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Comparison

thinkgpt vs agents

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 agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor.

Markdown twin · thinkgpt alternatives · agents alternatives

GraphCanon updated 6d

thinkgpt logo

thinkgpt

jina-ai/thinkgpt

★ 1.6kpushed May 23, 2024
vs
agents logo

agents

wshobson/agents

★ 39kpushed Aug 18, 2026

Trust & integrity

Signalthinkgptagents
Maintenance
Dormant (806d since push)
As of 2w · github_public_v1
Very active (1d since push)
As of 6d · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 6d · 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 reportagents trust reportTrust methodology

Tagline

thinkgpt
Agent techniques to augment your LLM and push it beyond its limits
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

thinkgpt
1.6k
agents
39k

Forks

thinkgpt
132
agents
4.1k

Open issues

thinkgpt
16
agents
5

Language

thinkgpt
Python
agents
Python

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.
agents
The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot

Persona

thinkgpt
-
agents
-

Runtime

thinkgpt
-
agents
-

License

thinkgpt
ThinkGPT is released under the permissive Apache-2.0 license.
agents
MIT

Last pushed

thinkgpt
May 23, 2024
agents
Aug 18, 2026

Categories

thinkgpt
AI Agents
agents
AI Agents, Developer Tools

Trust and health

Maintenance

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

Days since push

thinkgpt
806d
agents
1d

Open issues (now)

thinkgpt
16
agents
5

Stars delta

thinkgpt
Unknown
agents
+860 (30d)

Open issues delta

thinkgpt
Unknown
agents
+2 (30d)

Owner type

thinkgpt
Organization
agents
User

Full report

thinkgpt
Trust report
agents
Trust report

Choose thinkgpt if…

  • License: thinkgpt is Apache-2.0, agents is MIT.
  • 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 agents if…

  • License: agents is MIT, thinkgpt is Apache-2.0.
  • Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
  • Also covers Developer Tools.
  • You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments

When NOT to use agents

  • You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
  • Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
GitHubDetails

Explore

thinkgpt trust report →agents 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 · agents 39k (synced Aug 8, 2026).

Common questions

What is the difference between thinkgpt and agents?
thinkgpt: Agent techniques to augment your LLM and push it beyond its limits. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose thinkgpt over agents?
Choose thinkgpt over agents when License: thinkgpt is Apache-2.0, agents is MIT; 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 agents over thinkgpt?
Choose agents over thinkgpt when License: agents is MIT, thinkgpt is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
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 agents?
You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Is thinkgpt or agents more popular on GitHub?
agents has more GitHub stars (38,928 vs 1,581). Stars measure visibility, not whether either tool fits your constraints.
Are thinkgpt and agents open source?
Yes - both are open-source projects on GitHub (thinkgpt: Apache-2.0, agents: MIT).
Where can I find alternatives to thinkgpt or agents?
GraphCanon lists graph-backed alternatives at thinkgpt alternatives and agents alternatives (thinkgpt markdown twin, agents 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 agents?
thinkgpt: Dormant. agents: 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 agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: thinkgpt trust report; agents trust report.

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