Dev
GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
3,195
repos tracked
105
surfaced this week
193
created < 30d
Python
top language
257 repos
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An open-source inference engine for AI functions in SQL
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Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
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LLM inference in C/C++
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Turn notebook dialogs into LLM input, and chats into dialog text and back
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Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'
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🧱 Experimental library for building inference engines
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Read, search, and edit AI dialogs stored as Jupyter notebooks, and convert them to and from LLM chat histories
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A high-throughput and memory-efficient inference and serving engine for LLMs
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An LLM-powered agent for Datasette
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Access large language models from the command-line
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Personal email archive with SQLite+FTS5 full-text search and MCP server for LLM access. Part of the *-memex ecosystem.
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Learn harness engineering by building Claude Code from scratch. Free, open-source course: 8 articles, 6 videos, 1 codebase.
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UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
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Implement a reasoning LLM in PyTorch from scratch, step by step
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SGLang is a high-performance serving framework for large language models and multimodal models.
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Autoresearch agents that improve your benchmark: independent re-measurement, enforced budgets, results as pull requests
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Data model and surgery toolkit for dialogs and notebooks
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🙌 OpenHands: AI-Driven Development
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LLM Architecture Gallery source data
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LLM integration plugin for other plugins to depend on
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A Python library encapsulating best practices for rubric-based evaluation of LLM/VLM outputs using AI judges such as LLMs and decision models.
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OctoTools: An agentic framework with extensible tools for complex reasoning
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Local-first lab for testing AI agent workflows end to end: emulated Slack (signed events, buttons), local S3/SQS, deterministic authorization, and independent evidence instead of self-grading. Optional Google AX (Agent Executor) + Agent Substrate lane on GKE/gVisor, reported per assertion. Independent; not affiliated with Google.
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Open-source skills for designing and reviewing software with AI agents
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A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.
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RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
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Machine Learning Engineering Open Book
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
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🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.
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the LLM vulnerability scanner
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Official repository for BrickWright, a framework that enables LLM agents to create physically feasible LEGO® builds from text or image prompts.
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OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
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The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
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Multimodal RL training framework for diffusion & omni models
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declarative self-improving language-model programs for Elixir 😇
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AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
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The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
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A high-throughput and memory-efficient inference and serving engine for LLMs
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A high-throughput and memory-efficient inference and serving engine for LLMs
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The best way to get AI coding agents to solve hard problems in complex codebases.
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Grimoire's Tome & The Grim Council. A Prompt Spellbook of /skills. The #1 Coding Wizard 🧙♂️📖
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Programmable chat templates for LLM training and inference.
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Executable RL environment for diagnosing and repairing distributed PyTorch training failures, with sandboxed execution and correctness-verified recovery rewards.
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Ephemeral Workspaces, durable shared history. LayerFS gives every agent a complete, writable filesystem Workspace over shared committed history, without copying the base. Agents work in parallel, commit what changed as deduplicated checkpoints, then branch, rewind or merge. Try it with LayerFS × DSH.
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VS Code extension for LLM-assisted code/text completion
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Documents related to an attempt with Levent Alpoge to get Claude to finish Balaban's program to construct Yang--Mills. (Under construction!)