Has anyone read The Second Brain by Tiago Forte ?
I have seen a lot of videos around the book and I am thinking of buying the book.
u/PatientVast — 1 day ago
r/secondbrain
I think in clusters, so I built a mind map that does too
I’ve been working on this for a while, and only recently realised I was basically projecting how I think onto a screen.
I tend to think in clusters, one idea connects sideways to three others, those collect into groups, and eventually the overall shape starts to make sense.
It began as a mind map. Then I wanted separate maps that could connect, and paths that could run through the bigger thing. Later I added AI so I could ramble through an idea, get a rough visual structure back, then move, delete or correct whatever I misunderstood.
It’s called Clarimind and it’s now at the point where other people can poke at it. You can open a Canvas without signing up.
Curious whether this feels genuinely different from a normal mind map, or whether I’ve just spent a long time building a very elaborate one.
u/NuclearReflection — 21 hours ago
▲ 2 r/secondbrain
Second Brain Setup?
What's your second brain setup?
I was talking to a few folks, and these came up -
- A shared folder of Markdown, interlinked, over Google Drive or One drive, often with Obsidian as md editor.
- A github-hosted wiki, sometimes with additional indexing, not only plain md files
- Custom complex vector db / embedding kind of index
On my team we're using a shared hermes agent that has ts own memory and tools - it's a great way to have shared context, but it's more like one-know-all-agent rather than a company / second brain as my gpt / claude can't enjoy its knowledge.
I wonder what others are doing, please share.
u/avishic — 2 days ago
A free productivity and creativity platform with free introductory levels that includes a free chrome extension and free app store apps? You betcha!
I spent the last 20 months over caffeinating and vibe coding to prove the humble sticky note is the perfect mental Legos....
Think of TaskLoco as Legoland for your mind 🧠
All lite versions 100% Free forever
Amazing 👏 premium plans for those few who need more, more, more
u/Early_Key_823 — 3 days ago
"Why you forget your best ideas, and what actually stops it" - blog post on Corteks
Hey everyone! Happy to hear what you think about this blog post. I know many of us face the same challenge:
The thought arrives in the shower, in the car, halfway through an argument. By the time you could write it down it has gone, and you are left with the shape of it and none of the content.
The particular cruelty is that you can still remember it was good. You know roughly what it was about. You know it connected two things you had never put together before. What you cannot do is reconstruct it, and the harder you chase it the further away it gets.
Most advice about this is about remembering harder. That advice is aimed at the wrong problem, which is why so little of it works.
Full article here
u/sshegem — 2 days ago
Transcribing and linking was bookkeeping I kept mistaking for thinking
This is my vault. I didn't draw any of it.
For about two years my note practice was really two practices wearing one name. One of them was reading and thinking. The other was bookkeeping: remembering that the note I'm writing now touches something I wrote in March, going to find it, linking it, tagging it, filing it. I told myself the bookkeeping was the thinking. It isn't unfortunately. It's clerical work with a very good disguise, and it eats the same attention that reading needs.
So I handed the mechanical half over. The connections in this graph were proposed mechanically: every note gets compared against every other note on the words it actually uses, links get written where a note names something the vault already has, and the colours are communities the graph found on its own, each one labelled with the words that cluster has and its neighbours don't. Nothing here was a model or an API. It's counting words and comparing sets, which is why it's fast and why it's honest about what it doesn't know.
What I did not expect is that having it built for me changed what I could see and finally learn.
When you link by hand you only ever see one edge at a time, the one you're currently making. You never get the whole shape, because you're inside it. Getting the whole thing at once, already connected, meant the first question stopped being "what should I link this to" and became "why is that over there" or "why are these two correlated".
The order of operations flipped, is what really happened. I used to think you connect notes and then the structure emerges later, if you're diligent. And that's true! But what if the structure arrives first, mechanically, and I read it and then edit the notes into better, more personal shape? The wrong edges are useful too. When it insists two notes are about the same thing and I'm sure they aren't, one of them is usually vague, and that's my problem, not the algorithm's. I've rewritten more notes because of a connection I disagreed with than because of one I liked.
