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Comparison

thinkgpt vs AgentGPT

Verdict

Pick thinkgpt if thinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license; pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer.

Markdown twin · thinkgpt alternatives · AgentGPT alternatives

GraphCanon updated 2w

thinkgpt logo

thinkgpt

jina-ai/thinkgpt

★ 1.6kpushed May 23, 2024
vs
AgentGPT logo

AgentGPT

reworkd/AgentGPT

★ 36kpushed Apr 29, 2025

Trust & integrity

SignalthinkgptAgentGPT
Maintenance
Dormant (806d since push)
As of 2w · github_public_v1
Archived (466d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
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
thinkgpt trust reportAgentGPT trust reportTrust methodology

Tagline

thinkgpt
Agent techniques to augment your LLM and push it beyond its limits
AgentGPT
Assembler for autonomous AI Agents

Stars

thinkgpt
1.6k
AgentGPT
36k

Forks

thinkgpt
132
AgentGPT
9.3k

Open issues

thinkgpt
16
AgentGPT
219

Language

thinkgpt
Python
AgentGPT
TypeScript

Adopt for

thinkgpt
ThinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license.
AgentGPT
AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects

Persona

thinkgpt
-
AgentGPT
-

Runtime

thinkgpt
-
AgentGPT
-

License

thinkgpt
ThinkGPT is released under the permissive Apache-2.0 license.
AgentGPT
GPL-3.0

Last pushed

thinkgpt
May 23, 2024
AgentGPT
Apr 29, 2025

Categories

thinkgpt
AI Agents
AgentGPT
AI Agents, Developer Tools

Trust and health

Maintenance

thinkgpt
Dormant (18%)
AgentGPT
Archived (8%)

Days since push

thinkgpt
806d
AgentGPT
466d

Archived on GitHub

thinkgpt
No
AgentGPT
Yes

Open issues (now)

thinkgpt
16
AgentGPT
219

Full report

thinkgpt
Trust report
AgentGPT
Trust report

Choose thinkgpt if…

  • thinkgpt is primarily Python; AgentGPT is TypeScript.
  • License: thinkgpt is Apache-2.0, AgentGPT is GPL-3.0.
  • Pricing: Open source with no direct costs, but may require resource investment for setup and maintenance..
  • Requirements: Min 4 GB RAM; Python environment is necessary. No Docker container required..
  • Tags unique to thinkgpt: agent techniques, llm augmentation, machine learning enhancement, python library.
  • When you need advanced augmentation for your existing language model capabilities with an emphasis on agent-based techniques.

When NOT to use thinkgpt

  • If your project requires direct access to pre-built agent components from other libraries (e.g., LangChain), as ThinkGPT focuses on its own augmentation approach.
  • In scenarios where integration with proprietary or closed-source systems is required, given ThinkGPT's open-source nature under the Apache-2.0 license.
GitHubDetails

Choose AgentGPT if…

  • AgentGPT is primarily TypeScript; thinkgpt is Python.
  • License: AgentGPT is GPL-3.0, thinkgpt is Apache-2.0.
  • Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup.
  • Also covers Developer Tools.
  • AgentGPT ships Docker support for self-hosted deployment.
  • When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI

When NOT to use AgentGPT

  • Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box
  • Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
GitHubDetails

Explore

thinkgpt trust report →AgentGPT trust report →AI Agents category →Developer Tools category →All comparisonsStack workflowsTrending tools

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 · AgentGPT 36k (synced Aug 8, 2026).

Common questions

What is the difference between thinkgpt and AgentGPT?
thinkgpt: Agent techniques to augment your LLM and push it beyond its limits. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose thinkgpt over AgentGPT?
Choose thinkgpt over AgentGPT when thinkgpt is primarily Python; AgentGPT is TypeScript; License: thinkgpt is Apache-2.0, AgentGPT is GPL-3.0; Pricing: Open source with no direct costs, but may require resource investment for setup and maintenance.; Requirements: Min 4 GB RAM; Python environment is necessary. No Docker container required.; Tags unique to thinkgpt: agent techniques, llm augmentation, machine learning enhancement, python library; When you need advanced augmentation for your existing language model capabilities with an emphasis on agent-based techniques.
When should I choose AgentGPT over thinkgpt?
Choose AgentGPT over thinkgpt when AgentGPT is primarily TypeScript; thinkgpt is Python; License: AgentGPT is GPL-3.0, thinkgpt is Apache-2.0; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
When should I avoid thinkgpt?
If your project requires direct access to pre-built agent components from other libraries (e.g., LangChain), as ThinkGPT focuses on its own augmentation approach. In scenarios where integration with proprietary or closed-source systems is required, given ThinkGPT's open-source nature under the Apache-2.0 license.
When should I avoid AgentGPT?
Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
Is thinkgpt or AgentGPT more popular on GitHub?
AgentGPT has more GitHub stars (36,304 vs 1,581). Stars measure visibility, not whether either tool fits your constraints.
Are thinkgpt and AgentGPT open source?
Yes - both are open-source projects on GitHub (thinkgpt: Apache-2.0, AgentGPT: GPL-3.0).
Where can I find alternatives to thinkgpt or AgentGPT?
GraphCanon lists graph-backed alternatives at thinkgpt alternatives and AgentGPT alternatives (thinkgpt markdown twin, AgentGPT 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 AgentGPT?
thinkgpt: Dormant. AgentGPT: Archived. 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 AgentGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: thinkgpt trust report; AgentGPT trust report.

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