Comparison
DocsGPT vs awesome-llm-apps
Verdict
Pick DocsGPT if docsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · DocsGPT alternatives · awesome-llm-apps alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | DocsGPT | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 6d · github_public_v1 | Very active (4d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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 |
Tagline
- DocsGPT
- Private AI platform for agents, assistants and enterprise search.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- DocsGPT
- 18k
- awesome-llm-apps
- 131k
Forks
- DocsGPT
- 2.1k
- awesome-llm-apps
- 19k
Open issues
- DocsGPT
- 96
- awesome-llm-apps
- 13
Language
- DocsGPT
- Python
- awesome-llm-apps
- Python
Adopt for
- DocsGPT
- DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- DocsGPT
- -
- awesome-llm-apps
- -
Runtime
- DocsGPT
- -
- awesome-llm-apps
- -
License
- DocsGPT
- MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code.
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- DocsGPT
- Aug 14, 2026
- awesome-llm-apps
- Aug 3, 2026
Categories
- DocsGPT
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- DocsGPT
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- DocsGPT
- 96
- awesome-llm-apps
- 13
Stars delta
- DocsGPT
- +223 (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- DocsGPT
- +4 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- DocsGPT
- Organization
- awesome-llm-apps
- User
OSV dependency advisories
- DocsGPT
- No published findings from this source as of 2026-07-11
- awesome-llm-apps
- No lockfile (source not queried)
Full report
- DocsGPT
- Trust report
- awesome-llm-apps
- Trust report
Choose DocsGPT if…
- License: DocsGPT is MIT, awesome-llm-apps is Apache-2.0.
- Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based..
- Tags unique to DocsGPT: agent-builder, ai, chatgpt, docsgpt.
- When you need to build custom AI agents with built-in agent builder capability
When NOT to use DocsGPT
- If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT
- When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI
- For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, DocsGPT is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: applications, customizable, deployable, llms.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (arc53/DocsGPT) · observed Aug 15, 2026
- GitHub forks (arc53/DocsGPT) · observed Aug 15, 2026
- Last push (arc53/DocsGPT) · observed Aug 14, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DocsGPT 18k · awesome-llm-apps 131k (synced Aug 15, 2026).
Common questions
- What is the difference between DocsGPT and awesome-llm-apps?
- DocsGPT: Private AI platform for agents, assistants and enterprise search.. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DocsGPT over awesome-llm-apps?
- Choose DocsGPT over awesome-llm-apps when License: DocsGPT is MIT, awesome-llm-apps is Apache-2.0; Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.; Tags unique to DocsGPT: agent-builder, ai, chatgpt, docsgpt; When you need to build custom AI agents with built-in agent builder capability.
- When should I choose awesome-llm-apps over DocsGPT?
- Choose awesome-llm-apps over DocsGPT when License: awesome-llm-apps is Apache-2.0, DocsGPT is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: applications, customizable, deployable, llms; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid DocsGPT?
- If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is DocsGPT or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 18,216). Stars measure visibility, not whether either tool fits your constraints.
- Are DocsGPT and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (DocsGPT: MIT, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to DocsGPT or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at DocsGPT alternatives and awesome-llm-apps alternatives (DocsGPT markdown twin, awesome-llm-apps 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, DocsGPT or awesome-llm-apps?
- DocsGPT: Very active. awesome-llm-apps: 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 DocsGPT and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DocsGPT trust report; awesome-llm-apps trust report.