explainx
Explain & debug any blackbox machine learning model with a single line of code.
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
Explain & debug any blackbox machine learning model with a single line of code.
LightningRAG is a full-stack Vue + Gin starter with a decoupled frontend and backend, plus built-in, extensible RAG (retrieval-augmented generation): knowledge bases, vector search, and integrations with many LLM and vector-store providers
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
A native .NET LLM inference engine for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability
Run Claude Code, Codex, and other agent CLIs in Obsidian
⬛ A native connected terminal for AI agent development. 为 AI Agent 开发而生的原生互联终端。
CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.
Reconcile stuck AI-agent tasks after restarts and timeouts. Preview SQLite changes, close stale delivery states, and never guess success.
基于LangChain、FastAPI和React的RAG项目,主分支为基于知识图谱的知识管理平台,base-rag分支为开箱即用的基础RAG项目供学习使用
Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
AI agent tooling for data engineering workflows.
A swarm of disposable agents for unattributable web interaction
Run Claude agents in secure cloud sandboxes — via API, CLI, or Slack. One call. Full agent. Zero infrastructure.
EdgeBench: Unveiling scaling laws of learning from real-world environments
WeChat-to-Codex bridge for running Codex app-server from chat, with threads, slash commands, approvals, agents, automation, uploads, and assistant records.
Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher.
A simple, fast and robust program-aware agentic inference system.
Harness-oriented agent system framework for production-grade LLM agent applications
Open Source and Free Alternative to ChatGPT Atlas.
MCP server enabling AI agents to interact with Flutter apps at runtime - let them inspect widgets, simulate taps, enter text, scroll, and take screenshots.
AI-Native 工程师招聘面试官手册 · Builder / Reviewer 双岗评分 · AI 驾驶能力实操考核 · 易哈佛医疗
Personal cloud OS for a developer and their AI agents on a single server. One-command install on Ubuntu, then everything in the browser: a windowed desktop, isolated workspaces with VS Code, Claude Code and Codex, a store of 944 self-hosted apps, backups and updates. Access only via Tailscale, nothing exposed to the internet. Rust core, Svelte UI.
Named Tmux Manager: spawn, tile, and coordinate multiple AI coding agents (Claude, Codex, Gemini) across tmux panes with a TUI command palette
Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory