Comparison
BrowserAI vs SillyTavern
Verdict
Pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript; pick SillyTavern if sillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality,.
Markdown twin · BrowserAI alternatives · SillyTavern alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | BrowserAI | SillyTavern |
|---|---|---|
| Maintenance | Very active (4d since push) As of 3w · github_public_v1 | Steady (35d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
- SillyTavern
- LLM Frontend for Power Users
Stars
- BrowserAI
- 1.4k
- SillyTavern
- 32k
Forks
- BrowserAI
- 138
- SillyTavern
- 6.1k
Open issues
- BrowserAI
- 24
- SillyTavern
- 583
Language
- BrowserAI
- TypeScript
- SillyTavern
- JavaScript
Adopt for
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
- SillyTavern
- SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality,
Persona
- BrowserAI
- -
- SillyTavern
- -
Runtime
- BrowserAI
- -
- SillyTavern
- -
License
- BrowserAI
- MIT
- SillyTavern
- AGPL-3.0
Last pushed
- BrowserAI
- Jul 21, 2026
- SillyTavern
- Jul 11, 2026
Categories
- BrowserAI
- Inference & Serving, LLM Frameworks
- SillyTavern
- Inference & Serving
Trust and health
Maintenance
- BrowserAI
- Very active (96%)
- SillyTavern
- Steady (60%)
Days since push
- BrowserAI
- 4d
- SillyTavern
- 35d
Open issues (now)
- BrowserAI
- 24
- SillyTavern
- 583
Stars delta
- BrowserAI
- Unknown
- SillyTavern
- +1.4k (30d)
Open issues delta
- BrowserAI
- Unknown
- SillyTavern
- +52 (30d)
Owner type
- BrowserAI
- User
- SillyTavern
- Organization
Full report
- BrowserAI
- Trust report
- SillyTavern
- Trust report
Choose BrowserAI if…
- BrowserAI is primarily TypeScript; SillyTavern is JavaScript.
- License: BrowserAI is MIT, SillyTavern is AGPL-3.0.
- Tags unique to BrowserAI: agents, llm-inference, local, typescript.
- Also covers LLM Frameworks.
- You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
When NOT to use BrowserAI
- You require a server-based solution instead of in-browser execution for LLMs.
- The project involves extensive training tasks that are unsuitable for browser environments.
Choose SillyTavern if…
- SillyTavern is primarily JavaScript; BrowserAI is TypeScript.
- License: SillyTavern is AGPL-3.0, BrowserAI is MIT.
- Requirements: Min 4 GB RAM; Requires Docker; It is essential to have familiarity with Docker for setup and maintenance..
- Tags unique to SillyTavern: chat, llm.
- SillyTavern ships Docker support for self-hosted deployment.
- SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality,
When NOT to use SillyTavern
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (sauravpanda/BrowserAI) · observed Jul 25, 2026
- GitHub forks (sauravpanda/BrowserAI) · observed Jul 25, 2026
- Last push (sauravpanda/BrowserAI) · observed Jul 21, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SillyTavern/SillyTavern) · observed Aug 16, 2026
- GitHub forks (SillyTavern/SillyTavern) · observed Aug 16, 2026
- Last push (SillyTavern/SillyTavern) · observed Jul 11, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BrowserAI 1.4k · SillyTavern 32k (synced Jul 25, 2026).
Common questions
- What is the difference between BrowserAI and SillyTavern?
- BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. SillyTavern: LLM Frontend for Power Users. See the comparison table for live GitHub stats and shared categories.
- When should I choose BrowserAI over SillyTavern?
- Choose BrowserAI over SillyTavern when BrowserAI is primarily TypeScript; SillyTavern is JavaScript; License: BrowserAI is MIT, SillyTavern is AGPL-3.0; Tags unique to BrowserAI: agents, llm-inference, local, typescript; Also covers LLM Frameworks; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
- When should I choose SillyTavern over BrowserAI?
- Choose SillyTavern over BrowserAI when SillyTavern is primarily JavaScript; BrowserAI is TypeScript; License: SillyTavern is AGPL-3.0, BrowserAI is MIT; Requirements: Min 4 GB RAM; Requires Docker; It is essential to have familiarity with Docker for setup and maintenance.; Tags unique to SillyTavern: chat, llm; SillyTavern ships Docker support for self-hosted deployment; SillyTavern is a JavaScript-based frontend for managing and interacting with large language models (LLMs) that focuses on providing a user-friendly experience tailored to power users. Given its license and functionality,.
- When should I avoid BrowserAI?
- You require a server-based solution instead of in-browser execution for LLMs. The project involves extensive training tasks that are unsuitable for browser environments.
- When should I avoid SillyTavern?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is BrowserAI or SillyTavern more popular on GitHub?
- SillyTavern has more GitHub stars (32,190 vs 1,446). Stars measure visibility, not whether either tool fits your constraints.
- Are BrowserAI and SillyTavern open source?
- Yes - both are open-source projects on GitHub (BrowserAI: MIT, SillyTavern: AGPL-3.0).
- Where can I find alternatives to BrowserAI or SillyTavern?
- GraphCanon lists graph-backed alternatives at BrowserAI alternatives and SillyTavern alternatives (BrowserAI markdown twin, SillyTavern markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, BrowserAI or SillyTavern?
- BrowserAI: Very active. SillyTavern: Steady. 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 BrowserAI and SillyTavern?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BrowserAI trust report; SillyTavern trust report.