AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
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Updated
Jun 8, 2024 - Python
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
LlamaIndex is a data framework for your LLM applications
Harness LLMs with Multi-Agent Programming
Agents and RAG workflows with little to no code
Open-source alternative to Assistant's API with a managed backend for memory, RAG, tools and tasks. ~Supabase for building AI agents.
A Generative AI inspired project which makes use of multiple Artificial Intelligence "Agents" to fetch news articles about a topics, analyze them and write it in easy to understand way. The agents reiterate over their responses and reevaluate them in order to achieve accurate outputs.
An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot
Composio equips agents with well-crafted tools empowering them to tackle complex tasks
Instantly orchestrate multi-agent workflows as services - batteries included. 🪡
Python Coding Agent is an Crew AI Agent built using OpenAI's GPT-3.5 and Groq, designed to help with coding tasks such as generating code snippets, debugging, and providing code explanations. It aims to enhance productivity and learning through interactive sessions.
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Autonomous Agents (LLMs) research papers. Updated Daily.
This is the official repository of the paper "Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey"
Build LLM-powered applications in Ruby
Build real-time multimodal AI applications 🤖🎙️📹
Pandora FMS is an open source monitoring application whose origin dates back to 2004. It integrates in the same application the monitoring of different infrastructure elements: networks, applications, servers, web, and other specific data sources such as logs, WMI, Netflow or SNMP traps.
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