Comparison
AutoGPT vs commands
Verdict
Pick AutoGPT when license: AutoGPT is Other, commands is MIT; pick commands when license: commands is MIT, AutoGPT is Other.
Markdown twin · AutoGPT alternatives · commands alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | commands |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Slowing (276d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization 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
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- commands
- A collection of production-ready slash commands for Claude Code
Stars
- AutoGPT
- 185k
- commands
- 2.6k
Forks
- AutoGPT
- 46k
- commands
- 291
Open issues
- AutoGPT
- 494
- commands
- 3
Language
- AutoGPT
- Python
- commands
- -
Adopt for
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
- commands
- -
Persona
- AutoGPT
- -
- commands
- -
Runtime
- AutoGPT
- -
- commands
- -
License
- AutoGPT
- Other
- commands
- MIT
Last pushed
- AutoGPT
- Jul 11, 2026
- commands
- Oct 12, 2025
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- commands
- AI Agents, Inference & Serving, Vector Databases
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- commands
- Slowing (36%)
Days since push
- AutoGPT
- 0d
- commands
- 276d
Open issues (now)
- AutoGPT
- 494
- commands
- 3
Owner type
- AutoGPT
- Organization
- commands
- User
Full report
- AutoGPT
- Trust report
- commands
- Trust report
Choose AutoGPT if…
- License: AutoGPT is Other, commands is MIT.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- Also covers LLM Frameworks.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Choose commands if…
- License: commands is MIT, AutoGPT is Other.
- Tags unique to commands: ai-agents, anthropic, automation, claude code.
- Also covers Inference & Serving, Vector Databases.
When NOT to use commands
- Last GitHub push was 276 days ago (slowing maintenance, Oct 12, 2025). Validate activity before betting a new project on commands.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wshobson/commands) · observed Jul 15, 2026
- GitHub forks (wshobson/commands) · observed Jul 15, 2026
- Last push (wshobson/commands) · observed Oct 12, 2025
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: AutoGPT 185k · commands 2.6k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and commands?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. commands: A collection of production-ready slash commands for Claude Code. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over commands?
- Choose AutoGPT over commands when License: AutoGPT is Other, commands is MIT; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose commands over AutoGPT?
- Choose commands over AutoGPT when License: commands is MIT, AutoGPT is Other; Tags unique to commands: ai-agents, anthropic, automation, claude code; Also covers Inference & Serving, Vector Databases.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- When should I avoid commands?
- Last GitHub push was 276 days ago (slowing maintenance, Oct 12, 2025). Validate activity before betting a new project on commands. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is AutoGPT or commands more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 2,564). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and commands open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, commands: MIT).
- Where can I find alternatives to AutoGPT or commands?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and commands alternatives (AutoGPT markdown twin, commands 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, AutoGPT or commands?
- AutoGPT: Very active. commands: 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 AutoGPT and commands?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; commands trust report.