Comparison
awesome-openclaw vs AutoGPT
Verdict
Pick awesome-openclaw when license: awesome-openclaw is CC0-1.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, awesome-openclaw is CC0-1.0.
Markdown twin · awesome-openclaw alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-openclaw | AutoGPT |
|---|---|---|
| Maintenance | Active (10d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- awesome-openclaw
- A curated list of the best OpenClaw resources: official projects, skills, plugins, dashboards, deployment tooling, memory systems, and guides.
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- awesome-openclaw
- 707
- AutoGPT
- 185k
Forks
- awesome-openclaw
- 90
- AutoGPT
- 46k
Open issues
- awesome-openclaw
- 29
- AutoGPT
- 494
Language
- awesome-openclaw
- -
- AutoGPT
- Python
Adopt for
- awesome-openclaw
- -
- 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.
Persona
- awesome-openclaw
- -
- AutoGPT
- -
Runtime
- awesome-openclaw
- -
- AutoGPT
- -
License
- awesome-openclaw
- CC0-1.0
- AutoGPT
- Other
Last pushed
- awesome-openclaw
- Jul 4, 2026
- AutoGPT
- Jul 11, 2026
Categories
- awesome-openclaw
- AI Agents, Inference & Serving, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- awesome-openclaw
- Active (82%)
- AutoGPT
- Very active (96%)
Days since push
- awesome-openclaw
- 10d
- AutoGPT
- 0d
Open issues (now)
- awesome-openclaw
- 29
- AutoGPT
- 494
Owner type
- awesome-openclaw
- User
- AutoGPT
- Organization
Full report
- awesome-openclaw
- Trust report
- AutoGPT
- Trust report
Choose awesome-openclaw if…
- License: awesome-openclaw is CC0-1.0, AutoGPT is Other.
- Tags unique to awesome-openclaw: ai-agents, automation, awesome, awesome-list.
- Also covers Inference & Serving.
When NOT to use awesome-openclaw
- 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.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose AutoGPT if…
- License: AutoGPT is Other, awesome-openclaw is CC0-1.0.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alvinreal/awesome-openclaw) · observed Jul 15, 2026
- GitHub forks (alvinreal/awesome-openclaw) · observed Jul 15, 2026
- Last push (alvinreal/awesome-openclaw) · observed Jul 4, 2026
- License file (CC0-1.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: awesome-openclaw 707 · AutoGPT 185k (synced Jul 15, 2026).
Common questions
- What is the difference between awesome-openclaw and AutoGPT?
- awesome-openclaw: A curated list of the best OpenClaw resources: official projects, skills, plugins, dashboards, deployment tooling, memory systems, and guides.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-openclaw over AutoGPT?
- Choose awesome-openclaw over AutoGPT when License: awesome-openclaw is CC0-1.0, AutoGPT is Other; Tags unique to awesome-openclaw: ai-agents, automation, awesome, awesome-list; Also covers Inference & Serving.
- When should I choose AutoGPT over awesome-openclaw?
- Choose AutoGPT over awesome-openclaw when License: AutoGPT is Other, awesome-openclaw is CC0-1.0; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid awesome-openclaw?
- 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
- Is awesome-openclaw or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 707). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-openclaw and AutoGPT open source?
- Yes - both are open-source projects on GitHub (awesome-openclaw: CC0-1.0, AutoGPT: Other).
- Where can I find alternatives to awesome-openclaw or AutoGPT?
- GraphCanon lists graph-backed alternatives at awesome-openclaw alternatives and AutoGPT alternatives (awesome-openclaw markdown twin, AutoGPT 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, awesome-openclaw or AutoGPT?
- awesome-openclaw: Active. AutoGPT: 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 awesome-openclaw and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-openclaw trust report; AutoGPT trust report.