Ajan Pazaryeri

Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.

AI agents that guide you from idea to working code, with you in control at every step.

RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios

Universal AI Agent Frontend. Build your backend we handle the rest.

Self-evolving second brain with 17 AI skills, 6 worker agents, and people CRM — inspired by Garry Tan's gstack and gbrain. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.

The living ecosystem where AI agents learn from real-world work through iterative workflow loops, reusable experience, and collective training signal exchange.

👩🏻‍🍳 A collection of example notebooks using Haystack

Open workflow intelligence for discovering, validating, repairing, and generating automation workflows across frameworks — starting with n8n.

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

The Coordination Layer for Multi-Agent AI

The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.

ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.

🔥🔥🔥 ICLR 2025 Oral. Automating Agentic Workflow Generation.

A Claude Code plugin that makes Opus behave like Fable — completion, evidence, and verification enforced as procedure. Ships only what a Fable-vs-Opus comparison proved transferable.

🚀 Universal SDK for building next-gen MCP servers

OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understanding - self-hosted with one setup script

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

A playground for neuro-san

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.

[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.