kenshiro-o

kenshiro-o's Stars

• camel-ai/camel

  🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

  Language:Python4.9k600

• singulatron/singulatron

  Run and develop self-hosted AI apps

  Language:Go855

• ezodude/orra

  Dev-friendly platform providing a set of building blocks and convention to help you ship robust and reliable multi-agent apps.🪡

  Language:Python10

• mistralai/mistral-finetune

  Language:Python2.5k169

• tiangolo/full-stack-fastapi-template

  Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

  Language:TypeScript24.7k4.2k

• DAGWorks-Inc/burr

  Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.

  Language:Python74941

• google-gemini/cookbook

  Examples and guides for using the Gemini API.

  Language:Jupyter Notebook4.2k571

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  15.9k2k

• phidatahq/phidata

  Build AI Assistants with memory, knowledge and tools.

  Language:Python10.6k1.5k

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Shell24.5k3.1k

• danmindru/page-ui

  📃 Landing page UI components for React & Next.js, built on top of TailwindCSS

  Language:TypeScript61127

• UdaraJay/Pile

  Desktop app for digital journaling.

  Language:JavaScript1.7k93

• unacao/pygptgui

  What happens with GPT4V + PyAutoGUI?

  Language:Python11

• nishijima13/chatgpt_gui_operation_sample

  Sample code of GUI operation by natural language using ChatGPT(gpt-3.5-turbo) and PyAutoGUI. In this sample code, ChatGPT opens Notepad and writes the specified contents.

  Language:Python5

• langroid/langroid

  Harness LLMs with Multi-Agent Programming

  Language:Python2k195

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript37.8k5.1k

• microsoft/playwright-python

  Python version of the Playwright testing and automation library.

  Language:Python11.2k849

• browserless/browserless

  Deploy headless browsers in Docker. Run on our cloud or bring your own. Free for non-commercial uses.

  Language:TypeScript8.2k682

• shaman-ai/agent-actors

  Language:Python26524

• asg017/sqlite-vss

  A SQLite extension for efficient vector search, based on Faiss!

  Language:C++1.6k59

• e2b-dev/code-interpreter

  Python & JS/TS SDK for adding code interpreting to your AI app

  Language:Python88155

• mattzcarey/code-review-gpt

  Code review powered by LLMs (OpenAI GPT4, Sonnet 3.5) & Embeddings ⚡️ Improve code quality and catch bugs before you break production 🚀 Lives in your Github/GitLab/Azure DevOps CI

  Language:TypeScript1.4k137

• promptfoo/promptfoo

  Test your prompts, agents, and RAGs. Use LLM evals to improve your app's quality and catch problems. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

  Language:TypeScript3.6k252

• mendableai/firecrawl

  🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

  Language:TypeScript7.8k566

• tinygrad/open-gpu-kernel-modules

  NVIDIA Linux open GPU with P2P support

  Language:C78659

• Filimoa/open-parse

  Improved file parsing for LLM’s

  Language:Python2.1k80

• plandex-ai/plandex

  AI driven development in your terminal. Designed for large, real-world tasks.

  Language:Go10k715

• acmeyer/readwise-chat

  A chat bot that pulls from your Readwise highlights, using ChatGPT API.

  Language:Python22

• nilsherzig/LLocalSearch

  LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

  Language:Go5.4k332

• princeton-nlp/SWE-agent

  SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

  Language:Python12k1.2k