Comparison
AutoGPT vs superagent
Verdict
Pick AutoGPT when autoGPT is primarily Python; superagent is TypeScript; pick superagent when superagent is primarily TypeScript; AutoGPT is Python.
Markdown twin · AutoGPT alternatives · superagent alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | superagent |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (91d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- superagent
- Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
Stars
- AutoGPT
- 185k
- superagent
- 6.7k
Forks
- AutoGPT
- 46k
- superagent
- 963
Open issues
- AutoGPT
- 494
- superagent
- 9
Language
- AutoGPT
- Python
- superagent
- TypeScript
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.
- superagent
- -
Persona
- AutoGPT
- -
- superagent
- -
Runtime
- AutoGPT
- -
- superagent
- -
License
- AutoGPT
- Other
- superagent
- MIT
Last pushed
- AutoGPT
- Jul 11, 2026
- superagent
- Apr 11, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- superagent
- LLM Frameworks, AI Agents, Inference & Serving
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- superagent
- Slowing (36%)
Days since push
- AutoGPT
- 0d
- superagent
- 91d
Open issues (now)
- AutoGPT
- 494
- superagent
- 9
Full report
- AutoGPT
- Trust report
- superagent
- Trust report
Choose AutoGPT if…
- AutoGPT is primarily Python; superagent is TypeScript.
- License: AutoGPT is Other, superagent is MIT.
- Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, 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.
Choose superagent if…
- superagent is primarily TypeScript; AutoGPT is Python.
- License: superagent is MIT, AutoGPT is Other.
- Tags unique to superagent: prompt-injection, security, openai, typescript.
- Also covers Inference & Serving.
When NOT to use superagent
- Last GitHub push was 91 days ago (slowing maintenance, Apr 11, 2026). Validate activity before betting a new project on superagent.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
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 (superagent-ai/superagent) · observed Jul 11, 2026
- GitHub forks (superagent-ai/superagent) · observed Jul 11, 2026
- Last push (superagent-ai/superagent) · observed Apr 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoGPT 185k · superagent 6.7k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and superagent?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. superagent: Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over superagent?
- Choose AutoGPT over superagent when AutoGPT is primarily Python; superagent is TypeScript; License: AutoGPT is Other, superagent is MIT; Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose superagent over AutoGPT?
- Choose superagent over AutoGPT when superagent is primarily TypeScript; AutoGPT is Python; License: superagent is MIT, AutoGPT is Other; Tags unique to superagent: prompt-injection, security, openai, typescript; Also covers Inference & Serving.
- 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 superagent?
- Last GitHub push was 91 days ago (slowing maintenance, Apr 11, 2026). Validate activity before betting a new project on superagent. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
- Is AutoGPT or superagent more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 6,669). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and superagent open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, superagent: MIT).
- Where can I find alternatives to AutoGPT or superagent?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and superagent alternatives (AutoGPT markdown twin, superagent 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 superagent?
- AutoGPT: Very active. superagent: 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 superagent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; superagent trust report.