not make it the best choice for everyone: look first at the criteria that matter to you.
What is the main difference between AnythingLLM and Cherry Studio?
AnythingLLM leads on popularity (github stars) (67.5K vs 52.9K), Cherry Studio on activity over a year (4,651 commits vs 885 commits).
Which one protects my data better?
Self-hosting: AnythingLLM, yes; Cherry Studio, yes. For sensitive data, also check the publisher's data processing agreement.
What alternative to AnythingLLM and Cherry Studio?
In the same family: AionUi, Happy, and Open WebUI.
Related articles
- Open source or proprietary AI agent: how to decideOctober 25, 2026
- AI agent vs. chatbot: what's the difference?October 24, 2026
- Autonomous AI agents: how much should you let them do?October 12, 2026
- AI agent memory: how agents remember (and forget)October 11, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score