Agents
A2A, MCP, LangGraph, and multi-agent frameworks
1.
Agentic Frameworks Overview
WIP
High-level overview of multi-agent and code-centric AI frameworks
2.
Tools, Skills, & Connectors
WIP
Function calling, skill libraries, plugins, and data connectors for AI Agents
3.
Agent Memory
WIP
Types of agent memory (Procedural, Semantic, Episodic) and strategies for updating them
4.
Memory & Context Management
WIP
Managing short/long-term memory and context windows in agents, including Mem0 and MemU frameworks
5.
Context Engineering & Filesystems
WIP
How deep agents use filesystems as scratchpads for dynamic context engineering
6.
MCP (Model Context Protocol)
WIP
Anthropic's Model Context Protocol for standardizing agent tool-use and data access
7.
Agentic RAG Frameworks
WIP
Agentic RAG, self-reflection, iterative retrieval, and graph-based frameworks (LightRAG, RAG-Anything)
8.
Harness Engineering & Observability
WIP
Evaluation harnesses, testing, and observability frameworks for agents (ART, Opik, AutoEvals)
9.
LangGraph
WIP
Graph-based framework for building stateful multi-agent applications
10.
Agent Sandboxing
WIP
Techniques and tools for safely executing agent-generated code
11.
Agent-to-Agent (A2A)
WIP
Agent-to-Agent communication protocols
12.
The Ralph Wiggum Loop
WIP
Understanding infinite failure loops and agent stagnation
13.
Claw (Open / Nemo)
WIP
Open Claw and Nemo Claw frameworks/models for tool usage
14.
Lightweight Agents (nanobot)
WIP
Minimalist, open-source AI agents (nanobot) for tools, chats, and workflows
15.
Hermes Agents
WIP
Nous Hermes models and their agentic capabilities
16.
Agent Lightning
WIP
Microsoft's extensible framework for RL-based training of any AI agent