L

Large Language Models

rust sdk

https://github.com/agentclientprotocol/rust-sdk

Rust SDK for ACP clients and agents.

python sdk

https://github.com/agentclientprotocol/python-sdk

Python SDK for ACP clients and agents.

🔧🔗https://github.com/google/ml-metrics Ml-metrics provides performant and distributed friendly ML metrics implementations.

🔧🔗https://github.com/google/adk-python An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🔧🔗https://github.com/EleutherAI/lm-evaluation-harness A framework for few-shot evaluation of language models.

https://github.com/Lightning-AI/litgpt 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. 🔗 https://lightning.ai/

OpenLIT is an open-source LLM Observability tool built on OpenTelemetry. 📈🔥 Monitor GPU performance, LLM traces with input and output metadata, and metrics like cost, tokens, and user interactions along with complete APM for LLM Apps. 🖥️

🔧🔗https://github.com/HKUDS/AI-Creator

"AI-Creator: Multi-Modal Agents for Video Production"

SGPT

🔧🔗https://github.com/tbckr/sgpt

SGPT is a command-line tool that provides a convenient way to interact with OpenAI models, enabling users to run queries, generate shell commands and produce code directly from the terminal.

https://github.com/run-llama/LlamaIndexTS LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/getzep/zep

Zep | The Memory Foundation For Your AI Stack

MLX-lm

🔧🔗https://github.com/ml-explore/mlx-lm Run LLMs with MLX

🔧🔗https://github.com/Aider-AI/aider

aider is AI pair programming in your terminal

Obsidian Vault LLM Assistant

🔧🔗https://github.com/brianstm/obsidian-vault-llm-assistant

An obsidian notebook plugin that uses LLM (OpenAI or Gemini) to answer questions and create new n

https://github.com/mlc-ai/mlc-llm Universal LLM Deployment Engine with ML Compilation

🔧🔗https://github.com/codelion/pts

Pivotal Token

🔧🔗https://github.com/cognitivecomputations/dolphin-utils

This script analyzes the model.safetensors.index.json file within a model directory to generate a condensed summary of the model's architecture. It groups similar parameter names using range notation (e.g., model.layers.[0-39].mlp.down_proj.weight) and displays the shape and data type (precision) for each parameter group.

https://github.com/lmstudio-ai/lms LMStudio in your terminal https://lms.dev/

Chamber

🔧🔗https://github.com/cirruslabs/chamber Chamber is a tool for running coding agents like Claude inside Tart macOS virtual machines with the current directory mounted. It provides a lightweight isol

🔧🔗https://github.com/microsoft/Trace End-to-end Generative Optimization for AI Agents