What AI engineers are building

AI agents and LLM tooling advancements drive innovation in automation and evaluation

4 deep dives · 2 builder stories · 16 quick hits · 351 items scanned

LLMAI AgentsAutomationEvaluation

Deep dives

GitHub

LLMAI AgentsIDE

mereyabdenbekuly-ctrl/clodex-ide

Mereyabdenbekuly-ctrl has released Clodex-ide, a local-first, zero-trust agentic IDE for verifiable autonomous software development. This project aims to provide a secure and transparent development environment. The IDE is designed to work with various LLMs and AI agents.

Why it matters

Clodex-ide is an innovative approach to software development, focusing on security, transparency, and autonomy. It has the potential to revolutionize the way developers work with AI agents and LLMs.

Try thisExplore the Clodex-ide repository and experiment with its features to understand its capabilities and limitations.

View on GitHub↗

GitHub

LLMAI AgentsTrading

PengZhang64/circuit-framework

PengZhang64 has developed the Circuit Framework, a multi-agent LLM trading research system. This framework is designed to facilitate research and development of AI-powered trading systems. It provides a comprehensive platform for building and testing trading strategies.

Why it matters

The Circuit Framework is a significant contribution to the field of AI-powered trading research. It has the potential to accelerate the development of more sophisticated trading systems.

Try thisInvestigate the Circuit Framework's architecture and explore its potential applications in trading research.

View on GitHub↗

Hugging Face

LLMImage-TextHugging Face

thinkingmachines/Inkling

ThinkingMachines has released Inkling, a trending model on Hugging Face. Inkling is an image-text-to-text model that has gained significant attention in the AI community. It has been downloaded over 7,870 times and has 969 likes.

Why it matters

Inkling is a notable example of the rapid progress being made in AI model development. Its popularity demonstrates the growing interest in image-text-to-text models.

Try thisExperiment with Inkling and explore its capabilities in image-text-to-text tasks.

View on Hugging Face↗

GitHub

LLMCoding AgentsMemory Layer

vshulcz/deja-vu

Vshulcz has developed Deja Vu, a memory layer for coding agents. Deja Vu provides features such as search, MCP recall, auto-context, secret redaction, stats, share, and sync over session logs. It is designed to work with various coding agents, including Claude Code, Codex, and Gemini CLI.

Why it matters

Deja Vu is an innovative solution for coding agents, providing a comprehensive memory layer that enhances their capabilities. Its features have the potential to improve the efficiency and effectiveness of coding agents.

Try thisInvestigate Deja Vu's features and explore its potential applications in coding agent development.

View on GitHub↗

What people actually built

I made LLMs debate each other about the question you ask until the consensus

The author built a system that enables LLMs to debate each other on a given question until they reach a consensus. This system is open-source and browser-only, allowing users to explore the debate process and gain insights into the LLMs' decision-making.

How it works

The system uses a consensus-driven approach, where the LLMs engage in a debate and iteratively refine their arguments until they reach a consensus. The author provides an insightful result of the LLMs reaching consensus, demonstrating the potential of this approach.

Steal thisThe ability to create a consensus-driven debate system using LLMs can provide valuable insights into their decision-making processes and has potential applications in various domains.

View on Reddit↗

I built an open-source profiler for voice agents

The author built an open-source profiler for voice agents, called VoiceGateway, which allows developers to add a single line of code to their voice agent application and gain insights into the cost, latency, and quality of each call.

How it works

VoiceGateway works by integrating with LiveKit and Pipecat, providing a comprehensive view of the voice agent's performance. The author demonstrates the profiler's capabilities and provides a clear explanation of its inner workings.

Steal thisThe creation of an open-source profiler for voice agents can significantly improve the development and optimization of voice agent applications, enabling developers to better understand and optimize their systems.

View on Reddit↗

Quick hits

Show HN: Sandboxd – Self-Hosted Lovable ↗

Hacker News

Sandboxd is a self-hosted infrastructure for building and managing AI-powered applications, providing a comprehensive platform for developers.

KlaatAI/klaatcode ↗

GitHub

Klaatcode is an open-source AI coding agent that provides Claude Code-grade accuracy with smart model routing, supporting various AI models and cutting costs.

CyberSunil/LLMVault ↗

GitHub

LLMVault is an intentionally vulnerable OWASP LLM Top 10 training platform for AI security, prompt injection, RAG security, agent security, and GenAI penetration testing.

prism-ml/Ternary-Bonsai-27B-gguf ↗