Comparison
arthas vs agents
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 agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode.
Markdown twin · arthas alternatives · agents alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | arthas | agents |
|---|---|---|
| Maintenance | Very active (4d since push) As of 2d · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Personal account As of 2d · 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
- arthas
- Alibaba Java Diagnostic Tool Arthas
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- arthas
- 37k
- agents
- 39k
Forks
- arthas
- 7.6k
- agents
- 4.1k
Open issues
- arthas
- 485
- agents
- 5
Language
- arthas
- Java
- agents
- Python
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.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- arthas
- -
- agents
- -
Runtime
- arthas
- -
- agents
- -
License
- arthas
- Apache-2.0
- agents
- MIT
Last pushed
- arthas
- Aug 14, 2026
- agents
- Aug 18, 2026
Categories
- arthas
- Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Days since push
- arthas
- 4d
- agents
- 1d
Open issues (now)
- arthas
- 485
- agents
- 5
Stars delta
- arthas
- +56 (30d)
- agents
- +860 (30d)
Open issues delta
- arthas
- +4 (30d)
- agents
- +2 (30d)
Owner type
- arthas
- Organization
- agents
- User
Full report
- arthas
- Trust report
- agents
- Trust report
Choose arthas if…
- arthas is primarily Java; agents is Python.
- License: arthas is Apache-2.0, agents 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 agents if…
- agents is primarily Python; arthas is Java.
- License: agents is MIT, arthas is Apache-2.0.
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- Also covers AI Agents.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaba/arthas) · observed Aug 19, 2026
- GitHub forks (alibaba/arthas) · observed Aug 19, 2026
- Last push (alibaba/arthas) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wshobson/agents) · observed Aug 19, 2026
- GitHub forks (wshobson/agents) · observed Aug 19, 2026
- Last push (wshobson/agents) · observed Aug 18, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: arthas 37k · agents 39k (synced Aug 19, 2026).
Common questions
- What is the difference between arthas and agents?
- arthas: Alibaba Java Diagnostic Tool Arthas. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose arthas over agents?
- Choose arthas over agents when arthas is primarily Java; agents is Python; License: arthas is Apache-2.0, agents 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 agents over arthas?
- Choose agents over arthas when agents is primarily Python; arthas is Java; License: agents is MIT, arthas is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
- 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 agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is arthas or agents more popular on GitHub?
- agents has more GitHub stars (38,928 vs 37,492). Stars measure visibility, not whether either tool fits your constraints.
- Are arthas and agents open source?
- Yes - both are open-source projects on GitHub (arthas: Apache-2.0, agents: MIT).
- Where can I find alternatives to arthas or agents?
- GraphCanon lists graph-backed alternatives at arthas alternatives and agents alternatives (arthas markdown twin, agents 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 agents?
- arthas: Very active. agents: 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 agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arthas trust report; agents trust report.