Comparison
agents vs rm-safely
Verdict
Pick agents when agents is primarily Python; rm-safely is Shell; pick rm-safely when rm-safely is primarily Shell; agents is Python.
Markdown twin · agents alternatives · rm-safely alternatives
GraphCanon updated today
Trust & integrity
| Signal | agents | rm-safely |
|---|---|---|
| Maintenance | Very active (2d since push) As of 4d · github_public_v1 | Steady (46d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- agents
- Multi-harness agentic plugin marketplace for various AI agents
- rm-safely
- 'rm' safely – a safety net for rm
Stars
- agents
- 38k
- rm-safely
- 100
Forks
- agents
- 4.0k
- rm-safely
- 3
Open issues
- agents
- 1
- rm-safely
- 0
Language
- agents
- Python
- rm-safely
- Shell
Adopt for
- 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
- rm-safely
- -
Persona
- agents
- -
- rm-safely
- -
Runtime
- agents
- -
- rm-safely
- -
License
- agents
- MIT
- rm-safely
- MIT
Last pushed
- agents
- Jul 8, 2026
- rm-safely
- May 30, 2026
Categories
- agents
- AI Agents, Developer Tools
- rm-safely
- Developer Tools
Trust and health
Maintenance
- agents
- Very active (96%)
- rm-safely
- Steady (60%)
Days since push
- agents
- 2d
- rm-safely
- 46d
Open issues (now)
- agents
- 1
- rm-safely
- 0
Full report
- agents
- Trust report
- rm-safely
- Trust report
Choose agents if…
- agents is primarily Python; rm-safely is Shell.
- 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 (wshobson/agents) · observed Jul 11, 2026
- GitHub forks (wshobson/agents) · observed Jul 11, 2026
- Last push (wshobson/agents) · observed Jul 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zdk/rm-safely) · observed Jul 15, 2026
- GitHub forks (zdk/rm-safely) · observed Jul 15, 2026
- Last push (zdk/rm-safely) · observed May 30, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agents 38k · rm-safely 100 (synced Jul 11, 2026).
Common questions
- What is the difference between agents and rm-safely?
- agents: Multi-harness agentic plugin marketplace for various AI agents. rm-safely: 'rm' safely – a safety net for rm. See the comparison table for live GitHub stats and shared categories.
- When should I choose agents over rm-safely?
- Choose agents over rm-safely when agents is primarily Python; rm-safely is Shell; 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 choose rm-safely over agents?
- Choose rm-safely over agents when rm-safely is primarily Shell; agents is Python; Tags unique to rm-safely: backup, bash, command, command-line; Leaner open-issue backlog (0).
- 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
- When should I avoid rm-safely?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is agents or rm-safely more popular on GitHub?
- agents has more GitHub stars (37,779 vs 100). Stars measure visibility, not whether either tool fits your constraints.
- Are agents and rm-safely open source?
- Yes - both are open-source projects on GitHub (agents: MIT, rm-safely: MIT).
- Where can I find alternatives to agents or rm-safely?
- GraphCanon lists graph-backed alternatives at agents alternatives and rm-safely alternatives (agents markdown twin, rm-safely 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, agents or rm-safely?
- agents: Very active. rm-safely: 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 agents and rm-safely?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agents trust report; rm-safely trust report.