kepano/obsidian-skills
Obsidian Skills provides a collection of agent skills enabling AI agents to interact with Obsidian vaults, facilitating content creation and editing of Markdown, Bases, and JSON Canvas files, as we...
Awesome AI Agents › AI Agent Development
deepset-ai/haystack-cookbook
The Haystack Cookbook is a curated collection of example notebooks designed to demonstrate the practical use of Haystack, an open-source AI framework developed by deepset. This repository serves as a valuable resource for developers and data scientists looking to explore various functionalities of Haystack through hands-on examples. The notebooks cover a wide range of topics including the integration of different model providers, utilization of vector databases, application of diverse retrieval techniques, and experimentation with new features within the Haystack ecosystem. Each example is crafted to showcase a specific use case or demo, making it easier for users to understand and implement similar solutions in their projects. The repository encourages community contributions, allowing users to add their own example notebooks by following a straightforward process. Contributors are guided to place their notebooks in the designated `/notebooks` folder, name them descriptively to reflect the technologies or tasks involved, and update the `index.toml` file with relevant metadata such as titles, topics, and experimental feature links if applicable. This collaborative approach helps in continuously expanding the repository with diverse and up-to-date examples. In addition to the notebooks, the Haystack Cookbook provides links to comprehensive documentation, official tutorials, and a blog for users seeking deeper knowledge about Haystack. The project aims to facilitate learning and adoption of Haystack by providing practical, ready-to-use examples that demonstrate how to leverage the framework's capabilities effectively. Overall, the Haystack Cookbook is an essential toolkit for anyone interested in building AI-powered search and retrieval systems using Haystack.
https://github.com/deepset-ai/haystack-cookbook
Also in AI Agent Development
Panniantong/Agent-Reach
Agent-Reach allows AI agents to access web content from major social media and video platforms through a CLI, without API fees, enhancing their perceptual capabilities.
JCodesMore/ai-website-cloner-template
This project provides a reusable Next.js template for reverse-engineering and cloning any website into a modern codebase using various AI coding agents.
huggingface/smolagents
Smolagents is a minimalistic Python library by Hugging Face for creating intelligent agents that think and act by generating and executing Python code, supporting multiple LLMs, modalities, and tool integrations.
alibaba/page-agent
Page Agent is a JavaScript in-page GUI agent enabling natural language control of web interfaces without browser extensions or headless browsers, supporting various LLMs.
TencentCloud/TencentDB-Agent-Memory
TencentDB Agent Memory provides a local, 4-tier progressive pipeline for AI agent long-term memory, enhancing performance and reducing token usage without external API dependencies.
titanwings/distilly
A meta-skill that distills messages, documents, interviews and public sources about a person into a source-grounded Person Profile, packaged as an Agent Skill for coding agents and chat bots.
coze-dev/coze-studio
Coze Studio is an all-in-one AI agent development platform that simplifies the creation, debugging, and deployment of AI agents through visual tools and supports no-code and low-code development approaches.