Timeline

Yahoo, Android user, we got his device ID, we could see...

Speaker 1: Oh yeah, oh yeah. Speaker 2: Mitchell. Speaker 1: And this is email address, Sean Mitchell 123 at Gmail. Speaker 2: And his gaming one too, Sly Guy. Speaker 1: [Laughs] That's his gaming... Speaker 2: Android user, we got him! Speaker 1: Got him! Speaker 2: Yo, we gotta run ads...

Speaker 1: There's your—there's your boy. Your boy Sean Mitchell. You know him? Sean Mitchell. Speaker 2: Yeah, we got him. Speaker 1: Let's see. Is this his email address? SeanMitchell123@gmail. Sly guy. Sly guy.

[Web Browser Content] Supermemory Console Connectors Connect external data sources to automatically import content ANALYTICS User Insights DATA Connectors Import DEVELOPER API Keys Agents Plugins ORGANIZATION Team Settings Available Connectors: - Google Drive (Pro plan) - Notion (Pro plan) - OneDrive (Pro plan) - Gmail (Scale plan) - GitHub (Scale plan) - Web Crawler (Scale plan) - Amazon S3 (Scale plan)

[Web Browser Content] Model Catalog - LM Studio New & noteworthy local models you can run on your own computer. Model capabilities Nemotron 3 Omni (30B) NVIDIA Nemotron 3 Nano Omni is an open multimodal model with highest efficiency that powers sub-agents to complete tasks faster across vision, audio, and language. Qwen3.6 (27B, 35B) - Updated 16 days ago Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. Gemma 4 (5.1B, 7.9B, 26B, 31B) - Updated 16 days ago Gemma 4 is Google's most capable family of open models, built from Gemini 3 research. Supports vision input and available in multiple sizes for on-device deployment. Nemotron 3 Super (120B) - Updated 1 month ago

[Web Browser Content] Cookbook | Supermemory SOP We're working on more comprehensive recipes. Have a suggestion? Let us know! Coming Soon: - Complete examples using Vercel AI SDK with Supermemory tools - AI SDK Integration - Build a support system that remembers customer history and provides personalized help: Customer Support Bot - Create a chatbot that answers questions from your documents with citations: Document Q&A System - Contributing Recipes - Personal AI Assistant: Build an AI assistant that remembers user preferences and context across conversations - Meeting Intelligence - Code Documentation Bot - Learning Platform Available Recipes: - AI SDK Integration - Perplexity with memory: details, best practices, and common patterns. - Customer Support Bot - Document Q&A System - Personal AI Assistant - Customer Support Bot - Chat with Google Drive The Supermemory Cookbook provides complete, production-ready examples that show how to build real applications with Supermemory. Each recipe includes full implementation examples and recipes for building with Supermemory.

the FBI files, right? Because we all know you're a fed, right? So, that's how you have this data.

Speaker 1: That's how you have this data. He be trying to tell me some more bullshit and I be like, "Bro, just admit you tapping right into the fucking CIA database, like, get the fuck out of here with all that extra shit." Speaker 2: It's your boy, it's your boy Sean Mitchell, you know him.

[Web Browser Content] Supermemory SOP Long-term memory infrastructure for AI agents. Operating procedures, integration recipes, and complete API reference — mirrored from the official Supermemory documentation. Core Concepts: How Supermemory thinks — graph memory, content types, filtering, and the difference between memory and traditional RAG. Memory API: Add, search, update, and forget. The full lifecycle of memories — text, files, conversations, and user profiles. Integrations: 22 integrations spanning AI SDK, LangChain, Mastra, OpenAI, Vercel AI, CrewAI, Pipecat, Letta, and more.

[Web Browser Content] Update container tag settings https://supermemory-sop-docs.vercel.app/memory-api/memory-api.html Container Tags • Delete container tag • Get container tag settings • Merge container tags Sync connection List documents List connections • Get connection (by_i.d) • Get connection (by_provider) Connections Configure connection Create connection Delete connection Delete connection by ID Fetch resources Connections Container Tags Content Management Documents Ingest Profiles Recall Search API Reference Complete REST API reference. All endpoints accept JSON; authenticate with a Bearer token. 36 pages in this section.