Two things I'd want to know if I were reading this post instead of writing it. It proposes; it doesn't rearrange your vault behind your back. The only thing that writes is the autolink pass, and every write goes into a changes list with a per-file diff so you look at it and revert what you don't want. And it runs entirely on your machine with no network at all, which for me was the whole point, since a vault is the least appropriate thing I own to hand to somebody else's server.
I'm still figuring out how often to regenerate it. Every time I look, the seams have moved a little.
Thanks for reading this far. You can try it on a messy vault rather than a clean one, that's where it has something to say.
u/Cryvixx — 3 days ago
I have ADHD and built a sticky note on a storyboard app to overcome my inertia
Unlike other productivity apps TaskLoco goes with your flow.
It’s visual and spatial so you can actually focus because you can literally see what you’re doing
TaskLoco is visual sticky-note storyboard for tasks, events, docs, notes, media & files.
Anyone can TRY IT FREE @ (https://www.taskloco.com)
u/Early_Key_823 — 4 days ago
Three weeks of building later: COS Glasses now has a Mac app, speaker ID, and a real memory. Plus GotCOS is giving away a pair of G2s.
Last month I posted about wiring the G2 into the AI coding agents already sitting on my Mac, so the glasses answer like they know what I do all day instead of like a search box. That post went way better than I expected, and honestly the DMs have been the best part of it. (Original post here if you want the architecture and the SDK gotchas.)
Three weeks later it's basically different software, and about 250 people have set it up so far. Here's where it's at. The giveaway details are near the bottom.
GotCOS has a Mac app now
Version one was a terminal command and a lot of faith. Now there's COS Control, a menu bar app that runs the server for you, shows you what's actually running, updates without breaking itself, and can repair common install or update failures. After setup, you shouldn't need the terminal for normal use.
It opens on an Activity view, which I did not expect to use nearly as much as I do. Six windows into what your COS is already holding: Messages, Speakers, Meetings, Memories, Threads, and your agent Sessions. You stop guessing what it caught. Every meeting, every answer, every voice it's learned is sitting there in a list you can open.
It knows who talked
This one surprised me. Meetings get transcribed locally, and now voices carry across them, so somebody you talked to three weeks ago shows up by name in today's call instead of as "Speaker 1" all over again.
It was hard, and I built the review tools before I trusted the accuracy at all. Below a confidence floor the panel just says "unidentified" rather than guessing, because a confident wrong name is worse than no name. You can play the audio back, confirm a voice, or tell it "nope, wrong person" and it'll retract whatever training that mistake created. With a microphone strapped to your face in a real room, that correction loop is doing most of the work.
Everything else that shipped
- Meetings show up faster. A saved meeting used to wait on the full high-quality pass before it landed anywhere. Now it appears right away, then the higher-quality pass fills in the rest.
- Transcription got faster when nothing else is going on. The post-meeting polish grabs the GPU when nothing live is competing for it, and hands it back the second a meeting starts. Roughly 6x faster per word than the CPU path.
- Live text on the lens while you're still talking, swapped for the real transcript once it commits.
- Video uploads resume now instead of dying on a bad connection.
- Photos on the lens at 288x144, plus answer images you can pull up on the G2.
- Jobs still live on the Mac, so you can close Even Hub or drop off Wi-Fi and the answer is waiting when you get back.
Cursor works now, and there's no second bill
Not just Claude Code and Codex anymore. Cursor works too, so you can put Grok or Composer behind the glasses. You pick the model per question from the lens and swap mid-conversation if one isn't getting it. Three agent CLIs, whichever one you're already paying for.
Which gets to the thing people keep assuming wrong. GotCOS doesn't add a separate API bill. It signs in through the CLI you already use, so it runs on the Claude Code, Codex, or Cursor account you already have, subject to that provider's plan and limits. Nothing to paste, nothing metering you per token.
