Comparison
BrowserAI vs langchaingo
Verdict
Pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Markdown twin · BrowserAI alternatives · langchaingo alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | BrowserAI | langchaingo |
|---|---|---|
| Maintenance | Steady (60d since push) As of Sep 19, 2026 · github_public_v1 | Slowing (239d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- langchaingo
- LangChain for Go, the easiest way to write LLM-based programs in Go
Stars
- BrowserAI
- 1.5k
- langchaingo
- 9.7k
Forks
- BrowserAI
- 136
- langchaingo
- 1.1k
Open issues
- BrowserAI
- 24
- langchaingo
- 413
Language
- BrowserAI
- TypeScript
- langchaingo
- Go
Adopt for
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
- langchaingo
- LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.
Persona
- BrowserAI
- -
- langchaingo
- -
Runtime
- BrowserAI
- -
- langchaingo
- -
License
- BrowserAI
- MIT
- langchaingo
- MIT
Last pushed
- BrowserAI
- Jul 21, 2026
- langchaingo
- Jan 11, 2026
Categories
- BrowserAI
- Inference & Serving, LLM Frameworks
- langchaingo
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- BrowserAI
- Steady (60%)
- langchaingo
- Slowing (36%)
Days since push
- BrowserAI
- 60d
- langchaingo
- 239d
Open issues (now)
- BrowserAI
- 24
- langchaingo
- 413
Stars delta
- BrowserAI
- +5 (30d)
- langchaingo
- +70 (30d)
Open issues delta
- BrowserAI
- 0 (30d)
- langchaingo
- +3 (30d)
OSV dependency advisories
- BrowserAI
- No lockfile (source not queried)
- langchaingo
- Published findings
Full report
- BrowserAI
- Trust report
- langchaingo
- Trust report
Choose BrowserAI if…
- BrowserAI is primarily TypeScript; langchaingo is Go.
- Tags unique to BrowserAI: agents, llm-inference, local, typescript.
- Also covers Inference & Serving.
- 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 langchaingo if…
- langchaingo is primarily Go; BrowserAI is TypeScript.
- Tags unique to langchaingo: go, golang, langchain.
- Also covers Developer Tools.
- - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
When NOT to use langchaingo
- - If your project strictly adheres to another programming language where other implementations of LangChain are available.
- - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
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 Sep 20, 2026
- GitHub forks (sauravpanda/BrowserAI) · observed Sep 20, 2026
- Last push (sauravpanda/BrowserAI) · observed Jul 21, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tmc/langchaingo) · observed Sep 20, 2026
- GitHub forks (tmc/langchaingo) · observed Sep 20, 2026
- Last push (tmc/langchaingo) · observed Jan 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BrowserAI 1.5k · langchaingo 9.7k (synced Sep 20, 2026).
Common questions
- What is the difference between BrowserAI and langchaingo?
- BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. langchaingo: LangChain for Go, the easiest way to write LLM-based programs in Go. See the comparison table for live GitHub stats and shared categories.
- When should I choose BrowserAI over langchaingo?
- Choose BrowserAI over langchaingo when BrowserAI is primarily TypeScript; langchaingo is Go; Tags unique to BrowserAI: agents, llm-inference, local, typescript; Also covers Inference & Serving; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
- When should I choose langchaingo over BrowserAI?
- Choose langchaingo over BrowserAI when langchaingo is primarily Go; BrowserAI is TypeScript; Tags unique to langchaingo: go, golang, langchain; Also covers Developer Tools; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
- 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 langchaingo?
- - If your project strictly adheres to another programming language where other implementations of LangChain are available. - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
- Is BrowserAI or langchaingo more popular on GitHub?
- langchaingo has more GitHub stars (9,670 vs 1,451). Stars measure visibility, not whether either tool fits your constraints.
- Are BrowserAI and langchaingo open source?
- Yes - both are open-source projects on GitHub (BrowserAI: MIT, langchaingo: MIT).
- Where can I find alternatives to BrowserAI or langchaingo?
- GraphCanon lists graph-backed alternatives at BrowserAI alternatives and langchaingo alternatives (BrowserAI markdown twin, langchaingo 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 langchaingo?
- BrowserAI: Steady. langchaingo: Slowing. 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 langchaingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BrowserAI trust report; langchaingo trust report.