DSPy: The framework for programming—not prompting—language models
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The Modular Platform (includes MAX & Mojo)
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
- avx2
- c99
- cpu-inference
- deep-learning
REAP - Prompts for you to use REA (Reverse Engineer Anything), get the most out of it, and clone or break down any program
- prompt-engineering
- rea
- reverse-enginnering
TranslatedUsing dense-compute cards to accelerate sparse, large-VRAM hosts, where the hosts include AI Max+ 395, M3 512G, DGX Spark, and others.
- llama-cpp
- pipeline-parallelism
- prefill-decode
- rtx-3060
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
- ai
- graphs
- synerise
- embeddings
Romanian and Ukrainian child-safety structured-check toolkit and synthetic research records
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
- agent-architecture
- git-automation
- llm-agents
- program-synthesis
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
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.
- ai-agents
- benchmark
- coding-agents
- embodied-ai
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.
A wrapper module for using spaCy natural language processing library from the Ruby programming language via PyCall
Think of it as screen-sharing for AI pair programming, but everyone can type.
⚽ Live football(soccer) scores, fixtures and standings for the competition you follow (World Cup, Premier League, LALIGA, Champions League and 12 more) in your terminal, your Claude Code and Cursor CLI statusline, and MCP clients. No API key. Independent fan project. Not affiliated with FIFA, any confederation, league or club, or Anthropic.
- claude-code
- cli
- football
- futbol
Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.
Run agentic TUIs inside Neovim with persistent float/panel views and editor-context helpers.
- agentic-ai
- agentic-workflow
- agents
- claude