Whatever can run entirely on your machine already does. Transcription is local by default through whisper.cpp, so meeting audio never leaves the Mac, and spoken replies can be local too. Cloud transcription is there as a fallback but it's off until you turn it on, and just configuring a key won't upload anything on its own. To be precise, since this crowd will ask: the reasoning still goes to whichever provider you signed into, on your existing plan. What's local is the transcription, the speech, and the files. Meetings, memories, and transcripts sit on your disk as plain files you can open, grep, back up, or delete.
It works inside the Hub, not around it
Saying this plainly since there are a few different approaches floating around this sub. It's a marketplace app. You install it from the Even Hub like anything else. Nothing to flash, nothing to unlock, no warranty to worry about. I build inside the Even Hub SDK sandbox and code around whatever it hands me.
That's a tradeoff and I'm not claiming it's the better one. The custom firmware folks get past walls I have to engineer around, and I've picked things up from their work. But if you want your glasses doing more without modifying the glasses, this is the path.
What you end up with is a workflow that stays on hardware you already own. Ask a question, read it on the lens. Talk, and watch the transcript appear while you're still talking. Point the server at a folder and the agent works through the files in it, including whatever your Mac already syncs down from iCloud Drive. A meeting you just recorded becomes a file the agent can read a minute later, so you can ask about it without exporting anything anywhere.
Two people this owes something to
u/ICE_MF_Mike ran my server through his own Claude setup after the last post and came back with an actual security review. Shell injection in a title generator, file permissions, network defaults, a Telegram switch that should have been opt-in. He was right about all of it, and all of it is patched and shipped. Best thing that's happened to this project.
u/True-Benefit-4856 is the only reason there's a desktop app. The companion started as their idea and turned out to be the one change that made this usable for anyone who doesn't want to live in a terminal.
If you read the source and find something, I want to hear it. It's MIT, it's on npm, and it runs on your machine, so read it before you run it.
The giveaway: a pair of G2s
https://www.gotcos.com/challenge/
I've got a second pair sitting here and I'd rather they go to somebody who'll do something interesting with them than sit in a drawer.
To enter: comment with what you'd build or how you'd use it. Not a wishlist. The actual use case, the workflow, the thing you can't do today and want to. Feature ideas for COS Glasses count, and so does a completely different application of the hardware.
How I'll pick: I read all of them and pick the one I most want to see exist. Best idea wins, upvotes don't decide it, though I'll definitely read the ones you upvote.
Deadline: October 1.
Fine print: used pair, good condition, mine to give. Open worldwide, and the winner covers shipping from the US plus any customs or duties on their end. I'd rather send these to the right person in another country than limit it to one. You don't need to be running COS Glasses to enter, and running it doesn't help your odds. If your idea wins and it's something I can build, I'd rather build it with you than for you.
Setup
- Setup wizard, about five minutes: https://www.gotcos.com/wizard/
- The Mac app: https://www.gotcos.com/control/
- Full docs, every feature on one page: https://www.gotcos.com/docs/
- Source, MIT, on npm: https://www.npmjs.com/package/@gotcos/glasses-server
- Even Hub: search “COS Glasses”
You need at least one of Claude Code, Codex CLI, or Cursor installed and signed in. Whichever you already have is fine. It works standalone, and if you're already running a bigger COS setup, point the server at that folder and the glasses inherit all of it.
I keep calling this a side project and it keeps being the thing I use every single day. Recording a customer call and asking what I missed. Logging an idea halfway through a walk without pulling my phone out.
If you try it and it breaks, tell me and I'll get you running. Building against this SDK yourself? Happy to compare notes on any of the traps. And if you've got an idea for what this should do next, drop it in the comments, because there's a pair of glasses in it for one of you.
u/One_Variety_3939 — 6 days ago
▲ 8 r/secondbrain
I got bored so I built my own second brain
I started with Obsidian because I really liked having everything in Markdown and being able to see how my notes connect, but I kept wanting to change how certain things worked.
So I ended up just building my own lol.
