Home/Compare/arthas vs anything-llm

Comparison

arthas vs anything-llm

Verdict

Pick arthas if arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics; 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.

Markdown twin · arthas alternatives · anything-llm alternatives

GraphCanon updated Sep 20, 2026

9views this month

arthas logo

arthas

alibaba/arthas

★ 37kpushed Aug 14, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026

Trust & integrity

Signalarthasanything-llm
Maintenance
Very active (4d since push)
As of Aug 19, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 19, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

arthas
Alibaba Java Diagnostic Tool Arthas
anything-llm
Self-hosted AI agent experience

Stars

arthas
37k
anything-llm
66k

Forks

arthas
7.6k
anything-llm
7.3k

Open issues

arthas
485
anything-llm
315

Language

arthas
Java
anything-llm
JavaScript

Adopt for

arthas
Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics.
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.

Persona

arthas
-
anything-llm
-

Runtime

arthas
-
anything-llm
-

License

arthas
Apache-2.0
anything-llm
MIT License, allowing for free use, modification, and distribution.

Last pushed

arthas
Aug 14, 2026
anything-llm
Sep 17, 2026

Categories

arthas
Developer Tools
anything-llm
AI Agents, Developer Tools, Inference & Serving

Trust and health

Days since push

arthas
4d
anything-llm
0d

Open issues (now)

arthas
485
anything-llm
315

Stars delta

arthas
+56 (30d)
anything-llm
+1.5k (30d)

Open issues delta

arthas
+4 (30d)
anything-llm
-4 (30d)

Full report

anything-llm
Trust report

Choose arthas if…

  • arthas is primarily Java; anything-llm is JavaScript.
  • License: arthas is Apache-2.0, anything-llm is MIT.
  • Requirements: Min 1 GB RAM.
  • Tags unique to arthas: agent, diagnosis, java, jvm.
  • arthas ships Docker support for self-hosted deployment.
  • Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis.

When NOT to use arthas

  • Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features.
  • Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value.

Choose anything-llm if…

  • anything-llm is primarily JavaScript; arthas is Java.
  • License: anything-llm is MIT, arthas is Apache-2.0.
  • 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, Inference & Serving.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: arthas 37k · anything-llm 66k (synced Sep 20, 2026).

Common questions

What is the difference between arthas and anything-llm?
arthas: Alibaba Java Diagnostic Tool Arthas. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories.
When should I choose arthas over anything-llm?
Choose arthas over anything-llm when arthas is primarily Java; anything-llm is JavaScript; License: arthas is Apache-2.0, anything-llm is MIT; Requirements: Min 1 GB RAM; Tags unique to arthas: agent, diagnosis, java, jvm; arthas ships Docker support for self-hosted deployment; Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis.
When should I choose anything-llm over arthas?
Choose anything-llm over arthas when anything-llm is primarily JavaScript; arthas is Java; License: anything-llm is MIT, arthas is Apache-2.0; 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, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
When should I avoid arthas?
Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value.
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.
Is arthas or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 37,492). Stars measure visibility, not whether either tool fits your constraints.
Are arthas and anything-llm open source?
Yes - both are open-source projects on GitHub (arthas: Apache-2.0, anything-llm: MIT).
Where can I find alternatives to arthas or anything-llm?
GraphCanon lists graph-backed alternatives at arthas alternatives and anything-llm alternatives (arthas markdown twin, anything-llm 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, arthas or anything-llm?
arthas: Very active. anything-llm: 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 arthas and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arthas trust report; anything-llm trust report.

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