beamnxw ./
- THIS GIF SHOWS THE ARCHITECTURE THAT TURNS YOUR STATELESS AI AGENT INTO AN AI ENTERPRISE MIND Agent capability = model + harness + memory + environment + evolution Memory types ➜ Session (one conversation, compacted) ➜ Files (MEMORY.md, episodic notes) ➜ Semantic (embeddings + graph index) Hierarchy ➜ Agent LTM (private, preferences) ➜ Shared LTM (team/hive, tribal knowledge) ➜ Client (agent-owned store) ➜ Server (governance, audit, versions) ➜ SoT stays read-only Inference loop ➜ Assemble (his…
- New useful skill that tracks informative X accounts and collects key AI news, articles, projects and other important materials Works with Codex, Claude, Hermes, OpenClaw and others 3 steps: 1\ Set up X MCP - X API: https://docs.x.com/tools/mcp#x-mcp-%E2%80%94-x-api 2\ Install the skill from here: https://github.com/dair-ai/dair-academy-plugins/tree/main/plugins/x-agent-intelligence 3\ Run this prompt: "Use the x-agent-intelligence skill to create an autonomous local feed based on my X MCP conne…
- Agent Harness Engineering vs. Loop Engineering vs. Graph Engineering
- This paper is f*cking brilliant A computer science paper proves that graph engineering is the missing layer for production AI systems The result: developers build stateful workflows using typed state, explicit nodes, conditional routing edges, and durable checkpointers The crazy part is how graph engineering strips control flow completely away from prompt text Graph nodes execute deterministic tools, edge functions evaluate execution state, and checkpointers preserve workflow memory across serv…
- AgenticRAG: Letting LLMs Hunt for Evidence. Here's the Full Agentic Upgrade
THIS GIF SHOWS THE ARCHITECTURE THAT TURNS YOUR STATELESS AI AGENT INTO AN AI ENTERPRISE MIND Agent capability = model + harness + memory + environment + evolution Memory types ➜ Session (one conversation, compacted) ➜ Files (MEMORY.md, episodic notes) ➜ Semantic (embeddings + graph index) Hierarchy ➜ Agent LTM (private, preferences) ➜ Shared LTM (team/hive, tribal knowledge) ➜ Client (agent-owned store) ➜ Server (governance, audit, versions) ➜ SoT stays read-only Inference loop ➜ Assemble (his…
New useful skill that tracks informative X accounts and collects key AI news, articles, projects and other important materials Works with Codex, Claude, Hermes, OpenClaw and others 3 steps: 1\ Set up X MCP - X API: https://docs.x.com/tools/mcp#x-mcp-%E2%80%94-x-api 2\ Install the skill from here: https://github.com/dair-ai/dair-academy-plugins/tree/main/plugins/x-agent-intelligence 3\ Run this prompt: "Use the x-agent-intelligence skill to create an autonomous local feed based on my X MCP conne…
Agent Harness Engineering vs. Loop Engineering vs. Graph Engineering
This paper is f*cking brilliant A computer science paper proves that graph engineering is the missing layer for production AI systems The result: developers build stateful workflows using typed state, explicit nodes, conditional routing edges, and durable checkpointers The crazy part is how graph engineering strips control flow completely away from prompt text Graph nodes execute deterministic tools, edge functions evaluate execution state, and checkpointers preserve workflow memory across serv…
AgenticRAG: Letting LLMs Hunt for Evidence. Here's the Full Agentic Upgrade