Right now it has three main parts:
Editor — edit the actual Markdown files
Graph — basically the Obsidian part, where I can
see how everything connects
Database — I just added this one. It’s the Notion side, so I can actually store and organize structured information instead of everything having to be a note.
The other thing I really wanted was for Claude Code to actually work inside the system.
It has a direct connection to the app, so Claude can understand the structure, find what it needs, and make changes without having to spend every session figuring out how my whole system works.
I’ve been using it as my own second brain and honestly it’s been pretty cool seeing the same information work as a Markdown file, a graph, or a database depending on what I’m doing.
I’m still building it and changing things constantly, but I figured people here might find it interesting.
What do you guys think? Is there anything you’d want a second brain to do that current apps don’t really handle?
u/Justshutuppleasenow — 4 days ago
Corteks.app - thoughts dump app
Hey everyone!
Soooo, I'm the type who thinks ALOT. I can't get past 2-3 pages of a book without my mind thinking of tens of new ideas or starting to question everything I know. My mind fires-off big time and I get inspired VERY easily. The difficult part is that I want to remember all these thoughts, so I usually write them in a notes app or take screen shots or pictures, but they always end up in my gallery or a notes app that I only open mid-flight (then forget about it when we land).
So I built an app, called it Corteks. Basically a dumpster for your thoughts. Literally all you need to do is voice record your thought (or type it / upload an image if you want). Corteks reads it, analyzes, summarizes, categorizes, detects patterns, links your thoughts to each other, to your objectives, maps your thoughts into a mind graph and generates insights and a weekly story.
I just submitted the app to the AppStore so was interested to see what you'd think about it.
There's a bunch of features but my favorites are the thoughts getting linked to objectives and the weekly story (see video below). the weekly story is heavy because it tells you what you've been thinking about the most, when you do your thinking (days and times), how they're linked, what you've been avoiding, what you need to focus on (all in relation to your recorded objectives), and may even propose a new objective for you to focus on based on what you've been thinking about. It asks critical questions to help guide your focus too. You can always chat with Cortek's AI (Corpus) and ask it anything "what have I been avoiding" "what do I need to focus on the most"...etc.
Your Week in Thoughts - Corteks Weekly Story
I'm also going to be adding a feature where in the filter (or when you search through your thoughts), you can simply select the thoughts that appear and request an analysis to see if there's any kind of pattern that can be detected between those specific thoughts and themes. It already does it to thoughts that are more obvious, but this new feature is purely for thoughts that you select.
Since it hasn't been launched yet, I created a waiting list for whoevers interested in trying it (would really appreciate getting input if any of you are heavy productivity or journaling app users). There's an automatic one week trial (actually 8-9 days if you start using it on a Saturday or Sunday), but I will also send out a coupon code to anyone who joins the waitlist now and provides feedback once the app is launched.
Really looking forward to hearing what you think about it!
u/sshegem — 5 days ago
What we're learning about AI memory (and why most of it doesn't work yet)
We've spent the last few months building a memory layer for AI, and the biggest surprise so far isn't technical. It's that "memory" means completely different things to different people.
Vannevar Bush wrote about the Memex back in 1945, a machine that would store everything you'd ever read or written and let you retrace your steps through it. That's basically the dream we're all still chasing 80 years later. But there's a distinction Bush didn't have to deal with that we think about constantly: machines and humans don't need memory for the same reason.
Humans need to recall. We already know the thing, we just need a nudge to bring it back. A photo, a smell, a half-remembered keyword, and the rest floods back. Human memory is reconstructive, not a filing cabinet.
Machines need to remember, full stop. An AI doesn't have a "tip of my tongue" moment. If the fact isn't stored and retrievable, it doesn't exist for the model at all. There's no reconstruction, no nudge, no half-memory to work with.
That difference matters more than it sounds. A lot of memory products today are built like recall tools (search, tags, "jog your memory" style UX) when what the AI actually needs is closer to a database with judgment. It has to remember things it was never shown twice, connect facts it didn't experience, and know what's actually load-bearing versus noise.
A few other things we keep running into:
- Most "memory" features today are really just longer context windows. That's not memory, that's a bigger notepad.
