Your personal EQ coach. Build social skills and learn to handle conflict through realistic role-play and personalized feedback.
- ai-in-education
- communication-skills
- conflict-resolution
- llm
47,133 repositories indexed
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Your personal EQ coach. Build social skills and learn to handle conflict through realistic role-play and personalized feedback.
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
AI Agent Identity and Access Management and Inference Firewall
Open detection-rule standard for AI agent security threats — like Sigma, but for AI agents. Executable, testable rules for prompt injection, tool poisoning, context exfiltration and MCP attacks. Merged into open-source projects at Microsoft, Cisco, Gen Digital, MISP and FINOS. MIT-licensed.
Make Codex and Claude Code subscriptions go further: a local model router that gives routine agent work to economical models and keeps your strongest model for the hard parts.
A curated library of high-quality, professionally crafted prompts for common development tasks. Save time and improve your AI interactions with battle-tested prompt templates. You can install it as an Gemini CLI Extension.
An Atom package for Elixir
Neovim plugin for interacting with LLM's and building editor integrated prompts.
TranslatedAn AI avatar for real-time voice/text conversations with idols from "The iDOLM@STER Shiny Colors": original Japanese voice + Chinese subtitles, recalling the original story, memory shared across characters; supports Google/GitHub login and bring-your-own key, one-command deployment with Docker Compose (inspired by LAPLACE Eidolon)
Aixio Layer v2 recovers editable layers from flat designs where possible. 150-design benchmark vs Canva Magic Layers, Qwen-Image-Layer and GPT-6 Astra Ultra.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
A Java library to use the OpenAI Api in the simplest possible way.
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
Romanian and Ukrainian child-safety structured-check toolkit and synthetic research records
OpenAI-compatible async gateway for muse.ai with pluggable drivers (mock / browser-CDP / http)
TranslatedBullFlow — Open-source enterprise RAG solution: knowledge base → automated marketing content → omnichannel publishing. The entire knowledge base pipeline runs on local open-source models, with no paid models needed; AI Agent creates image-text posts / images / videos, with one-click publishing to 17 platforms including Douyin, Xiaohongshu, WeChat Official Accounts, LinkedIn, and YouTube. Commercial-grade, multi-tenant, billing & admin built in. MIT
Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers/LLM, with compute-matched benchmarking and a platform for autonomous architecture research.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
C++/CUDA single-GPU inference engine for Qwen3.8 (incl. Qwen3.8-Flash-Next with offloaded experts) on the RTX 5090; grew from NInfer
Neovim edit completion plugin
TranslatedGuide to buying and renewing ChatGPT Pro100 (10x, formerly 5x) / Pro200 (20x) in China: Pro100's usage within the Work/Codex plan is doubled with the price unchanged; your own account, Alipay, self-service or manual processing, and a 30-day subscription guarantee. Includes Chinese, English, and Russian.
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.