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I've stopped trusting any tool that calls itself a "second brain," because most of them are just a folder with better marketing. But claude-obsidian actually does the thing: drop a source in, Claude reads it, links it, and files it into a knowledge graph you can still open with a plain text editor when the hype cycle ends. That's the bar. Today's drops are about tools that hold state instead of just answering once and forgetting, and three repos that's been quietly winning the local inference war since before most of us knew there was a war.
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The Drops
Repoclaude-obsidian
15,035 stars · AgriciDaniel/claude-obsidian
A self-organizing second brain for Obsidian that runs on Claude Code.
Here is the real problem it solves. You drop a PDF, a link, or a voice memo in, and it reads it, links it to what you already have, and files it into a connected graph of plain Markdown you actually own, no export tax when you leave.
Quick start: point it at one messy folder tonight and watch what it connects that you didn't.
Catch: the value compounds with volume, so a single test file won't show you what it does at scale.
AffiliateHubSpot
If a second-brain repo can file your notes for you, the next question is whether a CRM can run your customer conversations the same way, without you wiring the plumbing yourself. HubSpot, a CRM with prebuilt AI agents that run on the customer record. A Customer Agent answers support, a Prospecting Agent researches and drafts outreach, a Data Agent cleans what sits underneath, no plumbing to build first. The CRM underneath has a free tier.
Use it for: putting support, prospecting and data-cleanup agents on the record your team already keeps.
We may earn a commission.
Repollama.cpp
128,581 stars · ggml-org/llama.cpp
The C++ inference engine that made running models on your own hardware normal.
Use it for: running a real model on a laptop with no GPU rental bill.
Catch: you're trading convenience for setup time, and the flag list is not small.
Repogoose
54,389 stars · aaif-goose/goose
A multi-provider, MCP-native agent framework moving from Block to the Linux Foundation.
Use it for: building agents you're not locked into one vendor's roadmap for, with 70+ extensions already built.
Catch: a framework move to a foundation is a governance story, not a features story, don't expect new capability from it alone.
Repoagent-skills
95,751 stars · addyosmani/agent-skills
Production-grade engineering skills for coding agents, not toy prompts.
Use it for: giving your coding agent the same review discipline a senior engineer would apply, packaged as reusable skills.
Catch: skills are only as good as the agent running them, this doesn't fix a weak model underneath.
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Start Here
Connect a folder of your own documents and start asking it questions instead of retyping the same answers.
Right now, if someone asks you something that's buried in a PDF, a set of notes, or an old email thread, you go dig for it yourself. That's the gap this closes.
1. Open Claude, ChatGPT, or whichever assistant you already pay for, and look for a way to attach files or connect a folder, most now have this built into the chat window itself.
2. Point it at one real folder you actually use: your notes, your contracts, your project docs, nothing fake or test-only.
3. Ask it a question you'd normally have to search for yourself, something specific like "what did we agree to in the March contract."
4. Read the answer against the actual document before you trust it, the first few times matter most.
5. If it's right, ask a harder follow-up question in the same conversation and see if it remembers the thread.
TRY THIS: open whatever AI tool you already have, attach one real folder of your own documents, and ask it the single question you were most recently annoyed you had to look up yourself.
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Recommended
Once you've asked your documents one good question, the next move is having a ready stack of prompts for the rest of your week instead of writing each one from scratch. HubSpot's 100+ ChatGPT Prompts guide is a free download of working prompts for writing, research, and daily tasks, organized so you can lift what you need and go. We may earn a commission. |
Frontier Signals
Claude Code relaunched Projects to run multiple agents under one shared memory and goal set. Instead of juggling separate sessions, you get one workspace where agents share context and files, closer to a team than a tool. (The Verge AI)
Vercel shipped native support for running Terminal-Bench and other Harbor evals directly on its Sandbox product. If you're building agents that touch a terminal, you can now benchmark them against SWE-bench, tau3-bench, and OSWorld without standing up your own eval infrastructure. (Vercel Blog)
Unsealed court filings show a Microsoft executive privately called OpenAI's data scraping "the largest theft of labor in human history." Both companies reportedly scraped paywalled content and built training sets from it while flagging the legal exposure internally, worth watching if your stack depends on either company's models. (TechCrunch AI)
Datasette shipped 1.0a40 with a security fix plus a new API for plugins to run background tasks. If you run Datasette for internal data tools, the background-task hook opens the door to scheduled jobs without a separate cron layer. (Simon Willison)
Wired argues AI labs framing safety pauses as a "slowdown" instead of a security standard may have invited years of antitrust scrutiny instead of avoiding it. The framing choice matters for anyone betting on a stable regulatory floor under frontier model access. (Wired AI)
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Before You Go
Reply and tell me what's actually in the folder you'd connect first, the messy one you keep meaning to organize. I read every reply.
See you Monday.
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