cerebras

Lean, fine tuned Opencode multi agent suite · Mix any models · Auto delegate tasks

几百个免费 AI 模型配额，一键接入本地项目。| Hundreds of free AI model quotas, one-click access to local projects.

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

Interact with any LLM service

A robust Node.js proxy server that automatically rotates API keys for Gemini and OpenAI APIs when rate limits (429 errors) are encountered. Built with zero dependencies and comprehensive logging.

An undetectable AI assistant that lives on your screen. Solves problems, answers questions, analyzes screenshots — invisible to everyone but you.

OpenAI-compatible gateway aggregating 8 free LLM providers with automatic failover, circuit breakers, and smart routing. 32+ models, zero cost.

PHP library for interacting with AI platform provider.

The open standard for omnipresent AI. Claude Code, OpenCode, Gemini CLI, Shell, Chrome, DeepSeek Harness. Model-agnostic

Ultra-fast, customizable AI voice dictation in any active app on Windows (MacOS and Linux coming soon)

Autonomous AI agent for Instagram — generates reels, carousels, memes, quote cards and posts them on autopilot. Free-tier LLM router, commercial-safe licences, 8-feature anti-detection layer, 671 tests. Single VPS deploy.

Simulate human behavior with mass LLMs

AI-powered geopolitical news intelligence platform. Ingests 100K+ daily events from GDELT, stores in MotherDuck (DuckDB), orchestrates with Dagster, and features an AI chat interface with Text-to-SQL. Full data engineering stack at $0/month.

A tool keep tabs on your Cerebras Code usage limits, in real time

✅ Agentic OS-aware Intention Programming Technology

Query LLM with Chain-of-Tought

Cerebras API proxy for Immersive Translate.

🦖 X—LLM: Simple & Cutting Edge LLM Finetuning

An advanced RAG (Retrieval-Augmented Generation) system that provides intelligent access to Cerebras inference documentation with citations, conversation memory, and multiple interfaces.