- People trust memory less the more invisible it is. If they can't see what's stored, they assume the worst.
- Nobody agrees on where memory should live. Per app? Per device? Following you everywhere? All three have real fans and real haters.
We don't have this fully figured out, which is honestly the fun part. If you've used any AI tool with memory (ChatGPT, Claude, whatever) and it's ever gotten something wrong or weird, we'd genuinely like to hear about it. That kind of failure is usually where the interesting design problem is hiding.
What's your take? Should machines be trying to recall like we do, or is remembering everything actually the right model for them?
u/PhysicalImagination — 6 days ago
Has AI completely broken your knowledge-management system?
A few years ago, my workflow was pretty straightforward: bookmark interesting links, save notes, organize everything into folders, and hope future-me would actually find it again.
Now, with ChatGPT, Claude, and increasingly capable search tools, I catch myself asking: what's even the point of meticulously organizing information if I can just ask an AI later?
At the same time, AI seems to work better when it's fed good notes, documentation, and context. So I'm not sure whether AI has made knowledge management less important or more important than ever.
Have your habits changed over the last couple of years? Are you taking fewer notes, or has AI pushed you to build an even better system?
u/Ok_Idea5429 — 8 days ago
Unpopular take: a fixed-schema Notion database is enough. Templates aren’t a second brain.
I’ve been using Notion for years. Bought into the whole second brain hype – built dashboards, tracked everything, nested toggles for days.
But honestly? Most of it is just form over substance.
People are obsessed with templates, icons, progress bars, color-coded life OSes – and they forget that content is what actually matters. The template business is literally built on formalism. You buy a pretty dashboard, fill it in for two days, then abandon it. But hey, at least you got a nice screenshot for social media, right?
Here’s the thing – most of us (content creators, bloggers, small biz owners, trainers) don’t need some crazy life operating system. We just need a stable, fixed-schema database. Something that holds our stuff, doesn’t crash, and stays out of our way. That’s it.
But what I REALLY want – and what would actually make Notion a “second brain” – is a way to connect that database directly into my group chats. Like, put it in Slack, Discord, Telegram – whatever. Then someone in the group just types /ask and questions my entire Notion – all the stuff I’ve been maintaining for months or years. It pulls the answer right out of my notes. No clicking, no searching, no remembering where I put that one page.
That’s a second brain. Not a bunch of nested toggle lists and gallery views.
Right now, Notion is just a glorified filing cabinet. You can put stuff in, but you can’t talk to it. You have to remember where you put everything, click through pages, search with keywords – it’s like having a library with no catalog and no librarian.
I don’t need more AI writing features. I need a way to query my own damn database from the places I actually live in (Slack, Discord, Telegram). Until then, it’s just a fancy notebook with a lot of hype.
Anyone else feel this way, or am I the only one?
u/ChrisDinn — 9 days ago
▲ 7 r/secondbrain
Is there any popular software specifically designed for a “second brain” these days?
I’m currently using a combination of Obsidian and Linear as my “second brain,” but to be honest, it’s quite a hassle to manage. So, are there any software programs or tools you’d recommend specifically for a “second brain”? Also, if you were to create your own dedicated software, how would you design it?
u/Ryoki1017 — 8 days ago
A lean Second Brain for people tired of overbuilt Notion systems 🧠
I rebuilt my Notion Second Brain 17 times, mostly because every “perfect” setup eventually became another thing to maintain. So I made the version I actually wanted: lean, simple, and based in part on PARA, without the 47-database monster
https://www.notion.com/templates/the-lean-second-brain-893
🚀 Launch coupons:
BRAINFORFRIENDS -> $0.99 for the first 100 people
SECONDBRAIN17 -> 90% for the first 17 days or 170 uses
u/ProfessionalGlove152 — 7 days ago
How are you searching scattered daily notes without losing exact names, dates, or action items?
I take a lot of daily notes, a mix of handwritten pages on an e-ink tablet synced to cloud storage and quick markdown scratchpads on my laptop.
