I paused my assistant's contract yesterday and went all-in on AI agents. It didn't go how I expected

Yesterday, I paused the Upwork contract with my assistant from the Philippines and replaced him with AI agents: research, content, outreach, and ops. I thought this would be the easy part. I was building with Claude for months. I know how to prompt. But up until now, it was mostly hand-holding for it to work. Sessions needed re-explaining. Every agent needed a new context. I was writing the same instructions in five different places. I was correcting the same mistakes I'd corrected the week before. I tried bigger system prompts. Docs I'd paste in at the start of each session. The problem was that I didn't have an easy way to communicate with the agents when i needed to update things. Eventually, I just built the thing I kept wishing existed. A shared memory layer that every session reads before doing anything. Decisions I've already made, context from other chats on other AI tools, locked, and ranked by trust. No more re-explaining. It's called Orbitagents xyz. One MCP command and it's connected, in under 2 minutes. Now, every Claude session, Code run, and scheduled agent starts with the same ground truth in addition to an evolving updated state of truth. The best part is now how I manage them. I have a live agent builder and org chart, which lets me plug and play data/files/outputs to build my AI agents, and relevant data gets actually auto-added to each agent as well. Still early, but the hand-holding is mostly gone, and for the first time, it actually feels like I have an AI team working for me and not a to-do list. For the AI builders, you must have felt the same struggle as me? Especially where each AI agent and tools doens't retain context from the other?