Comparison
anything-llm vs LLM-Hub
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 LLM-Hub if local AI assistant for mobile phones via C++, supports multiple models.
Markdown twin · anything-llm alternatives · LLM-Hub alternatives
GraphCanon updated Sep 20, 2026
6views this month
Trust & integrity
| Signal | anything-llm | LLM-Hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) 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
- anything-llm
- Self-hosted AI agent experience
- LLM-Hub
- Local AI Assistant on your phone
Stars
- anything-llm
- 66k
- LLM-Hub
- 588
Forks
- anything-llm
- 7.3k
- LLM-Hub
- 124
Open issues
- anything-llm
- 315
- LLM-Hub
- 38
Language
- anything-llm
- JavaScript
- LLM-Hub
- C++
Adopt for
- anything-llm
- 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.
- LLM-Hub
- Local AI assistant for mobile phones via C++, supports multiple models.
Persona
- anything-llm
- -
- LLM-Hub
- -
Runtime
- anything-llm
- -
- LLM-Hub
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- LLM-Hub
- Other
Last pushed
- anything-llm
- Sep 17, 2026
- LLM-Hub
- Sep 19, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- LLM-Hub
- Developer Tools, Inference & Serving
Trust and health
Open issues (now)
- anything-llm
- 315
- LLM-Hub
- 38
Stars delta
- anything-llm
- +1.5k (30d)
- LLM-Hub
- +74 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- LLM-Hub
- +7 (30d)
Owner type
- anything-llm
- Organization
- LLM-Hub
- User
Full report
- anything-llm
- Trust report
- LLM-Hub
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; LLM-Hub is C++.
- License: anything-llm is MIT, LLM-Hub 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.
- When you need a local-first AI agent experience that you can fully control and customize.
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.
Choose LLM-Hub if…
- LLM-Hub is primarily C++; anything-llm is JavaScript.
- License: LLM-Hub is Other, anything-llm is MIT.
- Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4.
- You need local deployment of LLMs on mobile devices without relying on cloud services.
When NOT to use LLM-Hub
- Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally.
- If your application is not compatible with or cannot be adapted to a C++ environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (timmyy123/LLM-Hub) · observed Sep 20, 2026
- GitHub forks (timmyy123/LLM-Hub) · observed Sep 20, 2026
- Last push (timmyy123/LLM-Hub) · observed Sep 19, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 66k · LLM-Hub 588 (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and LLM-Hub?
- anything-llm: Self-hosted AI agent experience. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over LLM-Hub?
- Choose anything-llm over LLM-Hub when anything-llm is primarily JavaScript; LLM-Hub is C++; License: anything-llm is MIT, LLM-Hub 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; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose LLM-Hub over anything-llm?
- Choose LLM-Hub over anything-llm when LLM-Hub is primarily C++; anything-llm is JavaScript; License: LLM-Hub is Other, anything-llm is MIT; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; You need local deployment of LLMs on mobile devices without relying on cloud services.
- 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 LLM-Hub?
- Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally. If your application is not compatible with or cannot be adapted to a C++ environment.
- Is anything-llm or LLM-Hub more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 588). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and LLM-Hub open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, LLM-Hub: Other).
- Where can I find alternatives to anything-llm or LLM-Hub?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and LLM-Hub alternatives (anything-llm markdown twin, LLM-Hub 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, anything-llm or LLM-Hub?
- anything-llm: Very active. LLM-Hub: 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 LLM-Hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; LLM-Hub trust report.