m3taversal
00119feb9e
- What: Source archives for tweets by Karpathy, Teknium, Emollick, Gauri Gupta, Alex Prompter, Jerry Liu, Sarah Wooders, and others on LLM knowledge bases, agent harnesses, self-improving systems, and memory architecture - Why: Persisting raw source material for pipeline extraction. 4 sources already processed by Rio's batch (karpathy-gist, kevin-gu, mintlify, hyunjin-kim) were excluded as duplicates. - Status: all unprocessed, ready for overnight extraction pipeline Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
24 lines
986 B
Markdown
24 lines
986 B
Markdown
---
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type: source
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title: "Hermes Agent v0.7 Memory Deep Dive"
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author: "Teknium (@Teknium)"
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url: "https://x.com/Teknium/status/2040151297991770435"
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date: 2026-04-03
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domain: ai-alignment
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format: tweet
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status: unprocessed
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tags: [hermes-agent, nous-research, memory, interfaces, architecture]
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---
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## Content
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Deeper dive into some of the updates in v0.7. Memory: We have begun transitioning each of the systems in Hermes Agent to work through defined interfaces so that the core code is more maintainable, and more providers for everything can be supported. We started with memory:
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375 likes, 36 replies. Includes attached image of memory architecture. Quote of NousResearch announcement.
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## Key Points
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- Hermes Agent v0.7 transitions systems to work through defined interfaces
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- Interface-based architecture improves maintainability and extensibility
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- Memory system was the first to be refactored to this interface pattern
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- Enables support for multiple providers per system component
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