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← All rankings · 🧠 LLM providers · 2026-08
LLM PROVIDERS

Fireworks

Fireworks is tracked as part of LLM providers, measuring its mention/usage across GitHub AI repos.

6
mentions
#17
rank in LLM providers
0.1%
share
6
sample repos

REPOS Repos using / mentioning Fireworks (Top 6 by stars)

OpenSIN-Code/SIN-Code-FireworksAI-OpenCode-Config

OpenCode CLI configuration for Fireworks AI pool — 12 models, temperature 0, reasoning variants

Python 1 AI 75 2 sig
karthikj5453/Kaizen-AI

An AI-powered self-assessment platform that uses multiple intelligent agents to generate adaptive questions, evaluate knowledge, identify skill gaps, and provide personalized learning paths using Fireworks AI and AMD GPU acceleration.

TypeScript 1 AI 75 2 sig
milkandvodka/AegisRouter-amd

a risk-aware, token-efficient Fireworks model routing agent.

Python 0 AI 45
yash6810/context-relay

Context Relay saves your project context once and drops a ready-to-paste briefing into ChatGPT, Claude, Gemini, Perplexity, Grok, or Mistral — so you stop re-explaining the same project every time you switch tools. Runs on Gemma 3 via Fireworks AI.

TypeScript 0 AI 45
Yogs4R/fuenzer-sports

An interactive AI-driven sports analytics simulation platform. It functions as a hybrid between an instant search interface and a sports management game.

TypeScript 0 AI 70 1 sig
naman-swami/ValueStream_AI

# ValueStream AI: Enterprise Multi-Agent Video Captioning Pipeline **ValueStream AI** is an enterprise-grade, multi-agent video captioning studio built on **Fireworks AI**. It transforms raw video streams into high-impact, four-tone captions verified through an autonomous, self-improving collaborative agentic loop. -

Python 0 AI 75

A "mention" means the repo description, topics, or README summary contains the string "Fireworks".

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Aggregated from latest content snapshots of AI-relevant repos (AI score ≥ 40). methodology