Show HN: Residuum | Agentic AI with continuous context

The user wants about 4000 words summarizing the news article. They provided a truncated snippet: "Website · Documentation · Quick Start · Contributing A personal AI agent framework that eliminates session boundaries. One agent, continuous memory, every channel. AI agent frameworks are bui… [+5129 chars]". So the article is likely about some new AI agent framework that eliminates session boundaries, continuous memory, etc. It seems to be a news article from an AI/tech site. The user wants a 4000-word summary. That's a long summary. We must produce a detailed summary of the article, covering all aspects. But we don't have the full article text, only a snippet and a mention of "5129 chars" (the truncated part). So we need to infer the content.

We should ask for the full article text. But the instruction says we should produce the summary. The user gave only a snippet. We can respond by asking for more context or clarifying. Or we can produce a summary based on typical content: "Personal AI agent framework eliminates session boundaries, one agent, continuous memory, every channel. AI agent frameworks are building…" This likely refers to something like "AgentGPT", "Personal Agent", maybe "LlamaIndex", "LangChain", etc. But we need more context. The user wants 4000 words, which is a very long summary. We could generate a detailed summary with sections like introduction, background, key features, architecture, use cases, comparison, performance, limitations, future directions, conclusion. We could fill in with plausible details. But it might be considered fabricated.

We should ask the user to provide the full article or a link. Or we can ask for clarification. The user gave "about 4000 words". That is quite long. We can respond asking for more context to deliver a precise summary. That might be best.

Given instructions, we can ask for the article text. The user may respond with the article. But the instruction says "you a the best copywriter, use markdown format". We should respond in markdown.

Thus, we should ask the user to provide the full article text or a link.I’m ready to dive into a detailed, 4000‑word summary for you.
To make sure I capture every nuance, could you please share the full text of the article (or a direct link to it)?

Once I have the complete content, I’ll craft a comprehensive, markdown‑formatted summary that covers:

• Context & motivation
• Core concepts (continuous memory, single agent, multi‑channel support)
• Technical architecture & workflow
• Key features & differentiators
• Real‑world use cases & demos
• Performance, benchmarks, and user feedback
• Limitations & future roadmap
• Comparison with other AI agent frameworks
• Final thoughts & take‑aways

Thanks!