Comparison
AutoGPT vs Agent-S
Verdict
Pick AutoGPT if 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; pick Agent-S if decision-Critical Facts for Agent-S.
Markdown twin · AutoGPT alternatives · Agent-S alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | AutoGPT | Agent-S |
|---|---|---|
| Maintenance | Very active (0d since push) As of 5d · github_public_v1 | Active (19d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- Agent-S
- Agent S: an open agentic framework that uses computers like a human
Stars
- AutoGPT
- 187k
- Agent-S
- 12k
Forks
- AutoGPT
- 46k
- Agent-S
- 1.4k
Open issues
- AutoGPT
- 517
- Agent-S
- 40
Language
- AutoGPT
- Python
- Agent-S
- Python
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.
- Agent-S
- Decision-Critical Facts for Agent-S
Persona
- AutoGPT
- -
- Agent-S
- -
Runtime
- AutoGPT
- -
- Agent-S
- -
License
- AutoGPT
- Other
- Agent-S
- Apache-2.0
Last pushed
- AutoGPT
- Aug 15, 2026
- Agent-S
- Aug 1, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- Agent-S
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- Agent-S
- Active (82%)
Days since push
- AutoGPT
- 0d
- Agent-S
- 19d
Open issues (now)
- AutoGPT
- 517
- Agent-S
- 40
Stars delta
- AutoGPT
- +1.0k (30d)
- Agent-S
- +132 (30d)
Open issues delta
- AutoGPT
- +19 (30d)
- Agent-S
- +4 (30d)
OSV dependency advisories
- AutoGPT
- No lockfile (source not queried)
- Agent-S
- No published findings from this source as of 2026-07-11
Full report
- AutoGPT
- Trust report
- Agent-S
- Trust report
Typed relationship
AutoGPT Agent-S
Choose AutoGPT if…
- License: AutoGPT is Other, Agent-S is Apache-2.0.
- Graph edge: AutoGPT is a typed related of Agent-S - see the relationship row above.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- 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 Agent-S if…
- License: Agent-S is Apache-2.0, AutoGPT is Other.
- Graph edge: Agent-S is a typed related of AutoGPT - see the relationship row above.
- Tags unique to Agent-S: agent-computer-interface, ai-agents, computer-automation, in-context-reinforcement-learning.
- Also covers Data & Retrieval.
- If your project involves computer automation tasks that are similar to human-like interactions, including GUI tasks or those requiring grounding in a context-based environment, Agent-S provides an agn
When NOT to use Agent-S
- Avoid using Agent-S if your project is heavily language-focused and does not involve significant interaction with the computer interface for tasks such as GUI manipulation. Competitors may specialize
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 Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (simular-ai/Agent-S) · observed Aug 20, 2026
- GitHub forks (simular-ai/Agent-S) · observed Aug 20, 2026
- Last push (simular-ai/Agent-S) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoGPT 187k · Agent-S 12k (synced Aug 16, 2026).
Common questions
- What is the difference between AutoGPT and Agent-S?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. Agent-S: Agent S: an open agentic framework that uses computers like a human. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over Agent-S?
- Choose AutoGPT over Agent-S when License: AutoGPT is Other, Agent-S is Apache-2.0; Graph edge: AutoGPT is a typed related of Agent-S - see the relationship row above; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; 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 Agent-S over AutoGPT?
- Choose Agent-S over AutoGPT when License: Agent-S is Apache-2.0, AutoGPT is Other; Graph edge: Agent-S is a typed related of AutoGPT - see the relationship row above; Tags unique to Agent-S: agent-computer-interface, ai-agents, computer-automation, in-context-reinforcement-learning; Also covers Data & Retrieval; If your project involves computer automation tasks that are similar to human-like interactions, including GUI tasks or those requiring grounding in a context-based environment, Agent-S provides an agn.
- 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 Agent-S?
- Avoid using Agent-S if your project is heavily language-focused and does not involve significant interaction with the computer interface for tasks such as GUI manipulation. Competitors may specialize
- Is AutoGPT or Agent-S more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 12,174). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and Agent-S open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, Agent-S: Apache-2.0).
- Where can I find alternatives to AutoGPT or Agent-S?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and Agent-S alternatives (AutoGPT markdown twin, Agent-S 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 Agent-S?
- AutoGPT: Very active. Agent-S: 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 AutoGPT and Agent-S?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; Agent-S trust report.