
Free2AITools
โ 1from mosesy5688-cell
Search, rank, and compare 500K+ AI models from 13+ platforms with VRAM and license constraints
Free2AITools โ The Open-Source AI Registry
Discover, rank, and compare AI models, datasets, papers, tools, and benchmarks. Updated daily, scored by the Free2AITools Nexus Index (FNI).
Website: free2aitools.com
What It Does
- Cross-source catalog โ Models, datasets, papers, tools, and benchmarks from HuggingFace, GitHub, ArXiv, Ollama, Replicate, Civitai, and more
- FNI Ranking โ 5-factor composite score (Semantic, Authority, Popularity, Recency, Quality) with full breakdown in every API response
- Hardware-aware filtering โ filter models by VRAM, license, and task-category metadata (heuristic filters, not verified compatibility)
- Daily Updates โ Automated pipeline refreshes all data daily
For Developers & AI Agents
Model Selection API
curl -s https://free2aitools.com/api/v1/select \
-H "Content-Type: application/json" \
-d '{"task":"text-generation","constraints":{"max_vram_gb":8}}'Returns FNI-ranked catalog entries with params, VRAM estimates, license, and a factual FNI factor summary (fni_summary) โ not a fit verdict; the caller decides.
Model Comparison API
# <ID_1>,<ID_2> are id values taken from /api/v1/search results โ substitute your own.
curl "https://free2aitools.com/api/v1/compare?ids=<ID_1>,<ID_2>"Side-by-side comparison with FNI factor decomposition. Obtain ids from the Search API first; see the Developer Docs for a runnable search-first flow.
Search API
curl "https://free2aitools.com/api/v1/search?q=code+generation&limit=5"MCP Server
Add to Claude, Cursor, Windsurf, or any MCP-compatible client:
{
"mcpServers": {
"free2aitools": {
"url": "https://free2aitools.com/api/mcp"
}
}
}5 tools: free2aitools_search, free2aitools_rank, free2aitools_explain, free2aitools_select_model, free2aitools_compare.
Also listed on the Smithery directory listing.
FNI Badge
Embed a live FNI score in your README. Replace <YOUR_UMID> with the id of
your entity from a Search API response (this is a template, not a live badge):
Open Data
Parquet exports available for offline analysis with DuckDB, Pandas, or Spark.
Documentation
- Developer Docs โ API reference, MCP setup, Badge integration
- FNI Methodology โ Scoring formula, sub-factors, anti-manipulation
- Trends โ Weekly AI model intelligence
No auth required. Free to use.
This tool doesn't publish a standard install command โ the repository README on GitHub covers its setup.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.
Licensed under MITโ you can use, modify, and redistribute it under that license's terms.
License
MIT