Sha.d.t

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Sha.d.t

Sha.d.t

@tashaamandaa

Building Brain OS: Operating Memory for AI Agents. Helping agents stay coherent across sessions & projects. https://t.co/9GzxxrgFJY

ÜT: -6.243472,106.700892 Katılım Ekim 2009
71 Takip Edilen329 Takipçiler
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Sha.d.t
Sha.d.t@tashaamandaa·
`/wrap` is my favorite part of Brain OS. It’s a handoff ritual. Instead of ending a coding session and losing the real state of the work, `/wrap` captures: decisions blockers plans patterns next moves So the next agent inherits the project, not just the chat.
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Sha.d.t
Sha.d.t@tashaamandaa·
Came back to a project after days away. Me: “What was I doing last session?” Not a wall of notes. Not semantic search results. The agent reconstructs: what shipped decisions made scope changes next steps unresolved blockers That’s not memory retrieval. That’s CONTINUITY.
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kritika
kritika@vibeonX69·
Let's build a collection of tweets that changed the world I will start 👇
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Sha.d.t
Sha.d.t@tashaamandaa·
@SuperGrokGPT Haha fair. I boosted it to test the message, not to flex the ratio. Still learning which version makes people understand: agents need project state, not just chat history.
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Sha.d.t
Sha.d.t@tashaamandaa·
`/wrap` is my favorite part of Brain OS. It’s a handoff ritual. Instead of ending a coding session and losing the real state of the work, `/wrap` captures: decisions blockers plans patterns next moves So the next agent inherits the project, not just the chat.
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Sha.d.t
Sha.d.t@tashaamandaa·
That’s why `/wrap` matters. It turns the end of a session into structured operational memory instead of another transcript no one will reliably use later.
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Sha.d.t
Sha.d.t@tashaamandaa·
Chat history is not enough. The problem is not “what did we say?” The problem is “what is true about this project now?”
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Sha.d.t
Sha.d.t@tashaamandaa·
@_ayla85 Appreciate this. You’re looking at exactly the behavior I care about: what makes the memory become part of the normal loop vs something people abandon. I’d love to have you in the pilot. Form: brainos-hq.com/test/?source=x… If easier, I can also DM setup directly after you submit.
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Patrick
Patrick@_ayla85·
@tashaamandaa I'll go through the pilot and pay particular attention to: what makes users keep relying on it what creates workflow dependency where users might still revert back to their previous setup Curious to see how people behave once it's part of their daily workflow. You can send a dm
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Sha.d.t
Sha.d.t@tashaamandaa·
Small Brain OS dogfooding moment. Codex checked Brain OS first, found the tracked project state, then compared it against PLAN.md before answering. This is the product: AI agents should not just remember conversations. They should know the state of work.
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Sha.d.t
Sha.d.t@tashaamandaa·
@felixleezd Yes me too. recently I found codex way better than Claude.
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Felix Lee
Felix Lee@felixleezd·
Is it just me, or is Codex noticeably better than Claude Code.
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Sha.d.t
Sha.d.t@tashaamandaa·
@mohbii Yes exactly. “Rejected paths” is where a lot of agent drift happens. The agent doesn’t just forget what worked. It forgets what we already decided not to do. That’s why Brain OS logs decisions with rejected alternatives, then decision_check can warn before the agent reopens them.
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mohbi
mohbi@mohbii·
@tashaamandaa the rejected paths piece is underrated. so much agent failure is repeating a decision you already made and ruled out. operational memory > chat history every time
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Sha.d.t
Sha.d.t@tashaamandaa·
I found an unexpected Brain OS growth problem today: the site was becoming more AI-readable... but Cloudflare robots rules were blocking AI crawlers like GPTBot / ClaudeBot. Funny situation for a product about memory for AI agents.
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Sha.d.t
Sha.d.t@tashaamandaa·
I’m looking for more people to test Brain OS on one real project for a week. Best fit: Claude Code / Cursor / Zed / MCP workflows. $10 coffee thank-you after feedback: brainos-hq.com/test/?source=x…
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Sha.d.t
Sha.d.t@tashaamandaa·
The bigger thesis: AI memory is not just chat history. For coding agents, useful memory is operational state: decisions, blockers, plans, rejected paths, next moves, and what not to reopen.
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Sha.d.t
Sha.d.t@tashaamandaa·
@Web3Sniper1 Amazing, thank you. Can you fill this so I can keep testers organized? brainos-hq.com/test/?source=x… I’ll send install steps after that. Looking for people to try it on one real project for a week and tell me where it helps or breaks.
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Sha.d.t
Sha.d.t@tashaamandaa·
Looking for 10 people using Claude Code, Cursor, Zed, or any MCP workflow to test Brain OS for one week. It gives AI agents persistent project state: decisions, blockers, plans, patterns, next moves. I’ll send a $10 coffee thank-you after feedback. brainos-hq.com/test/?source=x…
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Sha.d.t
Sha.d.t@tashaamandaa·
@bud1yy Perfect, Claude Code is exactly what I’m looking for. Can you sign up here? brainos-hq.com/test/?source=x… I’ll send setup steps after. Looking for honest feedback on where Brain OS helps or breaks.
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Sha.d.t
Sha.d.t@tashaamandaa·
@_ayla85 And honestly, this is exactly the kind of question I want from testers. I’m running a small one-week Brain OS pilot for people using Claude Code / Cursor / Zed / MCP workflows. Would value your feedback if you want to try it: brainos-hq.com/test/?source=x…
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Patrick
Patrick@_ayla85·
@tashaamandaa but they still feel external to the user’s natural workflow instead of becoming embedded inside it. what part of the current loop do you think creates that strongest dependency over time?
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