[Web Browser Content] OneTab Model Catalog supermemory-sop-docs.vercel.app LM Studio Supermemory Console Supermemory SOP Ask Gemini Work

[Command-Line Output] branch 'main' set up to track 'origin/main'. To https://github.com/mmerlin023/supermemory-sop-docs.git * [new branch] main -> main [honcho] post-tool-use captured: Git push: success Pushed. Now setting up Vercel deployment. Local settings detected in vercel.json: - Build Command: npm run build Uploading (13.5MB/13.5MB) Inspect: https://vercel.com/mmerlin023s-projects/supermemory-sop-docs/HUY2uVZoKbZ2vahcsMXgFpsTrK4H Production: https://supermemory-sop-docs-6nx1utd3d-mmerlin023s-projects.vercel.app Deployed to https://supermemory-sop-docs.vercel.app. Now setting up RAG vector store and Vercel env vars.

Speaker 1: I don't have his device ID, but I could probably find it, you know, if I got his address and I can query our identity graph and find him. But it's pretty cool tech. It's creepy. Speaker 2: Oh, man. This is all directly from the FBI files, right? 'Cause we all know you're a fed.

Speaker 1: It is. Speaker 2: [Laughter] [Coughing] So it was device ID. But I could probably find it, you know, if I got his address and I can query our identity graph and maybe find him. But it's, it's pretty cool tech. It's creepy. Speaker 1: So, alright. Speaker 2: This is all directly from...

[Command-Line Output] ByteRover CLI installer Full report: D:\ClaudeDev\vault-audit\duplicate-groups.csv (177,879 duplicate groups) Recommended strategy: 1. Keep Vaults as canonical 2. Keep MV-Media standalone 3. Delete duplicates from the other 3 vaults 4. Estimated reclaim: 150-200 GB Agent (Phase 1 - Deep research) Update( 00_GITHUB\nvsp-.py ) Bash(cd "D:/ClaudeDev/00_GITHUB/nvsp-rebuild/content/research" && python openai_search.py) Claude Code v24.7.0 Session: mike-claudedev Task: Orchestrate project rebuild for North Valley Solar.

Speaker 1: I'm curious if the address is right. Anybody know his address? Speaker 2: Mhm. Speaker 1: Probably in his email. Let's see, 1460. We probably validated his email. That's all her information. So maybe the house number... Andrew is very Kato-ish. Speaker 2: Yeah. Speaker 1: [Laughter] He's...

Speaker 1: I'm curious if the address is right. Anybody know his address? Speaker 2: No. Speaker 1: And we could probably get his email. It's line 460. We could probably validate his email. Oh, it's all... all her... her information. So maybe the house is under her. Android. That's very Kato-ish. To the iOS.

I think I got Ted Cubeda—no, I didn't get him. But Brian Kato, I didn't get, you know, you'll—I'll show you how the—it's off here. I know his wife's name's Colleen, but here's Colleen, look, they—75 years old, that's wrong. She's obviously not 75. But—

I think I got Ted Kubaitis. No, I didn't. Funny, funny guy over here, boy. But Brian Kato, I didn't get, you know, I'll show you how the... it's off here. I know his wife's name is Colleen, but here's Colleen, look, they... 75 years old, that's wrong. She's obviously not 75.

Speaker 1: I got Brian Kato. Speaker 2: Whoa, Brian, stop showing everybody this information, Brian. Come on, man. This is that... here's the alien side of our partner, right? No human emotion. Speaker 1: [laughs] Yo, that shit is funny.

Speaker 1: Millions of credits. Omega credits. Speaker 2: Don't open it. Speaker 3: Here's Brian Kato. Speaker 4: I got Brian Kato. This is his wife.

Screen: (D File Edit View Window c Compare memory providers Help Working for 3m 48s That CLI is for MemoryBench, not normal Supermemory integration. The useful move here is a small benchmark run: Supermemory alone first, then Supermemory vs Mem0 only if we have a Mem0 key still active. Searched web 2 times MemoryBench needs Bun and provider keys. I'm checking whether Bun and an existing MemoryBench checkout are already on this machine before deciding whether to install anything. @ Ran 4 commands There's already a MemoryBench checkout at D: , and Bun is installed. I'm checking its current state and supported models so we can run the smallest useful benchmark without guessing. @ Ran 26 commands I'm not running the Mem0 provider yet because this MemoryBench implementation calls updateProject() on Mem

Speaker 1: Believe me. Speaker 2: I believe you. Speaker 1: If you see a big box that says millions of credits, omega credits, don't open it. Speaker 2: Yes. Speaker 1: No.

