Home/Compare/thinkgpt vs AutoGPT

Comparison

thinkgpt vs AutoGPT

Verdict

Pick thinkgpt when license: thinkgpt is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, thinkgpt is Apache-2.0.

Markdown twin · thinkgpt alternatives · AutoGPT alternatives

GraphCanon updated today

thinkgpt logo

thinkgpt

jina-ai/thinkgpt

1.6kpushed May 23, 2024
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalthinkgptAutoGPT
Maintenance
Dormant (778d since push)
As of today · github_public_v1
Very active (0d 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

thinkgpt
Agent techniques to augment your LLM and push it beyong its limits
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

thinkgpt
1.6k
AutoGPT
185k

Forks

thinkgpt
133
AutoGPT
46k

Open issues

thinkgpt
16
AutoGPT
494

Language

thinkgpt
Python
AutoGPT
Python

Adopt for

thinkgpt
-
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

thinkgpt
-
AutoGPT
-

Runtime

thinkgpt
-
AutoGPT
-

License

thinkgpt
Apache-2.0
AutoGPT
Other

Last pushed

thinkgpt
May 23, 2024
AutoGPT
Jul 11, 2026

Categories

thinkgpt
AI Agents, LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

thinkgpt
Dormant (18%)
AutoGPT
Very active (96%)

Days since push

thinkgpt
778d
AutoGPT
0d

Open issues (now)

thinkgpt
16
AutoGPT
494

Full report

thinkgpt
Trust report

Choose thinkgpt if…

  • License: thinkgpt is Apache-2.0, AutoGPT is Other.
  • Tags unique to thinkgpt: python.
  • Leaner open-issue backlog (16).

When NOT to use thinkgpt

  • Last GitHub push was 779 days ago (dormant maintenance, May 23, 2024). Validate activity before betting a new project on thinkgpt.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • 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, thinkgpt is Apache-2.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: thinkgpt 1.6k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between thinkgpt and AutoGPT?
thinkgpt: Agent techniques to augment your LLM and push it beyong its limits. 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 thinkgpt over AutoGPT?
Choose thinkgpt over AutoGPT when License: thinkgpt is Apache-2.0, AutoGPT is Other; Tags unique to thinkgpt: python; Leaner open-issue backlog (16).
When should I choose AutoGPT over thinkgpt?
Choose AutoGPT over thinkgpt when License: AutoGPT is Other, thinkgpt is Apache-2.0; 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 avoid thinkgpt?
Last GitHub push was 779 days ago (dormant maintenance, May 23, 2024). Validate activity before betting a new project on thinkgpt. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 thinkgpt or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 1,583). Stars measure visibility, not whether either tool fits your constraints.
Are thinkgpt and AutoGPT open source?
Yes - both are open-source projects on GitHub (thinkgpt: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to thinkgpt or AutoGPT?
GraphCanon lists graph-backed alternatives at thinkgpt alternatives and AutoGPT alternatives (thinkgpt 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, thinkgpt or AutoGPT?
thinkgpt: Dormant. 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 thinkgpt and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: thinkgpt trust report; AutoGPT trust report.