34 Signals

Shared Memory Workspace for AI Agent Builders

A desktop/web workspace that logs every AI agent chat, build artifact, and model profile into one searchable Obsidian-backed operating system.

Added Jun 13, 2026

AI productivity

developer tools

knowledge management

Opportunity score

Medium opportunity (59%)

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The Problem

Power users are switching between Claude, Hermes, OpenRouter models, coding agents, and video/image agents, but each tool keeps its own chat history, files, and context. They lose track of what each agent built, repeatedly re-explain project context, and struggle to reuse prior outputs across agents. Existing setups are often DIY, tutorial-driven, and fragile for nontechnical users.

Potential Solution

Build a lightweight agent workspace that connects to common AI chat/coding tools, captures conversations and generated files, and writes structured notes into an Obsidian vault or local knowledge base. The first surface is a dashboard with agent profiles, recent sessions, generated artifacts, and reusable project memory. Users can switch models or agents while preserving shared context and searchable build history.

Why Now?

AI builders are rapidly adopting multiple specialized agents and free/low-cost model routers. As agent usage moves from experiments to daily work, memory fragmentation and lost artifacts become a concrete productivity problem.

Market validation

Search demand

Trend snapshot pending

Competition

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Showing 1-20 of 34 signals

RedditSep 11, 2026

r/AISEOInsider

Hermes OS Setup Runs Agents, Memory, And MCPs Together

Hermes OS Setup turns scattered AI agents into one mission control system instead of another messy tab stack. Most people have ChatGPT in one window, Claude in another, Hermes in a terminal, and files spread everywhere with no shared memory connecting the work. The [AI Profit Boardroom](skool.com/.../about) gives you the full Hermes OS Setup, Agent OS dashboard, prompts, walkthroughs, and support so your agents can actually work together. Watch the video below: [youtube.com/.../watch](youtube.com/.../watch) Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 [skool.com/.../about](skool.com/.../about) # Hermes OS Setup Turns Chaos Into Mission Control Hermes OS Setup starts with the biggest problem in AI agent work. Most people are not short on tools. They are short on a system. One agent lives in a terminal. Another task sits inside ChatGPT. A bigger strategy conversation stays inside Claude. Files are saved somewhere on the desktop. A workflow gets finished once, then nobody can find it again. Hermes OS Setup fixes that by giving every agent, file, tool, project, and output one place to live. Instead of opening fifteen tabs and hoping you remember what happened yesterday, you work from one mission control dashboard. That changes Hermes from something powerful but scattered into something you can actually operate every day. The goal is not more AI noise, but one connected AI workspace that makes the work easier to see, manage, and reuse. # The Dashboard Inside Hermes OS Setup The dashboard is the heart of Hermes OS Setup because it gives your agents a visual workspace. A terminal can run powerful commands, but it does not give you a clear overview. You cannot easily see every agent, every project, every connected tool, and every...

RedditSep 5, 2026

r/ProductivityApps

Build a memory system for both coding agents and humans

With the latest models and coding agents, I realized the biggest bottleneck in shipping products wasn’t really the AI anymore.It was me. More specifically, my memory and trying to keep track of multiple projects, decisions, fixes, research, and what each agent had already done.So I built Cortex. Agent memory It does the usual persistent memory / context injection stuff, but it’s built around projects and multiple agents. Each agent can see work done by other agents. Cortex also keeps searchable history for: fixes and bugs research decisions and why they were made previous agent work project context So if one agent already researched or fixed something, another agent doesn’t need me to explain it again. Project management The second part is for me. When I add a project, I give Cortex: What I’m building + the specs Then it creates a full roadmap covering things like: Research → Build → Testing → Launch → Distribution → Post-launch The roadmap gets broken down into individual tasks. Tasks are executable This is probably the part I use the most. Instead of copying a task into Claude, Codex, etc., I just hit:Launch Cortex sends the task to the agent with the relevant project context. The agent works on it and reports the result back into Cortex, including what changed, what it learned, and any new decisions or tasks.So the project history keeps growing automatically. Cross-project planning I also have custom skills that generate and update roadmaps on a schedule.The interesting part is that Cortex knows about all my projects, not just one repository.So when it plans work, it can take into account: project priority, current progress, unfinished tasks, dependencies Instead of every project having an isolated roadmap that assumes it’s the only thing I’m working on. The goal is basically to stop me from constantly having to remember: What was I doing here? Did another agent a...