Speaker 1: Click on this link for me real quick. Speaker 2: I want to send—I want to send him a present. Merlino. You are going to have a present for him. Speaker 1: [laughter] Merlino. Speaker 2: If you get a box—if you see a big box—if you see a big box that says...

[Editor Content] StealthCode Shareholder Meeting: Weekly Check-in Participants: Brian Hong, Gregory Shared Content: Real Estate Property Data Spreadsheet - Addresses, Cities, States, Zip Codes - Demographic Data: Gender, Age - Property Type: Single Family, Multi Family Dwelling/Apartment - Ownership Status: Home Owner, Renter - Property Values and Utility Types (Gas/Electric) Chat: Brian Hong (1:12 PM): https://claude.ai/public/artifacts/6296322d-dd1d-4b43-ac93-6ae5ade1bc87 Gregory (1:28 PM): SEO PowerSuite, Off Page SEO, Local SEO

Speaker 1: I'll pay you $2,000 to send me [unclear]. Speaker 1: I want to send me [unclear]. Speaker 2: I can tell everyone. Just click on this link. Speaker 1: I want to send me [unclear].

[Editor Content] Compare memory providers Working for 2m 48s That CLI is for MemoryBench, not normal Supermemory integration. The useful move here is a small benchmark run: Supermemory alone first, then Supermemory vs Mem0 only if we have a Mem0 key still active. Searched web 2 times MemoryBench needs Bun and provider keys. I'm checking whether Bun and an existing MemoryBench checkout are already on this machine before deciding whether to install anything. Ran 4 commands There's already a MemoryBench checkout at D: , and Bun is installed. I'm checking its current state and supported models so we can run the smallest useful benchmark without guessing. Ran 26 commands I'm not running the Mem0 provider yet because this MemoryBench implementation calls updateProject() on Mem0 and can change project-level memory instructions. I'll run a Supermemory-only 3-question smoke benchmark first; that proves the path without touching Mem0 config. Running bun run src/index.ts run -p supermemory -b convomem -j gpt-40 -m gpt-40-mini -1 3 Branch details Changes Git actions Create pull request Artifacts openai-migration.md Sources Web search: https://github.com/supermemorvai/memorvbench Now install byterover - https://byterover.dev/merlino/merlino.git

Speaker 1: Incognito. Speaker 2: But I can pull you guys, just, you know, I can... Speaker 3: Take it easy, Brian. You don't need to pull anything. Let's focus on—let's focus on stealth code at the moment, alright? Speaker 4: ...while we have time. Speaker 3: We gotta—we gotta pick a market.

Speaker 1: Nope, no Merlino. Don't have... Speaker 2: They ain't got you either, Mike B. Speaker 1: Stay incognito. But I could pull you guys, just, you know, I could look up your phone numbers. Speaker 2: Yeah, yeah, it's okay. I believe you. I believe you. Yeah.

Speaker 1: You got a Benz, you got a couple Benzes in there in the garage. Speaker 2: Well we got VIN numbers and all that, son. Speaker 1: Carfax, Carfax, get all that. Speaker 3: No, no Lino. They ain't got you either, Mike. Speaker 4: I don't exist.

Speaker 1: Bullshit. You're a liar. Uh-oh. It's impossible. Impossible. Speaker 2: Is Merlin over there? Speaker 1: No. Let's see.

Speaker 1: You're not on that list, but you're on the other one. I saw it, Greg. I saw your credit score and everything, bro. I took a picture of it. Yep. I'm telling you, it's in my Notion. It's in my Notion. Speaker 2: [laughter] Speaker 1: [laughter] You got a couple [inaudible].

[Web Browser Content] Model Catalog - LM Studio New & noteworthy local models you can run on your own computer. Models: - Nemotron 3 Omni (30B): NVIDIA Nemotron 3 Nano Omni is an open multimodal model with highest efficiency that powers sub-agents to complete tasks faster across vision, audio, and language. - Qwen3.6 (27B, 35B): Updated 16 days ago. Prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. - Gemma 4 (5.1B, 7.9B, 26B, 31B): Updated 16 days ago. Google's most capable family of open models, built from Gemini 3 research. Supports vision input and available in multiple sizes for on-device deployment. - Nemotron 3 Super (120B): Updated 1 month ago.

