Comparison
awesome-gpt vs reddit-mcp-buddy
Verdict
Pick awesome-gpt 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.; pick reddit-mcp-buddy when tags unique to reddit-mcp-buddy: mcp-server, ai-assistant, model-context-protocol, reddit-api.
Markdown twin · awesome-gpt alternatives · reddit-mcp-buddy alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-gpt | reddit-mcp-buddy |
|---|---|---|
| Maintenance | Dormant (773d since push) As of today · github_public_v1 | Very active (4d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- awesome-gpt
- Curated list of GPT and related resources
- reddit-mcp-buddy
- Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
Stars
- awesome-gpt
- 1.0k
- reddit-mcp-buddy
- 751
Forks
- awesome-gpt
- 76
- reddit-mcp-buddy
- 95
Open issues
- awesome-gpt
- 27
- reddit-mcp-buddy
- 9
Language
- awesome-gpt
- -
- reddit-mcp-buddy
- TypeScript
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.
- reddit-mcp-buddy
- -
Persona
- awesome-gpt
- -
- reddit-mcp-buddy
- -
Runtime
- awesome-gpt
- -
- reddit-mcp-buddy
- -
License
- awesome-gpt
- -
- reddit-mcp-buddy
- MIT
Last pushed
- awesome-gpt
- May 29, 2024
- reddit-mcp-buddy
- Jul 7, 2026
Categories
- awesome-gpt
- LLM Frameworks, Developer Tools
- reddit-mcp-buddy
- LLM Frameworks, Developer Tools
Trust and health
Maintenance
- awesome-gpt
- Dormant (18%)
- reddit-mcp-buddy
- Very active (96%)
Days since push
- awesome-gpt
- 773d
- reddit-mcp-buddy
- 4d
Open issues (now)
- awesome-gpt
- 27
- reddit-mcp-buddy
- 9
Security scan
- awesome-gpt
- No lockfile
- reddit-mcp-buddy
- No MCP manifest
Full report
- awesome-gpt
- Trust report
- reddit-mcp-buddy
- 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: llm, chatgpt, gpt, openai.
- 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 reddit-mcp-buddy if…
- Tags unique to reddit-mcp-buddy: mcp-server, ai-assistant, model-context-protocol, reddit-api.
- More recently updated (last pushed Jul 7, 2026).
When NOT to use reddit-mcp-buddy
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 Jul 11, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Jul 11, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (karanb192/reddit-mcp-buddy) · observed Jul 11, 2026
- GitHub forks (karanb192/reddit-mcp-buddy) · observed Jul 11, 2026
- Last push (karanb192/reddit-mcp-buddy) · observed Jul 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-gpt 1.0k · reddit-mcp-buddy 751 (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-gpt and reddit-mcp-buddy?
- awesome-gpt: Curated list of GPT and related resources. reddit-mcp-buddy: Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-gpt over reddit-mcp-buddy?
- Choose awesome-gpt over reddit-mcp-buddy 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: llm, chatgpt, gpt, openai; 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 reddit-mcp-buddy over awesome-gpt?
- Choose reddit-mcp-buddy over awesome-gpt when Tags unique to reddit-mcp-buddy: mcp-server, ai-assistant, model-context-protocol, reddit-api; More recently updated (last pushed Jul 7, 2026).
- 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 reddit-mcp-buddy?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is awesome-gpt or reddit-mcp-buddy more popular on GitHub?
- awesome-gpt has more GitHub stars (1,044 vs 751). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt and reddit-mcp-buddy open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt or reddit-mcp-buddy?
- GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and reddit-mcp-buddy alternatives (awesome-gpt markdown twin, reddit-mcp-buddy 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 reddit-mcp-buddy?
- awesome-gpt: Dormant. reddit-mcp-buddy: 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 awesome-gpt and reddit-mcp-buddy?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; reddit-mcp-buddy trust report.