My biggest workflow bottleneck right now is retrieving specific, actionable details across these scattered files:
- Keyword search fails when I can't remember the exact phrasing I used three weeks ago.
- Basic AI search tools miss proper nouns. Vector search is great for general concepts, but it routinely drops specific names, tech stacks, or deadlines (e.g., searching for tasks assigned to specific people) because embeddings prioritize overall context over exact words.
- Full-file context drops. Asking an LLM to process or translate a complete, multi-page meeting transcript often gets truncated due to chunk limits.
Before I start hacking together custom scripts or building a personal tool to fix this, I want to check if someone here has already solved this cleanly.
A few quick questions about your setups:
- Hybrid search: has anyone found a tool or plugin that reliably combines exact full-text keyword search with semantic AI search?
- Cloud permissions: for those syncing note folders to the cloud, how do you handle folder-level privacy without granting an app access to your entire cloud drive?
- Weekly recaps: is anyone successfully automating weekly action-item digests out of daily scratchpads without manual copy-pasting?
Curious to hear how you manage this in your personal knowledge setups, or if most people are just sticking to strict manual tagging and native search.
u/EnlighteningHistory — 9 days ago
🌟 Introducing Everglow: A Local-First, Privacy-Hardened AI Journal & Personal Intelligence Engine
Hi everyone! 👋 I’m the independent developer behind Everglow.
Most personal journal and diary apps suffer from the "black hole" problem: you log your thoughts, daily life, meetings, and trips, but they disappear into a chronological void, rarely to be resurfaced in a meaningful way. I wanted to transform the traditional "static diary" into an evolving, queryable Living Personal Database—without compromising privacy or shipping personal thoughts off to cloud servers for AI model training.
🛡️ Why Privacy-First?
Journaling contains your most personal memories and private data. Standard cloud-based AI solutions often route your data through third-party APIs where it can be stored, processed, or used to train future models.
Everglow is built local-first:
- On-Device LLM Inference: Powered natively on your device via Gemma 4.
- No Accounts, No Telemetry: In on-device mode, everything is processed and stored locally — no analytics SDKs, no sign-up. (If you opt into Everglow Cloud below, auth is subscription-linked plus device attestation, not a personal account — but it does register your device.)
- Offline-Ready: With the on-device model selected, indexing, RAG, and query workflows run seamlessly in complete airplane mode — zero network calls.
✨ Key Features
- The "Life Indexer": As you record daily events, Everglow uses an on-device AI agent to extract entities, key events, and relationship connections, creating a dynamic web of your life.
- Two-Tier Retrieval (Ask Tab):
- Fast: Quick semantic vector scan via
sqlite-vecfor straightforward lookups. - Considered: Reads auto-generated monthly "rollup" chronicles — aggregated summaries of events, people, and themes — to answer questions that span a longer timeline.
- Fast: Quick semantic vector scan via
- Interactive Social & Entity Graph: Renders a force-directed map showing how people, places, and topics in your journal connect to one another.
- Everglow Cloud (Optional Proxy): For faster speed you can opt into Everglow Cloud. The proxy routes requests securely (with zero-data retraining guarantees) using a dynamic token-cache system to keep costs low. Alternatively, you can bring your own remote API keys.
🛠️ Technical Architecture at a Glance
- Inference Engine: Powered by LiteRT-LM running directly on the iPhone GPU via Metal Shaders for high token generation speeds.
- Concurrency: Swift Concurrency with actor isolation — LLM inference runs inside a dedicated actor off the main thread, so C/C++ matrix operations never block the UI, keeping interactions fluid at 60/120 FPS.
📱 Get Started
Everglow is free to try with no mandatory subscriptions to get started.
- App Store: Download Everglow on the App Store
I'd love to hear your feedback on on-device LLM performance, RAG architecture on mobile, and local privacy design!
u/Pseudo_Hito — 9 days ago
Second Brain in a personal assistant.
This is not a product I am selling or trying to advertise. I am just trying to make something that I need to increase my productivity.
