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Awesome-ai-agents Alternatives
Similar projects and alternatives to awesome-ai-agents
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AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
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haystack
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
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JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
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autogen
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
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EdgeChains
EdgeChains.js is Full-Stack GenAI library. Front-end, backend, apis, prompt management, distributed computing. All core prompts & chains are managed declaratively in jsonnet (and not hidden in classes)
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llama-recipes
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
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Auto-GPT
Discontinued An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
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AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
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ToRA
ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools [ICLR'24].
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better awesome-ai-agents alternative or higher similarity.
awesome-ai-agents discussion
awesome-ai-agents reviews and mentions
Posts with mentions or reviews of awesome-ai-agents.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-11-04.
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AIM Weekly for 04Nov2024
🌐 Composed Image Retrieval 📎 Intro to Multimodal LLama 3.2 🛠️ Multi Agent Concierge 💻 RAG with Langchain Granite, Milvus 🫶 Download content ✅ Transformer Replacement? 🤖 vLLM for runing models 🌐 Amphion 📝 Autogluon 🚙 Notebook LLama like Google's Notebook LLM 🫶 Monocle2ai for tracing GenAI app code LFA&D Project 🤖 Bee Agent Framework ✅ LLama RFP Response ▶️ GenAI Script 👽 Simular AI Agent S 🦾 DrawDB with AI ✨ Ollama with LLama 3.2 Vision!!!! Preview 🚕 Powerful RAG Checker 📊 SQL Generator 💻 Role of LLMs 🐍 Document Extraction 🕶️ Open Source Vector DB Reddit 🍔 The Practical Guide to Self Hosting LLM 🦾 Stagehand Controller 🕶️ Understanding HNSWLIB 🐍 Best practices in RAG 💻 Enigma Agent 📝 Langchain, Ollama, Phi3 for Function Calling 🔋 Compass Judger 📝 Princeton NLP SimPO 🍔 Princeton NLP ProLong 🔋 Princeton NLP HELMET 🧐 Ollama Cheatsheet 🚕 Princeton NLP CopyCat 📊 Princeton NLP Shp 🕶️ Can LLM Solve Hard Github Issues 📝 Enabling Large Language Models to Generate Text with Citations 🔋 Princeton NLP CharXiv 📊 Awesome AI Agents List 🦾 Nomic’s Matryoshka text embedding model
- Has Anthropic Claude just wiped out an entire industry?
- Open-source secure sandboxes for AI code execution
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Llama 3 with Function Calling and Code Interpreter
# TODO: Get your Groq AI API key from https://console.groq.com/ GROQ_API_KEY = "" # TODO: Get your E2B API key from https://e2b.dev/docs E2B_API_KEY = "" # Or use 8b version # MODEL_NAME = "llama3-8b-8192" MODEL_NAME = "llama3-70b-8192" SYSTEM_PROMPT = """you are a python data scientist. you are given tasks to complete and you run python code to solve them. - the python code runs in jupyter notebook. - every time you call `execute_python` tool, the python code is executed in a separate cell. it's okay to multiple calls to `execute_python`. - display visualizations using matplotlib or any other visualization library directly in the notebook. don't worry about saving the visualizations to a file. - you have access to the internet and can make api requests. - you also have access to the filesystem and can read/write files. - you can install any pip package (if it exists) if you need to but the usual packages for data analysis are already preinstalled. - you can run any python code you want, everything is running in a secure sandbox environment""" tools = [ { "type": "function", "function": { "name": "execute_python", "description": "Execute python code in a Jupyter notebook cell and returns any result, stdout, stderr, display_data, and error.", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "The python code to execute in a single cell.", } }, "required": ["code"], }, }, } ]
- Show HN: Open-source SDK for creating custom code interpreters with any LLM
- List of open-source AI assistants
- List of AI Agents
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Overview: AI Assembly Architectures
github.com/awesome-ai-agents
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List of Awesome AI Agents like AutoGPT and BabyAGI / Many open-source Agents with code included!
Github: https://github.com/e2b-dev/awesome-ai-agents and https://github.com/EmbraceAGI/Awesome-AGI
- Show HN: A list of open-source AI agents
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Stats
Basic awesome-ai-agents repo stats
18
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8.0
9 days ago
e2b-dev/awesome-ai-agents is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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