Search results for "language-model"
Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.
Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure
The only fully local production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ LLMs.
🌱 A little course on Reinforcement Learning Environments for evaluating and training Language Models
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
autonomous agent with access to a tool library
Internal Safety Collapse: Turning the LLM or an AI Agent into a sensitive data generator.
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
LLM7.io offers a single API gateway that connects you to a wide array of leading AI models from various providers.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, m
Build and run agents you can see, understand and trust.
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
Must-read papers on Repository-level Code Generation & Issue Resolution 🔥
Rails Engine with MCP compliant Spec.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch). Lightweight, extensible Python/FastAPI—use as library or standalone service.
📝 Enhance your academic writing with tailored AI prompt templates and practical agent skills to boost efficiency and reduce repetitive tasks.
🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Type-safe AI agents for Go. Suricata combines LLM intelligence with Go’s strong typing, declarative YAML specs, and code generation to build safe, maintainable, and production-ready AI agents.
llm-based robot that intervenes only when needed
Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.
🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.
🧠 Qualify leads with an AI-driven system that understands intent, asks key questions, and structures quality leads without hardcoding processes.
🤖 Analyze financial data effortlessly with FinRobot, an open-source AI agent platform powered by large language models for insightful decision-making.
📚 Automate literature surveys with AI agents using a structured protocol for thorough research and insightful report generation.
🚀 Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.
GEON: Structure-first decoding via equivalence classes and field closure
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base
A simple task management system for managing AI dev in Cursor