Ajan Pazaryeri

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

The easiest way to use Agentic RAG in any enterprise

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.

AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history

Harness LLMs with Multi-Agent Programming

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

[NeurIPS 2025] Open-source Multi-agent Poster Generation from Papers

A curated list of awesome skills, tools, integrations, and resources for Hermes Agent by Nous Research

Easiest and laziest way for building multi-agent LLMs applications.

"Paper2Slides: From Paper to Presentation in One Click"

Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。