Tool Release

Relm brings local LLMs to R with native interpretability

Relm is a new R package that allows users to run large language models locally as native R objects, with built-in interpretability tools. It integrates with the R ecosystem, enabling developers and data scientists to leverage LLMs directly in their R workflows without external APIs.

5 engagement·1 source·Thu, Jul 9, 2026, 09:58 AM

The Relm package, shared on GitHub and discussed on Hacker News, provides a way to load and interact with local LLMs as first-class R objects. It includes interpretability features, such as attention visualization and token-level explanations, making it easier for R users to understand model behavior. The package supports models like Llama and Mistral, and aims to bridge the gap between LLMs and statistical computing in R. This is significant for practitioners who prefer R for data analysis and want to incorporate LLMs without leaving their familiar environment.

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Relm(tool)R(tool)GitHub(tool)

Tool ReleaseWed, Jul 8, 2026, 07:28 PM

AgentMaker: a new Python framework for building LLM agents and multi-agent systems

AgentMaker is a general-purpose Python framework for building LLM agents and multi-agent systems, featuring tools, memory, RAG, context engineering, guardrails, human-in-the-loop, and observability. It is released under MIT license on GitHub and PyPI.

32 engagement·1 source·github

ProductSat, Jul 11, 2026, 10:45 PM

LLM hardware recipe database with filters and community usage tracking

A community-driven database that lists which LLM models run on which hardware, with performance details. Users can filter by hardware, submit new recipes, and mark which recipes they actively use to show popularity. It solves the problem of finding compatible model-hardware combinations for LLM deployment.

4 engagement·1 source·reddit

ProductSun, Jul 12, 2026, 03:16 PM

OneMind: per-project LLM memory via a single protocol file in git repos

OneMind is a concept for a protocol file (onemind.md) that, when placed in a git repository, enables per-project LLM memory by storing structured references and context. It aims to give LLMs persistent, project-specific memory without bloating the repo, solving the problem of LLMs lacking long-term context across sessions for developers.

4 engagement·1 source·reddit

Tool ReleasefeaturedSun, Jul 5, 2026, 03:20 PM

RightNow AI releases 'Auto' compiler that records LLM agent behavior into verified WASM binaries

RightNow AI introduced Auto, a compiler that records LLM agent behavior, identifies repeatable patterns, and compiles them into verified, sandboxed WebAssembly binaries that run for microdollars. The system includes a tiered runtime that falls back to frontier models for novelty and recompiles results, aiming to eliminate re-solving the same tasks. A paper detailing the approach is available on arXiv.

74 engagement·1 source·github

ProductFri, Jul 10, 2026, 09:48 AM

Interactive app teaching LLM pipeline from pattern matching to transformer training

An interactive web app that walks through every stage of the LLM pipeline, from basic pattern matching to training a transformer from scratch. It includes working code that users can run locally, making it an educational tool for developers and learners.