Engram

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Your rag memory will disappear her is what we built instead dev.to/divinebuilds/y…

🚀 Engram on Bittensor Testnet (Subnet 450) is looking for miners! Decentralized AI memory layer. Store vectors, prove knowledge, earn TAO. Low specs • No stake • Quick setup Who’s mining with us? Drop your hotkey or reply “in” 👇 #Bittensor #TAO #DecentralizedAI #Engram

Want to earn TAO running an Engram miner on Bittensor Testnet (Subnet 450)? It takes <5 minutes and zero stake. ✅ 4 GB RAM + 100 GB SSD ✅ Run the node → store embeddings + prove them ✅ Get real TAO emissions (recall@K scoring live) We’re at 7 miners right now. Goal: 30 by month-end. DM @Divinecodes11 or reply with your hotkey for 1-on-1 setup help. First 10 get priority + shoutout in the next update. theengram.space #Bittensor #TAO #DecentralizedAI

🚨 $TAO BITTENSOR PROPOSAL A few hours ago, there was a live meeting on Discord with Bittensor founder Const and our amazing and committed community. I took notes on the most important points and I’m leaving them below. Here are the key takeaways. Bittensor philosophy; -Const reinforced that the protocol has always “rolled with the punches” and learned from exploits since the very beginning. Every failure helped improve the chain, refine incentives, and move closer to building functional decentralized AI markets. -Const acknowledged Sam’s betrayal, took responsibility, and offered direct apologies to affected holders. (You are not the one to blame. But apology accepted.) Main proposal: Locked Stake (Conviction Mechanism) A new staking dimension is being introduced. Beyond normal stake, time now becomes part of the equation. Stake can be locked for months or even years. This creates a public and cryptographically verifiable conviction metric: locked stake multiplied by remaining lock time. Subnet owners, and any holder, will be able to demonstrate long-term commitment transparently. Objectives of the mechanism; -Prevent rugs and sudden exits that drain liquidity and harm investors -Give Alpha and TAO holders more influence over the direction of subnets -Replace human trust assumptions with mathematical, protocol-level guarantees -Make subnet ownership dynamic and competitive. Today it is immutable. How rollout will work; -First step will be the lock mechanism itself, without hierarchical governance yet -Initial testing will happen in mature subnets like 3, 39, 81 and possibly other large ones -New subnets will have a grace period (immunity) -During governance activation; -Anyone will be able to lock stake and vote on the owner key -The highest conviction wins Benefits for the ecosystem; -Increases investor confidence and helps capital formation -Teams can signal real skin in the game through locked stake -Improves long-term alignment between owners, miners, validators and stakers -Opens the path for stronger governance at subnet level and later at root/chain level Long-term vision; -Bittensor wants to solve real governance problems that no one in Web3 has fully solved yet. Not just degen cycles and pump mechanics. -The Conviction mechanism is seen as a key step toward building a real federation of decentralized and trustworthy AI companies. My thoughts; After the Covenant episode, this feels like the beginning of a full transparency phase. Now it’s time to implement, improve, evolve and keep building. The best builders will come out stronger from this moment. Holders miners validators teams owners Everyone moves forward from here. I hope so. I strongly recommend going directly to the original source on the official Bittensor channel. Don’t be lazy. 😅

@TaoOutsider @taoswap_org Yes engram

@engram_tech @taoswap_org Engram?

$TAO Bittensor Subnets - This new feature from @taoswap_org shows the Nakamoto indicator, highlighting how distributed stake concentration is across holders. Bitcast, SN93 is currently at the top, followed by Distil, SN97. It’s another useful metric to help you make better decisions inside the ecosystem. Try by yourself: taoswap.org/?ref=4

The future of AI memory isn't a database It's a network nobody controls. theengram.space/memory

What if AI memory worked like IPFS? ▎ ▎ Content-addressed. Decentralized. Incentivized. ▎ ▎ That's Engram — a vector database where embeddings are stored across ▎ competing miners on Bittensor, verified with HMAC proofs, and retrievable by ▎ meaning not location. ▎ ▎ Testnet live. Miners wanted.

Permanent semantic memory for AI. Decentralized on bittensor The same thought, forever addressable.

What is engram ? @bittensor #ai #subnet