What AI engineers are building

Developers are building and sharing open-source AI tools, models, and frameworks for various applications

5 deep dives · 2 builder stories · 14 quick hits · 347 items scanned

AI agentsLLM evaluationmulti-agent systemsopen-source frameworksmodel releases

Deep dives

GitHub

AI agentstrading researchmulti-agent systems

EthanXiang777/circuit-framework

Ethan Xiang built a multi-agent LLM trading research system to facilitate the development of AI-powered trading strategies. The system is designed to be modular and extensible, allowing users to easily integrate their own models and agents. This project demonstrates the potential of AI in finance and the importance of open-source collaboration.

Why it matters

The circuit framework has the potential to revolutionize the field of AI-powered trading by providing a flexible and scalable platform for researchers and developers. Its open-source nature also promotes transparency and collaboration, which are essential for advancing the field.

Try thisExplore the circuit framework repository and experiment with integrating your own models and agents to see how it can be applied to your own research or projects.

View on GitHub↗

GitHub

AI securitycontrol planeagent execution

eli-labz/Agent-Execution-Partnership

The eli-labz team developed an open-source control plane for AI agents, ensuring that every action is authorized, observable, and verifiable. This project addresses the need for more secure and transparent AI systems, particularly in critical applications.

Why it matters

The Agent Execution Partnership is crucial for building trust in AI systems, as it provides a framework for ensuring that AI agents operate within established boundaries and are accountable for their actions.

Try thisInvestigate the Agent Execution Partnership repository and consider how its principles can be applied to your own AI projects to enhance security and transparency.

View on GitHub↗

Hugging Face

open-source modelsimage-text-to-textHugging Face

thinkingmachines/Inkling

The thinkingmachines team released a trending model on Hugging Face, which is an image-text-to-text model that has gained significant attention and downloads. This model demonstrates the power of open-source collaboration and the importance of sharing knowledge and resources in the AI community.

Why it matters

The Inkling model is a notable example of how open-source models can drive innovation and advancement in the field of AI. Its popularity and widespread adoption demonstrate the value of sharing knowledge and resources.

Try thisExplore the Inkling model and its applications, and consider how you can leverage open-source models like this in your own projects or research.

View on Hugging Face↗

GitHub

AI agentsoperating harnessmodel-agnostic

PromptPartner/agentsmith

The PromptPartner team developed a universal, model-agnostic operating harness for AI agents, which provides a lean core and work-type profiles assembled by one setup script. This project simplifies the deployment and management of AI agents, making it more accessible to a wider range of users.

Why it matters

The agentsmith project has the potential to democratize access to AI agents by providing a user-friendly and flexible framework for deploying and managing these agents.

Try thisInvestigate the agentsmith repository and consider how its principles can be applied to your own AI projects to simplify deployment and management.

View on GitHub↗

GitHub

AI codingopen-sourceterminal agent

KlaatAI/klaatcode

The KlaatAI team released an open-source AI coding agent for the terminal, which provides Claude Code-grade accuracy with smart model routing. This project demonstrates the potential of AI in coding and development, and its open-source nature promotes collaboration and transparency.

Why it matters

The klaatcode project is significant because it provides a high-quality, open-source coding agent that can be used by developers to improve their productivity and efficiency.

Try thisExplore the klaatcode repository and experiment with using the coding agent in your own development projects.

View on GitHub↗

What people actually built

Hacker News

Show HN: A self-running space economy SIM in Rust and Bevy

A space-economy simulation where autonomous ships operate without scripting, chasing the best trade routes and taking delivery contracts.

How it works

The simulation is built using Rust and Bevy, with each ship having its own planner to make decisions based on the current state of the economy.

Steal thisYou can create complex, dynamic simulations by giving individual agents simple goals and rules, and letting the system evolve from their interactions.

View on GitHub↗

Hacker News

Show HN: An MCP server that turns async-work practices into tools

An MCP server that helps teams work remotely more effectively by turning async-work practices into tools.

How it works

The server provides a platform for teams to manage their workflows, communicate, and collaborate in a more structured and efficient way.

Steal thisBy formalizing and tooling async-work practices, teams can improve their productivity and reduce misunderstandings when working remotely.

View on GitHub↗

Quick hits

Show HN: CodeAlmanac – Karpathy-style codebase wiki from your conversations ↗

Hacker News

CodeAlmanac is an open-source tool that generates a wiki for your coding agents based on your conversations with them.

thinkingmachines/Inkling ↗

Hugging Face

Inkling is a trending model on Hugging Face, an image-text-to-text model that has gained significant attention and downloads.

EthanXiang777/circuit-framework ↗

GitHub

The circuit framework is a multi-agent LLM trading research system that provides a modular and extensible platform for developing AI-powered trading strategies.

Show HN: Imagin Raw – A 9MB Open-Source Alternative to Adobe Bridge for Mac ↗