What AI engineers are building

Advances in AI agents, LLMs, and evaluation tools dominate the day's signal

5 deep dives · 2 builder stories · 16 quick hits · 376 items scanned

LLMAI agentsevaluation toolsRAGinference

Deep dives

GitHub

LLMAI agentsIDE

mereyabdenbekuly-ctrl/clodex-ide

Mereyabdenbekuly-ctrl has developed Clodex-ide, a local-first, zero-trust agentic IDE for verifiable autonomous software development. This project aims to provide a secure and transparent environment for building and deploying AI-powered applications. The IDE is designed to work seamlessly with various AI frameworks and tools, making it an excellent choice for developers and researchers alike.

Why it matters

Clodex-ide has the potential to revolutionize the way we develop and deploy AI applications, providing a secure and transparent environment for building and testing AI models. Its local-first approach ensures that sensitive data remains on the user's device, reducing the risk of data breaches and unauthorized access.

Try thisExplore the Clodex-ide repository and try building a simple AI-powered application using the provided tools and frameworks.

View on GitHub↗

GitHub

LLMtradingfinance

PengZhang64/circuit-framework

PengZhang64 has created the Circuit Framework, a multi-agent LLM trading research system. This project provides a comprehensive framework for building and testing AI-powered trading strategies, allowing researchers and developers to explore the potential of LLMs in finance. The framework includes a range of tools and libraries for data processing, model training, and strategy evaluation.

Why it matters

The Circuit Framework has the potential to significantly impact the field of finance, enabling researchers and developers to build more sophisticated and effective trading strategies. Its multi-agent approach allows for the integration of multiple LLMs, providing a more comprehensive and nuanced understanding of market trends and patterns.

Try thisExplore the Circuit Framework repository and try building a simple trading strategy using the provided tools and libraries.

View on GitHub↗

GitHub

LLMcodingmemory layer

vshulcz/deja-vu

Vshulcz has developed Deja Vu, a memory layer for coding agents. This project provides a range of tools and libraries for building and testing AI-powered coding assistants, allowing developers to create more sophisticated and effective coding tools. The memory layer includes features such as search, MCP recall, auto-context, and secret redaction.

Why it matters

Deja Vu has the potential to significantly improve the development of AI-powered coding assistants, providing a more comprehensive and nuanced understanding of coding patterns and trends. Its memory layer allows for the integration of multiple coding agents, enabling developers to build more sophisticated and effective coding tools.

Try thisExplore the Deja Vu repository and try building a simple coding assistant using the provided tools and libraries.

View on GitHub↗

Hugging Face

image-text-to-textHugging Facemodel

thinkingmachines/Inkling

ThinkingMachines has released Inkling, a trending model on Hugging Face. This model provides a range of features and capabilities for image-text-to-text tasks, including text generation and image processing. Inkling has been trained on a large dataset and has achieved impressive results in various benchmarks and evaluations.

Why it matters

Inkling has the potential to significantly impact the field of computer vision and natural language processing, providing a more comprehensive and nuanced understanding of image-text relationships. Its high-quality training data and impressive performance make it an excellent choice for developers and researchers alike.

Try thisExplore the Inkling model and try using it for a simple image-text-to-text task, such as image captioning or text generation.

View on Hugging Face↗

GitHub

LLMAI securityvulnerability testing

CyberSunil/LLMVault

CyberSunil has developed LLMVault, an intentionally vulnerable OWASP LLM Top 10 training platform for AI security, prompt injection, RAG security, agent security, and GenAI penetration testing. This project provides a comprehensive framework for testing and evaluating the security of LLMs and AI-powered systems, allowing developers and researchers to identify and address potential vulnerabilities.

Why it matters

LLMVault has the potential to significantly impact the field of AI security, providing a more comprehensive and nuanced understanding of potential vulnerabilities and threats. Its intentionally vulnerable design allows developers and researchers to test and evaluate the security of LLMs and AI-powered systems, identifying and addressing potential weaknesses.

Try thisExplore the LLMVault repository and try using it to test and evaluate the security of a simple LLM or AI-powered system.

View on GitHub↗

What people actually built

Hacker News

Show HN: Wolbarg – Local-first shared memory for AI agents using SQLite

The author built Wolbarg, a local-first shared memory SDK for AI agents using SQLite. This project provides a simple and effective solution for storing and managing AI agent memory, allowing developers to build more sophisticated and effective AI-powered applications.

How it works

Wolbarg uses SQLite as the underlying database, providing a lightweight and efficient solution for storing and retrieving AI agent memory. The SDK includes a range of tools and libraries for building and testing AI-powered applications, allowing developers to create more sophisticated and effective AI-powered systems.

Steal thisThe use of SQLite as a local-first shared memory solution for AI agents can provide a simple and effective way to store and manage AI agent memory, allowing developers to build more sophisticated and effective AI-powered applications.

Open link↗

Hacker News

Show HN: Be the ChatBOT

The author built Be the ChatBOT, an experimental art project and game that allows users to take on the role of an AI chatbot. This project provides a unique and interactive way to explore the capabilities and limitations of AI-powered chatbots, allowing users to gain a deeper understanding of the technology and its potential applications.

How it works

Be the ChatBOT uses a range of AI-powered tools and libraries to generate responses to user input, providing a realistic and engaging experience. The project includes a range of features and capabilities, such as natural language processing and machine learning, allowing users to interact with the chatbot in a more nuanced and realistic way.

Steal thisThe use of interactive and immersive experiences, such as games and art projects, can provide a unique and effective way to explore the capabilities and limitations of AI-powered technologies, allowing users to gain a deeper understanding of the technology and its potential applications.

Open link↗

Quick hits

Show HN: Trying to fix the web scraping industry's benchmark problem ↗

Hacker News

The author is trying to fix the web scraping industry's benchmark problem by creating a new benchmarking framework.

Show HN: Leaves – A text-UI disk usage treemap visualizer ↗

Hacker News

The author has built Leaves, a text-UI disk usage treemap visualizer, to help users visualize disk usage in a more intuitive way.

Show HN: Open-source AI app builder you can embed into your own SaaS ↗

Hacker News

The author has open-sourced an AI app builder that can be embedded into any SaaS application.

Show HN: Nous – give GTM agents one context graph across your tools ↗