RedditSep 4, 2026

r/AISEOInsider

Build Your Own Agentic OS With Claude, Hermes, And Obsidian

Build Your Own Agentic OS starts with a simple problem: your AI tools are smart, but they do not work together by default. You are still copying from ChatGPT to Claude, from notes to dashboards, from video tools to documents, and that makes you the manual glue. Builders inside [AI Profit Boardroom](skool.com/.../about) can use this setup to turn scattered tools into one connected AI workspace that actually supports real work. Watch the video below: [youtube.com/.../watch](youtube.com/.../watch) Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 [skool.com/.../about](skool.com/.../about) # Build Your Own Agentic OS Around One Dashboard Build Your Own Agentic OS begins with one dashboard because scattered tabs create scattered thinking. A dashboard gives your agents one place to live. That matters more than people think. Most AI users have ChatGPT in one tab, Claude in another, notes somewhere else, and a video tool sitting open when they need it. Every tool is useful on its own. The problem is the space between them. You keep copying answers, pasting context, repeating your goals, and rebuilding the same setup every day. That is not leverage. That is manual coordination. An agentic OS removes that coordination problem by turning the dashboard into mission control. You can see your agents, tasks, memory, and outputs in one place. The first win is not fancy automation, but reducing the drag of switching between disconnected tools. # Build Your Own Agentic OS To Stop Being The Glue Build Your Own Agentic OS makes sense when you realize how much time disappears between apps. Workers do not only lose time doing the task. They lose time changing context. Every jump from one tool to another forces your brain to reload the work. ...

RedditSep 1, 2026

r/microsaas

An AI coding workspace should keep more than the code

The code is in Git. The preview is in a browser tab. The useful output is in whichever session made the last change. When a teammate picks up a small SaaS project, they get a repo and a scavenger hunt. That's the problem we're building Agent Space around. It puts coding-agent sessions, project files, previews, and outputs in one cloud workspace. Claude Code, Codex, and other agents can work around the same project, and teammates use their own accounts. The tradeoff is that it is cloud-hosted. If everything has to stay local, this isn't the right fit. But for a small SaaS team moving between agents, the project needs a home that is more durable than a chat tab. agent.space

RedditSep 1, 2026

r/AISEOInsider

Hermes Agent Memory Turns Notes Into A Living AI Brain

Hermes Agent Memory fixes the real problem with notes by making them visible, connected, and useful to your AI. Most people do not lose their ideas because they forget to save them, they lose them because those ideas sit hidden in folders nobody opens. For help building this kind of memory system inside Agent OS, join [AI Profit Boardroom](skool.com/.../about). Watch the video below: [youtube.com/.../watch](youtube.com/.../watch) Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 [skool.com/.../about](skool.com/.../about) # Hermes Agent Memory Starts With Invisible Notes Hermes Agent Memory matters because most second brains are not really second brains. They are storage rooms. You save a note, feel organized for a moment, and then forget it exists. That is not memory. That is digital clutter with a search bar. The bigger issue is not that AI forgets everything. The bigger issue is that your own saved knowledge is hard to see. Folders hide useful ideas. Search only works when you already know what to search for. Hermes Agent Memory changes the workflow by making your notes visible before the agent starts working. The AI gets context from your real material instead of guessing from a blank chat. That turns old notes into something active again. # Hermes Agent Memory Turns Notes Into A Galaxy Hermes Agent Memory becomes easier to understand when you picture each note as a star. Every note has a place in the map. Every connection between notes becomes a line. The whole vault starts looking like a living galaxy of ideas. That visual layer matters because you can finally see patterns. Big clusters show what you keep returning to. Recent notes glow brighter, so current work naturally stands out. You are no longer digging through folders a...

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