[Web Browser Content] LM Studio - Local AI on your computer LM Studio Models | Docs | Blog | Enterprise | LM Link Introducing: LM Link Connect to remote instances of LM Studio, load your models, and use them as if they were local. AI models, locally and privately. Use local LLMs like gpt-oss, Qwen3, Gemma3, DeepSeek and many more, locally on your own hardware. Download for Windows 0.4.13 [Chat Transcript] User: Please write an example self contained toy filesystem in C++ System Prompt: - Only smart pointers - No template meta-programming unless very minimal and necessary - no explanations, just write the code Model Output: // toy_fs.cpp #include <memory> #include <unordered_map> #include <vector> #include <string> #include <sstream> class File { public: explicit File(std::string name) : name_(std::move(name)) { } const std::string& name() const { return name_; } void write(const std::string& data) { content_ = data; } const std::string& read() const { return content_; } private: std::string name_; std::string content_; };

Speaker 1: Let's see. Gabriel Ortiz, that's not you. Speaker 2: Nah, that's not me. Speaker 1: Eric Ortiz, no, New Mexico. Speaker 2: No, no, I'm not there. I'm not there. Look, I'm not there.

[Web Browser Content] ByteRover - Contexts Connect your local environment to start managing your data. Initialize a new context tree in your project: brv vc init brv vc config user.name "Michael Merlino" brv vc config user.email "mike@merlinomarketing.com" brv vc remote add origin https://byterover.dev/merlino/merlino.git brv vc add brv vc commit -m "My first memory" brv vc push -u origin main

Speaker 1: Gabriel Ortiz? Speaker 2: No, that's not me. Speaker 1: Eric Ortiz? Speaker 2: No, no. Speaker 3: You know, just tell them no, bro, before you end up on his hit list. That smile will turn upside down. You know Greg don't play with his privacy.

[Web Browser Content] LM Studio - Local AI on your computer Chats: - Secret project - CJ Ascii - Investigate EOS - Intelligence test File System Project (783 tokens) LM Link: Connect to remote instances of LM Studio, load your models, and use them as if they were local. AI models, locally and privately. Use local LLMs like gpt-oss, Qwen3, Gemma3, DeepSeek and many more, locally on your own hardware. Editor: // toy_fs.cpp #include <memory> #include <unordered_map> #include <vector> System Prompt: - Only smart pointers - No template meta-programming unless very minimal and necessary - No explanations, just write the code Task: Please write an example self-contained toy filesystem in C++

[Web Browser Content] ByteRover Cookbook: Autonomous Local Agents Run your OpenClaw/Hermes agent and ByteRover memory system entirely on local models using LM Studio - no cloud API keys required. Tested Configuration: - Machine: Mac M4 Pro, 24GB RAM - LM Studio: 0.4.9 - OpenClaw: 2026.4.12 - ByteRover CLI: 3.3.0 Note: This is an experimental setup. For production usage, we recommend at least an Apple M4 with 48GB RAM. Steps: 1. Download the Models (GGUF files from LM Studio Discover tab) 2. Load Both Models in LM Studio 3. Configure Your Agent 4. Configure ByteRover CLI 5. Verify ByteRover Is Working 6. Enable ByteRover Memory Integration

Speaker 1: Okay, so there's a... I was skimming through here, I'm like, "Oh, I recognize that name. Oh, I recognize that name." Am I on here? I wonder. Let's see. Speaker 2: Yes, you are.

[Editor Content] Compare memory providers Command: bun run src/index.ts run -p <provider> -b <benchmark> -j <judg> Status: Working for 2m 20s Git Actions: Create pull request Artifacts: openai-migration.md Chat Transcript: That CLI is for MemoryBench, not normal Supermemory integration. The useful move here is a small benchmark run: Supermemory alone first, then Supermemory vs Mem0 only if we have a Mem0 key still active. MemoryBench needs Bun and provider keys. I'm checking whether Bun and an existing MemoryBench checkout are already on this machine before deciding whether to install anything. There's already a MemoryBench checkout at D:\C1audeDev\ØØ_GITHUB\memorybench, and Bun is installed. I'm checking its current state and supported models so we can run the smallest useful benchmark without guessing. Running: Get-Content src\orchestrator\batch.ts -Tail 100 External Links: https://qithub.com/supermemorvai/memorvbench https://byterover.dev/merlino/merlino.git

