Home/Compare/AutoGPT vs SWE-bench

Comparison

AutoGPT vs SWE-bench

Verdict

Pick AutoGPT when license: AutoGPT is Other, SWE-bench is MIT; pick SWE-bench when license: SWE-bench is MIT, AutoGPT is Other.

Markdown twin · AutoGPT alternatives · SWE-bench alternatives

GraphCanon updated today

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026
vs
SWE-bench logo

SWE-bench

SWE-bench/SWE-bench

5.4kpushed Apr 1, 2026

Trust & integrity

SignalAutoGPTSWE-bench
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (101d 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.
SWE-bench
SWE-bench: Can Language Models Resolve Real-world Github Issues?

Stars

AutoGPT
185k
SWE-bench
5.4k

Forks

AutoGPT
46k
SWE-bench
919

Open issues

AutoGPT
494
SWE-bench
127

Language

AutoGPT
Python
SWE-bench
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.
SWE-bench
-

Persona

AutoGPT
-
SWE-bench
-

Runtime

AutoGPT
-
SWE-bench
-

License

AutoGPT
Other
SWE-bench
MIT

Last pushed

AutoGPT
Jul 11, 2026
SWE-bench
Apr 1, 2026

Categories

AutoGPT
AI Agents, LLM Frameworks
SWE-bench
LLM Frameworks, AI Agents, Evaluation & Observability

Trust and health

Maintenance

AutoGPT
Very active (96%)
SWE-bench
Slowing (36%)

Days since push

AutoGPT
0d
SWE-bench
101d

Open issues (now)

AutoGPT
494
SWE-bench
127

Full report

SWE-bench
Trust report

Choose AutoGPT if…

  • License: AutoGPT is Other, SWE-bench is MIT.
  • Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
  • 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 SWE-bench if…

  • License: SWE-bench is MIT, AutoGPT is Other.
  • Tags unique to SWE-bench: benchmark, python, language-model, software-engineering.
  • Also covers Evaluation & Observability.

When NOT to use SWE-bench

  • Last GitHub push was 102 days ago (slowing maintenance, Apr 1, 2026). Validate activity before betting a new project on SWE-bench.
  • 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.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AutoGPT 185k · SWE-bench 5.4k (synced Jul 11, 2026).

Common questions

What is the difference between AutoGPT and SWE-bench?
AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. SWE-bench: SWE-bench: Can Language Models Resolve Real-world Github Issues?. See the comparison table for live GitHub stats and shared categories.
When should I choose AutoGPT over SWE-bench?
Choose AutoGPT over SWE-bench when License: AutoGPT is Other, SWE-bench is MIT; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I choose SWE-bench over AutoGPT?
Choose SWE-bench over AutoGPT when License: SWE-bench is MIT, AutoGPT is Other; Tags unique to SWE-bench: benchmark, python, language-model, software-engineering; Also covers Evaluation & Observability.
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 SWE-bench?
Last GitHub push was 102 days ago (slowing maintenance, Apr 1, 2026). Validate activity before betting a new project on SWE-bench. 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. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is AutoGPT or SWE-bench more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 5,395). Stars measure visibility, not whether either tool fits your constraints.
Are AutoGPT and SWE-bench open source?
Yes - both are open-source projects on GitHub (AutoGPT: Other, SWE-bench: MIT).
Where can I find alternatives to AutoGPT or SWE-bench?
GraphCanon lists graph-backed alternatives at AutoGPT alternatives and SWE-bench alternatives (AutoGPT markdown twin, SWE-bench 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 SWE-bench?
AutoGPT: Very active. SWE-bench: 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 SWE-bench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; SWE-bench trust report.