Comparison
awesome-gpt vs grepai
Verdict
Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; pick grepai if grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.
Markdown twin · awesome-gpt alternatives · grepai alternatives
GraphCanon updated today
Trust & integrity
| Signal | awesome-gpt | grepai |
|---|---|---|
| Maintenance | Dormant (799d since push) As of 2w · github_public_v1 | Steady (61d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of today · 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
- awesome-gpt
- Curated list of GPT and related resources
- grepai
- Semantic Search & Call Graphs for AI Agents (100% Local)
Stars
- awesome-gpt
- 1.0k
- grepai
- 1.8k
Forks
- awesome-gpt
- 75
- grepai
- 152
Open issues
- awesome-gpt
- 27
- grepai
- 97
Language
- awesome-gpt
- -
- grepai
- C
Adopt for
- awesome-gpt
- awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.
- grepai
- grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.
Persona
- awesome-gpt
- -
- grepai
- -
Runtime
- awesome-gpt
- -
- grepai
- -
License
- awesome-gpt
- -
- grepai
- MIT license, allowing for wide usage in both open-source and proprietary applications without restrictions on redistribution.
Last pushed
- awesome-gpt
- May 29, 2024
- grepai
- Jun 22, 2026
Categories
- awesome-gpt
- Developer Tools, LLM Frameworks
- grepai
- Developer Tools, Vector Databases
Trust and health
Maintenance
- awesome-gpt
- Dormant (18%)
- grepai
- Steady (60%)
Days since push
- awesome-gpt
- 799d
- grepai
- 61d
Open issues (now)
- awesome-gpt
- 27
- grepai
- 97
Stars delta
- awesome-gpt
- Unknown
- grepai
- +36 (30d)
Open issues delta
- awesome-gpt
- Unknown
- grepai
- +1 (30d)
Full report
- awesome-gpt
- Trust report
- grepai
- Trust report
Choose awesome-gpt if…
- Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs..
- Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view.
- Tags unique to awesome-gpt: chatgpt, gpt, llm, openai.
- Also covers LLM Frameworks.
- Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
When NOT to use awesome-gpt
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider.
- Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
Choose grepai if…
- Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires..
- Tags unique to grepai: ai, claude-code, cli, code-search.
- Also covers Vector Databases.
- When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
When NOT to use grepai
- Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality.
- If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (formulahendry/awesome-gpt) · observed Aug 6, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Aug 6, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yoanbernabeu/grepai) · observed Aug 22, 2026
- GitHub forks (yoanbernabeu/grepai) · observed Aug 22, 2026
- Last push (yoanbernabeu/grepai) · observed Jun 22, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-gpt 1.0k · grepai 1.8k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-gpt and grepai?
- awesome-gpt: Curated list of GPT and related resources. grepai: Semantic Search & Call Graphs for AI Agents (100% Local). See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-gpt over grepai?
- Choose awesome-gpt over grepai when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Also covers LLM Frameworks; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
- When should I choose grepai over awesome-gpt?
- Choose grepai over awesome-gpt when Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires.; Tags unique to grepai: ai, claude-code, cli, code-search; Also covers Vector Databases; When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
- When should I avoid awesome-gpt?
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
- When should I avoid grepai?
- Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality. If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.
- Is awesome-gpt or grepai more popular on GitHub?
- grepai has more GitHub stars (1,825 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt and grepai open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt or grepai?
- GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and grepai alternatives (awesome-gpt markdown twin, grepai 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, awesome-gpt or grepai?
- awesome-gpt: Dormant. grepai: Steady. 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 awesome-gpt and grepai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; grepai trust report.