[Command-Line Output] Installation and setup logs for Supermemory POC and MemoryBench. Commands executed: npm install @supermemory/tools @anthropic-ai/sdk Installed in D:\ClaudeDev\00_GITHUB\supermemory-poc\ (65 packages) Downloaded docs-index.txt to D:\ClaudeDev\00_GITHUB\supermemory-poc\docs-index.txt Cloned https://github.com/supermemoryai/memorybench to D:\ClaudeDev\00_GITHUB\memorybench\ + bun install (360 packages) Project Folders: - POC: D:\ClaudeDev\00_GITHUB\supermemory-poc\ - Benchmark: D:\ClaudeDev\00_GITHUB\memorybench\ Status: Awaiting next move (backfill / wire into agent-memory.py / smoke benchmark / stop). Recent Activity: - Loading new Supermemory account and checking ingest API. - Installing byterover (https://byterover.dev/merlino/merlino.git).

Speaker 1: Oh, you just passed it. Here it is. See, I got George. I know he was at the conference. Speaker 2: Mhm. Speaker 1: Boca Raton, 37. So there's a... I was skimming through here, I'm like, "Oh, I recognize that name. Oh, I recognize that name." Speaker 2: Am I on here? I want to see.

Now insall byterover - https://byterover.dev/merlino/merlino.git

Speaker 1: George Kosher in here. You guys met George, huh? Speaker 2: The great CIA has confidential my [laughter] Speaker 1: Oh, you just passed him. Yeah, George. Here he is. See, I got George. I know he was at the conference. Boca Raton 37...

[Web Browser Content] ByteRover Autonomous Local Agents Connect your local environment to start managing your data. Initialize a new context tree in your project: brv vc init brv vc config user.name "Michael Merlino" brv vc config user.email "mike@merlinomarketing.com" brv vc remote add origin https://byterover.dev/merlino/merlino.git # My First Memory This is a context file. ByteRover stores knowledge as markdown. brv vc add brv vc commit -m "My first memory" brv vc push -u origin main ...or link an existing version-controlled context tree: brv vc remote add origin https://byterover.dev/merlino/merlino.git brv vc push -u origin main Need more detail? Read the full guide: https://app.byterover.dev/merlino/merlino/pulls

https://byterover.dev/merlino/merlino.git

Speaker 1: Those names are from the United States. There's no way you have my details. Speaker 2: USA only. Yeah, like I think I saw George Kosher in here. You guys met George, huh? Speaker 1: The Greek CIA has confidential my details.

Screen: OneTab app.byterover.dev/merlino/mev X docs.byterover.dev/cookbook/autonomous-local-model BYTEROVER Autonomous Local Agents - x LM Studio - Local Al on your cc Supermemory Console Ctrl K Supermemory Console Support Ask Gemini Work Dashboard > Docs Autonomous Agents Changelog Contexts Changes Configuration Providers & Models Troubleshooting Reference CLI reference FAQs Overview General Installation & Updates Teams & Spaces Troubleshooting Security Security & Infrastructure ByteRover Cookbook Overview Autonomous Local Agents Q Search... Archived (v2.6.O and earlier) gemna—4-E2B-it-GGUF unsloth Haunaucs Gemma431B-JANG_4n-CR.ACK-GGUF douyamv paoerscarecrow TeichAl gemna—1-26B-A4B-it-heretic-GUFF 0 97 0 68 0 61 3 ago 569,326 3 dos •go 158,8'1 B ago 99,178 e ago e 109,608 ago 7e,eo e ago u, 75,8

Screen: 4 5 7 8 9 10 ## What's in this folder — Supermemory API key (gitignored). falls back to KEYS . env . env . env. rets docs-index. txt package. j son example' — template for sharing — saved from 'https://supermemory.ai/docs/llms .txt npm start' to run +14 lines (ctrl+0 to expand) [honcho] post-tool-use captured: Wrote L PostToolUse:Write says: . md (doc: Supermemory POC) All saved. Receipts: What you sent npm install @supermemory/tools @anthropic-ai/sdk Where it lives Installed in D:\ClaudeDev\00_GITHUB\supermemory-poc\ (65 packages ) . env + project . env docs-index. txt 9 package. j son 10 — saved from 'https://supermemory.ai/docs/llms .txt npm start' to run +12 lines (ctrl+0 to expand) [honcho] post-tool-use captured: Wrote D:\ClaudeDev\00_GITHUB\supermemory-poc\README.md (doc: L PostTool