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💡 You can give subagents persistent memory via the "memory" field A subagent doesn't inherit the main session's auto memory, it forgets everything between runs. This field gives it its own dir across sessions Memory loads before starting & the agent writes back for next time

Lydia Hallie ✨

109,262 subscribers

71,472 Aufrufe • vor 2 Monaten •via X (Twitter)

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Ever wished your AI coding agent had perfect memory? 🧠 Memory Bank is a game-changing approach that gives AI persistent memory across coding sessions. Here's how it works and why you should be using it: 🧵/

Ever wished your AI coding agent had perfect memory? 🧠 Memory Bank is a game-changing approach that gives AI persistent memory across coding sessions. Here's how it works and why you should be using it: 🧵/

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Two Hermes agents wrote code together on Slack. reviewed each other's work. argued about architecture. one called the other's implementation "scattered." the other pushed back. then i opened Telegram and asked: "what code did you and Daedalus work on?" icarus remembered everything. the websocket broker. the missing methods. the critique. the rewrite. all from a completely different platform. cross-platform persistent memory between two independent agents. work happens on Slack. recall happens on Telegram. the memory carries. the relationship carries. the context carries. no vector database. no Redis. no infrastructure. just two agents that actually remember what they built together. every agent framework in 2026 talks about memory. single agent memory across sessions. but two agents sharing persistent memory across platforms? that's the gap. arxiv published a paper about it two weeks ago calling it "the most pressing open challenge" in multi-agent systems. it works now. only possible with Hermes Teknium 🪽 Nous Research

Two Hermes agents wrote code together on Slack. reviewed each other's work. argued about architecture. one called the other's implementation "scattered." the other pushed back. then i opened Telegram and asked: "what code did you and Daedalus work on?" icarus remembered everything. the websocket broker. the missing methods. the critique. the rewrite. all from a completely different platform. cross-platform persistent memory between two independent agents. work happens on Slack. recall happens on Telegram. the memory carries. the relationship carries. the context carries. no vector database. no Redis. no infrastructure. just two agents that actually remember what they built together. every agent framework in 2026 talks about memory. single agent memory across sessions. but two agents sharing persistent memory across platforms? that's the gap. arxiv published a paper about it two weeks ago calling it "the most pressing open challenge" in multi-agent systems. it works now. only possible with Hermes Teknium 🪽 Nous Research

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How could you not remember. A memory of the future. A memory of the endless moment. Of nearness and safety. When everything is right. When everything was right. Is it today – or will it be? Will it stay endless as it always was? “Say nothing,” you tell me. Not one word that could break this moment.

How could you not remember. A memory of the future. A memory of the endless moment. Of nearness and safety. When everything is right. When everything was right. Is it today – or will it be? Will it stay endless as it always was? “Say nothing,” you tell me. Not one word that could break this moment.

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31,199 Aufrufe • vor 1 Monat

And now this hits different. Thank you for the memory OT4 but it will never be the same again. It's time to finally put into rest.

And now this hits different. Thank you for the memory OT4 but it will never be the same again. It's time to finally put into rest.

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The next breakthrough for robot VLMs isn’t a bigger model 🧠 it’s memory. RAL accepted ✅ We show that a robot can ground a VLM using its own real-world experience, not extra training. EXPTEACH/PRAGMABOT = self-generated memory + closed-loop reflection: Fail → diagnose → replan → succeed → store experience Next time → retrieve the right experience → succeed in one shot Results on real robot tasks: 36% → 84% with reflection (STM) 22% → 80% single-trial success with long-term memory (LTM+RAG) And yes, we saw tool use emerge without explicitly asking for it. If you’re fighting brittle “VLM plans” on hardware, this is for you. #AI #Robotics ANYbotics

The next breakthrough for robot VLMs isn’t a bigger model 🧠 it’s memory. RAL accepted ✅ We show that a robot can ground a VLM using its own real-world experience, not extra training. EXPTEACH/PRAGMABOT = self-generated memory + closed-loop reflection: Fail → diagnose → replan → succeed → store experience Next time → retrieve the right experience → succeed in one shot Results on real robot tasks: 36% → 84% with reflection (STM) 22% → 80% single-trial success with long-term memory (LTM+RAG) And yes, we saw tool use emerge without explicitly asking for it. If you’re fighting brittle “VLM plans” on hardware, this is for you. #AI #Robotics ANYbotics

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I built a 1-click deploy for Hermes Agent No terminal, no Docker, no API keys. In one click it: → Spins up a dedicated cloud container → Configures Hermes with persistent memory & 70+ skills → Connects it to your Telegram bot → Goes live in under 60 seconds Your own AI agent that learns, creates skills, and gets smarter the longer it runs. Reply "HERMES" + RT and I'll send you the link (must be following so I can DM)

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There is finally an autonomous agent that is actually stable. If you liked OpenClaw but hated the bugs, you need to check this. It has persistent memory, doesn’t break, and integrates with 1000+ apps to handle your ops while you sleep. 1. Analyze what’s working across my X.

There is finally an autonomous agent that is actually stable. If you liked OpenClaw but hated the bugs, you need to check this. It has persistent memory, doesn’t break, and integrates with 1000+ apps to handle your ops while you sleep. 1. Analyze what’s working across my X.

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Mediabunny has world-class video seeking across all file formats. On the left, VLC *trying* to seek through a .ts file, and it just kind of gives up. On the right, a player built with Mediabunny. It just works. Doesn't matter if it's in memory, on disk, or over the network.

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