Comparison
smartgpt vs awesome-ai-apps
Verdict
Pick smartgpt if smartGPT stands out in its use of Rust as a foundational language, enabling more efficient and secure plugin-based task execution for large language models; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Markdown twin · smartgpt alternatives · awesome-ai-apps alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | smartgpt | awesome-ai-apps |
|---|---|---|
| Maintenance | Dormant (856d since push) As of 1w · github_public_v1 | Slowing (182d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 1w · 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 |
Tagline
- smartgpt
- A program that provides LLMs with the ability to complete complex tasks using plugins.
- awesome-ai-apps
- A curated collection of AI Agents and LLM Apps with various tech stacks
Stars
- smartgpt
- 1.7k
- awesome-ai-apps
- 817
Forks
- smartgpt
- 124
- awesome-ai-apps
- 174
Open issues
- smartgpt
- 10
- awesome-ai-apps
- 27
Language
- smartgpt
- Rust
- awesome-ai-apps
- HTML
Adopt for
- smartgpt
- SmartGPT stands out in its use of Rust as a foundational language, enabling more efficient and secure plugin-based task execution for large language models.
- awesome-ai-apps
- awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Persona
- smartgpt
- -
- awesome-ai-apps
- -
Runtime
- smartgpt
- -
- awesome-ai-apps
- -
License
- smartgpt
- MIT
- awesome-ai-apps
- Apache-2.0
Last pushed
- smartgpt
- Apr 11, 2024
- awesome-ai-apps
- Feb 10, 2026
Categories
- smartgpt
- AI Agents, LLM Frameworks
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- smartgpt
- Dormant (18%)
- awesome-ai-apps
- Slowing (36%)
Days since push
- smartgpt
- 856d
- awesome-ai-apps
- 182d
Open issues (now)
- smartgpt
- 10
- awesome-ai-apps
- 27
Stars delta
- smartgpt
- 0 (30d)
- awesome-ai-apps
- Unknown
Open issues delta
- smartgpt
- -1 (30d)
- awesome-ai-apps
- Unknown
Full report
- smartgpt
- Trust report
- awesome-ai-apps
- Trust report
Choose smartgpt if…
- smartgpt is primarily Rust; awesome-ai-apps is HTML.
- License: smartgpt is MIT, awesome-ai-apps is Apache-2.0.
- Tags unique to smartgpt: gpt-3, gpt-4, openai, rust.
- smartgpt ships Docker support for self-hosted deployment.
- When you need a system built with Rust to leverage both performance and security while extending LLM capabilities.
When NOT to use smartgpt
- If your development team lacks experience in Rust, which could impede project progress.
- When the task does not require performance optimizations or secure interactions that come with SmartGPT’s architecture, opting for simpler LLM frameworks might be more appropriate.
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily HTML; smartgpt is Rust.
- License: awesome-ai-apps is Apache-2.0, smartgpt is MIT.
- Tags unique to awesome-ai-apps: agents, apps, automation, framework.
- For exploring real-world implementations of AI agents across different technologies
When NOT to use awesome-ai-apps
- When seeking detailed implementation steps specific to one technology stack
- In scenarios demanding a deep dive into proprietary or less publicly-known application codes
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Cormanz/smartgpt) · observed Aug 15, 2026
- GitHub forks (Cormanz/smartgpt) · observed Aug 15, 2026
- Last push (Cormanz/smartgpt) · observed Apr 11, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- GitHub forks (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- Last push (rohitg00/awesome-ai-apps) · observed Feb 10, 2026
- License file (Apache-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: smartgpt 1.7k · awesome-ai-apps 817 (synced Aug 15, 2026).
Common questions
- What is the difference between smartgpt and awesome-ai-apps?
- smartgpt: A program that provides LLMs with the ability to complete complex tasks using plugins.. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories.
- When should I choose smartgpt over awesome-ai-apps?
- Choose smartgpt over awesome-ai-apps when smartgpt is primarily Rust; awesome-ai-apps is HTML; License: smartgpt is MIT, awesome-ai-apps is Apache-2.0; Tags unique to smartgpt: gpt-3, gpt-4, openai, rust; smartgpt ships Docker support for self-hosted deployment; When you need a system built with Rust to leverage both performance and security while extending LLM capabilities.
- When should I choose awesome-ai-apps over smartgpt?
- Choose awesome-ai-apps over smartgpt when awesome-ai-apps is primarily HTML; smartgpt is Rust; License: awesome-ai-apps is Apache-2.0, smartgpt is MIT; Tags unique to awesome-ai-apps: agents, apps, automation, framework; For exploring real-world implementations of AI agents across different technologies.
- When should I avoid smartgpt?
- If your development team lacks experience in Rust, which could impede project progress. When the task does not require performance optimizations or secure interactions that come with SmartGPT’s architecture, opting for simpler LLM frameworks might be more appropriate.
- When should I avoid awesome-ai-apps?
- When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes
- Is smartgpt or awesome-ai-apps more popular on GitHub?
- smartgpt has more GitHub stars (1,736 vs 817). Stars measure visibility, not whether either tool fits your constraints.
- Are smartgpt and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (smartgpt: MIT, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to smartgpt or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at smartgpt alternatives and awesome-ai-apps alternatives (smartgpt markdown twin, awesome-ai-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, smartgpt or awesome-ai-apps?
- smartgpt: Dormant. awesome-ai-apps: 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 smartgpt and awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: smartgpt trust report; awesome-ai-apps trust report.