Comparison
Foundry-Local vs BrowserAI
Verdict
Pick Foundry-Local if foundry-Local offers SDK and CLI for local GPU-accelerated AI inference, focusing on speech-to-text models such as Whisper, using ONNX Runtime; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript.
Markdown twin · Foundry-Local alternatives · BrowserAI alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Foundry-Local | BrowserAI |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Steady (34d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1d · 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
- Foundry-Local
- SDK and CLI for local AI inference with GPU acceleration, supporting speech-to-text models like Whisper.
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
Stars
- Foundry-Local
- 2.5k
- BrowserAI
- 1.4k
Forks
- Foundry-Local
- 348
- BrowserAI
- 138
Open issues
- Foundry-Local
- 71
- BrowserAI
- 24
Language
- Foundry-Local
- C++
- BrowserAI
- TypeScript
Adopt for
- Foundry-Local
- Foundry-Local offers SDK and CLI for local GPU-accelerated AI inference, focusing on speech-to-text models such as Whisper, using ONNX Runtime.
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
Persona
- Foundry-Local
- -
- BrowserAI
- -
Runtime
- Foundry-Local
- -
- BrowserAI
- -
License
- Foundry-Local
- SDK is licensed under the MIT License. The CLI uses the Microsoft Software License Terms. Models available with Foundry-Local are individually licensed as per their documentation or download page.
- BrowserAI
- MIT
Last pushed
- Foundry-Local
- Jul 30, 2026
- BrowserAI
- Jul 21, 2026
Categories
- Foundry-Local
- Inference & Serving, Speech & Audio
- BrowserAI
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- Foundry-Local
- Very active (96%)
- BrowserAI
- Steady (60%)
Days since push
- Foundry-Local
- 0d
- BrowserAI
- 34d
Open issues (now)
- Foundry-Local
- 71
- BrowserAI
- 24
Stars delta
- Foundry-Local
- Unknown
- BrowserAI
- +3 (30d)
Open issues delta
- Foundry-Local
- Unknown
- BrowserAI
- 0 (30d)
Owner type
- Foundry-Local
- Organization
- BrowserAI
- User
Full report
- Foundry-Local
- Trust report
- BrowserAI
- Trust report
Choose Foundry-Local if…
- Foundry-Local is primarily C++; BrowserAI is TypeScript.
- License: Foundry-Local is Other, BrowserAI is MIT.
- Pricing: Free to use SDK and CLI under MIT and Microsoft licenses, individual AI models subject to their own license terms..
- Tags unique to Foundry-Local: ai-sdk, chat-completions, foundry-local, gpu acceleration.
- Also covers Speech & Audio.
- Need to run AI models locally with GPU acceleration
When NOT to use Foundry-Local
- Require cloud-based inference services for resource-intensive tasks
- Prefer using models not supported by ONNX Runtime or Whisper
Choose BrowserAI if…
- BrowserAI is primarily TypeScript; Foundry-Local is C++.
- License: BrowserAI is MIT, Foundry-Local is Other.
- Tags unique to BrowserAI: agents, ai, llm-inference, local.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/Foundry-Local) · observed Jul 30, 2026
- GitHub forks (microsoft/Foundry-Local) · observed Jul 30, 2026
- Last push (microsoft/Foundry-Local) · observed Jul 30, 2026
- License file (Other) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sauravpanda/BrowserAI) · observed Aug 25, 2026
- GitHub forks (sauravpanda/BrowserAI) · observed Aug 25, 2026
- Last push (sauravpanda/BrowserAI) · observed Jul 21, 2026
- License file (MIT) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Foundry-Local 2.5k · BrowserAI 1.4k (synced Jul 30, 2026).
Common questions
- What is the difference between Foundry-Local and BrowserAI?
- Foundry-Local: SDK and CLI for local AI inference with GPU acceleration, supporting speech-to-text models like Whisper.. BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. See the comparison table for live GitHub stats and shared categories.
- When should I choose Foundry-Local over BrowserAI?
- Choose Foundry-Local over BrowserAI when Foundry-Local is primarily C++; BrowserAI is TypeScript; License: Foundry-Local is Other, BrowserAI is MIT; Pricing: Free to use SDK and CLI under MIT and Microsoft licenses, individual AI models subject to their own license terms.; Tags unique to Foundry-Local: ai-sdk, chat-completions, foundry-local, gpu acceleration; Also covers Speech & Audio; Need to run AI models locally with GPU acceleration.
- When should I choose BrowserAI over Foundry-Local?
- Choose BrowserAI over Foundry-Local when BrowserAI is primarily TypeScript; Foundry-Local is C++; License: BrowserAI is MIT, Foundry-Local is Other; Tags unique to BrowserAI: agents, ai, llm-inference, local; Also covers LLM Frameworks; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
- When should I avoid Foundry-Local?
- Require cloud-based inference services for resource-intensive tasks Prefer using models not supported by ONNX Runtime or Whisper
- 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.
- Is Foundry-Local or BrowserAI more popular on GitHub?
- Foundry-Local has more GitHub stars (2,479 vs 1,449). Stars measure visibility, not whether either tool fits your constraints.
- Are Foundry-Local and BrowserAI open source?
- Yes - both are open-source projects on GitHub (Foundry-Local: Other, BrowserAI: MIT).
- Where can I find alternatives to Foundry-Local or BrowserAI?
- GraphCanon lists graph-backed alternatives at Foundry-Local alternatives and BrowserAI alternatives (Foundry-Local markdown twin, BrowserAI 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, Foundry-Local or BrowserAI?
- Foundry-Local: Very active. BrowserAI: 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 Foundry-Local and BrowserAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Foundry-Local trust report; BrowserAI trust report.