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Search results for "large-language-model"

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15 results found (Python)
mxcp📁main@2026-04-20🌿 Growing60

Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure

camel📁v0.2.91a1🏛️ Flagship16,753

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

tulip_agent📁0.0.0🌱 Seedling44

autonomous agent with access to a tool library

txtai📁v9.7.0🏛️ Flagship12,412

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

ISC-Bench📁v0.0.5🌿 Growing786

Internal Safety Collapse: Turning the LLM or an AI Agent into a sensitive data generator.

agentscope📁v1.0.19🌿 Growing23,421

Build and run agents you can see, understand and trust.

redis-vl-python📁v0.17.1🌿 Growing385

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

🤖 Transform internal knowledge retrieval with a secure, on-premise RAG-powered chatbot that enhances efficiency through natural language queries.

Observal📁v0.2.0🌱 Seedling572

Observal is an AI agent registry with first in class observabilty and eval framework

OllamaRAG📁main@2026-04-21🌱 Seedling5

🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.

AttentiveSupport📁0.0.0💤 Dormant36

llm-based robot that intervenes only when needed

LLM-API-Key-Proxy📁main/build-20260123-1-bf7ab7e🌱 Seedling448

Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.

Advanced-AI-Agents📁main@2026-04-21🌱 Seedling2

🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.

ai-lead-qualifier📁main@2026-04-21🌱 Seedling2

🧠 Qualify leads with an AI-driven system that understands intent, asks key questions, and structures quality leads without hardcoding processes.

KAG📁v0.8.0💤 Dormant8,668

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