TLDR: building self-hosted personal AI/PKMS on a RPI to help manage ADHD and personal life. Automatically captures messages and notes, creates events and todos, and has a personal knowledge database to improve dynamic reminders. The goal is to make a passive interconnected system that acts as my second brain. I am mainly looking for problems other people struggle with, tools and methods used for solutions, and features I should consider adding.
Hello all! I am looking for input and feedback and advice on a personal project I am working on for myself. I want to share the features my project has and see what you guys have or use. The main goal of the project is to make something as passive and automatic as possible.
For context I finally figured out that I had adhd few months ago and have been trying to develop tools to help manage my personal life as I suck at that shit.
What are some things you find hard to manage and specific problems you run into?
What tools or methods have you used to combat this?
What specific features about said tools do you find most helpful or useful?
Currently I have a raspberry pi that is always on and running I can access anywhere on any device using tailscale. On it is openclaw waiting to be used with access to a lot of skills. Here is a list of the skills.
- CLI interface
- Web interface
- iPhone shortcut/api interface
- !command usage (to limit the amount of api credits used)
- !status, !schedule, !remind, !note, !gym, !study, !dump, !recall, !help
- automatic reminder creation
- google calendar for automatic event creation
- Loads a day plan every morning with to dos reminders and events
- End of day reflection so reminders and to dos are adaptive and dynamic
- Automatic message forwarding
- Messages sent and received get sent to ai
- Local ai looks it over and creates a reminder, event, or to do if pile fills
- Email forwarding
- Same feature as messages
- Universal dump inbox (!dump)
- Input anything I want it categorizes it into a specific note, to do, reminder, event or storage pool
- Workout tracking
- SQLite vector data base
- Has databases for different areas of my life
- School (Textbooks, syllabus, homework assignments, etc.)
- Personal knowledge base on me (Currently going over all information i recieved from data dumps from various companies [Google, apple, facebook, chatgpt, etc.])
- Google Drive
- Notes app
- Creates a knowledge graph in obsidian so I can see what it thinks it knows and correct if necessary
- Has databases for different areas of my life
- Able to recall information from these data bases when necessary
- Creates graphs and statistics for things done like workouts or reminders or todos
Future features
- Macro tracker
- Meal and meal prep tracker
- Knows how much I spend and can help manage money and unnoticed subscriptions
- Manage emails
- Audiobook generator
- Google extension
- Completely local
- Task and to do prioritization
I know tools exist already but they are all subscriptions or not interconnected or don't have enough to customization. I would rather have something I built my self I can improve or change easily. I pretty much just finished the V1 and have been testing, tweaking, and fixing errors while also working on V2. It works pretty well so far and is very passive.
I am looking for any critiques, feedback, possible improvements and advice.
u/Stevierayk_69 — 9 days ago
New To obsidian
Halo Everyone,
I am currently new to obsidian, how can i utilize to make it my own custom second brain, for it to work.
u/GamblerKinger — 11 days ago
Moving beyond standard Obsidian and GitHub for second brain: Has anyone tested Graphify, GBrain, or other agent-ready knowledge tools?
Hey everyone,
I have been running my personal second brain on GitHub for a couple of years now. It is mirrored locally, managed with some background automation jobs, and visualized using Obsidian where I heavily rely on critic markup editing. For operational work, it is paired with a Google Drive workspace for the team and Notion for project and task management.
While this markdown-first setup has served me well, I am starting to look at how modern graph compilers and agent memory layers fit into a mature workflow.
Specifically, I have been eyeing tools like Graphify for automated local graph building and document mapping, and GBrain for agent-native memory and self-wiring relationship extraction.
Before diving into a migration or heavy refactoring, I wanted to tap into the community here. Has anyone actively tested Graphify, GBrain, or other alternative second brain infrastructure alongside a markdown setup?
What has your experience been with automated entity extraction versus manual wikilinks, and are these tools actually useful for day-to-day operations or are they more overhead than they are worth?
Would love to hear what worked or failed for you.
u/mattiananetti — 12 days ago