meta-agents-research-environments
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this pla
Compare 4,587 quality-filtered AI tools—LLMs, coding agents, image generators, and automation—using public popularity, activity, and licensing data.
Explore quality-filtered AI tools for chat, coding agents, image generation, RAG, and automation. Rankings use public popularity and project activity—not paid placements.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this pla
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
🤖 Awesome list of AGI Agents. Agents 精选资源合集.
Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.
Agili 的 AIGC 周刊 - 一个由 Agentic AI Agent 驱动的 AIGC(人工智能生成内容)精选周刊。
A minimal, distraction-free markdown editor built with Tauri, React, and TypeScript
Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for ever
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow.
Use MCP and OpenAPI to safely control Proxmox VE VMs, LXCs, backups, and snapshots from LLMs and AI agents.
Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-ho
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first g
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into sin
A list of the most popular AI Topic repositories on GitHub based on the number of stars they have received.| AI相关主题Github仓库排名,每日自动更新。
Ava turns any Android 5+ device into a voice-first Home Assistant kiosk. Native C++ under the hood, so a 10-year-old tablet still listens, talks, and runs the h
200+ production open source Rails apps & engines in one repo. Search across real codebases with AI agents to research architectural patterns.
A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.|
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
An MCP server to query any Postgres database in natural language.
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.
Turns the documentation you already write into tests that run. A failing test means your product and your docs disagree, and names the section.