An extensible CLI for integrating LLM models with a flexible scripting system
distil labs — Replace LLMs with Custom Small Language Models
Train and deploy custom small language models that are faster, cheaper, and just as accurate as LLMs.
Patrick Collison on Twitter / X
I want some kind of LLM workflow tool.• Ability to manage a set of input files (Markdown or similar), plus other general-purpose context.• With real-time collaboration. (And maybe some concept of snapshots or VCS integration.)• And the ability to create/manage a inference…— Patrick Collison (@patrickc) June 6, 2026
Using LLM in the shebang line of a script
This comment on Hacker News inspired me to investigate patterns for using my LLM CLI tool in a shebang line:
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
Recent large language models (LLMs) advancements sparked a growing research interest in tool assisted LLMs solving real-world challenges…
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Training Large Language Models with Interpreter Feedback using WebAssembly
A fast, local, and secure approach to training LLMs for code with WebAssembly and interpreter-based rewards
Alex Albert on Twitter / X
Introducing the Model Context Protocol (MCP)An open standard we've been working on at Anthropic that solves a core challenge with LLM apps - connecting them to your data.No more building custom integrations for every data source. MCP provides one protocol to connect them all: pic.twitter.com/kYsivQyPDq— Alex Albert (@alexalbert__) November 25, 2024
Overview - GroqDocs
Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.
Introducing any-llm: A unified API to access any LLM provider
When it comes to using LLMs, it’s not always a question of which model to use: it’s also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.
Build agents, not pipelines
There are only two ways to use LLMs in a computer program: as part of a pipeline, or as an agent. In other words, either you express the control flow of the program in code, or you give a LLM tools and allow it to manage the control flow itself1.
Model Context Protocol
An open protocol that enables seamless integration between LLM applications and external data sources and tools. - Model Context Protocol
prime-radiant-inc/engineering-notebook
CLI tool that ingests Claude Code sessions, generates LLM summaries, and serves a browsable engineering journal
Cross-Model Evaluation: kaish collection syntax across 7 LLMs (DeepSeek, Gemini, Claude, Gemma, GLM, Qwen)
Cross-Model Evaluation: kaish collection syntax across 7 LLMs (DeepSeek, Gemini, Claude, Gemma, GLM, Qwen) · GitHub
