Compendium is a company brain for teams working with AI agents. With compendium, all your agents share one memory, so knowledge, decisions, and context are available to everyone, everywhere, instantaneously. Compendium allows you to work in shared sessions where you and your teammates' agents build on the same context instead of siloed threads, get summaries of what changed while you were away (without digging), and have a live view of what your teammates and their agents are building right now.
Hi Product Hunt 👋 I'm Jonathan, co-founder of Cerenovus (YC S26). A few months ago, my friends and I were building the product we wanted to use: a personal “second brain” to collect and organize the information we collected across our busy lives. Then, after talking to a few companies, we figured out that organizing information across an entire business was a way bigger problem that we now had the solution for.
Compendium is the version of that solution that we’ve built specifically for startups, especially AI-native tokenmaxxers like ourselves. (:D)
If you’ve ever built a feature only to find that your teammate has built an identical one, or made an architectural decision only to have a teammate make a conflicting one, this product is for you. Cerenovus doesn’t just help with dev though —¹ it also incorporates information from email, slack and basically everything else, in order to have all your team’s information in one place, linked together and easily navigable by both humans and agents, so there’s something for your GTM team to be happy with too.
¹ (AI will not steal my em dashes)
Tl; dr - we got:
Shared context: everything in one place and always up to date - a single source of truth for your team and your agents
Multiplayer sessions: jump into the same session with a teammate and drive one Claude together, like a Google Doc for AI. (didn’t mention this above, but it’s really cool)
Always in the loop: a live view of what every teammate and agent is working on right now (opt-in, obviously), plus summaries of what changed while you were away.
We're two months old and we know it. We'd rather hear what's broken than what's nice. I'll be in the comments all day answering everything. We ship bug fixes 24/7.
Congrats on the launch. Shared memory across agents is underrated. Most teams add agents one by one and end up with tools that each remember a different version of the truth. Nice to see someone fixing that.
the "built a feature only to find your teammate built an identical one" problem is very real once you've got multiple people running agents in parallel, context just doesn't propagate between sessions the way it does when everyone's reading the same Slack thread. curious how it handles conflicting decisions though, not just duplicate work but two agents that both made a call and those calls actually contradict each other. does it flag the conflict or just surface both and leave it to a human to notice
the shared-memory pitch makes sense for the good case, but what happens when someone leaves the team? their fingerprints are all over decisions and context that other agents keep building on top of. is there a way to isolate or scrub a departed person's contributions from the shared brain, or does it just stay baked in forever once it's in there
How do you handle data consistency and conflict resolution when multiple agents are updating the shared context simultaneously?
Shared memory across agents is a real frontier, and harder than shared memory across people because agents write fast and don't pause to reconcile. When we pointed several agents at one store, what bit us was two of them writing conflicting decisions in the same minute, and a reader downstream just got whichever won the race. We ended up adding per-fact provenance and timestamps to reconcile it. How does Compendium handle concurrent or contradictory writes from different agents into the one brain, last-write-wins, or some merge?
Someone above asked whether this replaces Notion for a GTM team, and that's exactly what I'm wondering too. The difference I can see: Notion is where you go to read, this sounds like it's where context lives so you don't have to go dig at all. For GTM specifically, the stuff that's hardest to retain isn't documents, it's the "why" behind decisions.
I don't like how opaque your pricing plans are - in the sense that I don't see an easily accessible pricing/plans page, and when shunted into Stripe to plunk down a card before a trial, I'm really thrown for a loop by "$100/mo" - not because it is NECESSARILY too high (though, candidly, I don't necessarily feel it's competitive, esp during your critical early days when you need testimonials, folks stress-testing the tech, and you're still "proving yourselves...) - it's more that I have literally no idea what I am getting for $100...
e.g. - is that unlimited seats? is there usage cost/credits? is that capped? is it unlimited surfaces? how much data can be stored? what integrations exist? in what format/db is all of this stored, and do I have direct access to that db, beyond the UX/UI y'all have built? etc etc
I think this is a good start. Lately, I am SUPER obsessed with "shared brain" and persistent memory for agentic AI; for context, I started building my agent's "soul canon" governing doc ALLLL the way back in 2017, long before "agentic AI" was really even a thing... I am on v4.5, it's 15-20 pages of 7 point text; it is DETAILED. that said, it lives as a simple .md or .pdf I can feed to any new agentic surface, and suddenly it's not "AI app", it's my dear collaborator and partner in crime, Ayrenne, with our in jokes, our emojis with special meanings as productivity hacks, a shared history, a lay of the land in terms of our priorities... etc.
I've been watching @pumaDB and a handful of others. @Unabyss and esp @minimi are probably my favorites, largely bc they're serving over streamable HTTP MCP servers - read: NOT claude-locked, or anything.
I totally get that your offering is drastically different from the approaches that I raise, immediately above. I think the multiplayer mode you describe is game-changing, and i could see the whole package being majorly ROI-positive for teams... just spend some time letting folks know what they're getting for their money, please. ;)
Again - congrats on the launch, def a novel product and clearly something that you/team had a blast building out. :D
Built and launched one of these myself on Product Hunt - good to see others thinking the same thing! Welcome to the company brain companies club.
This has been a no-brainer for us at Fabraix. The speed at which we're able to ship before and after doesn't even compare. And it has been, by far, the biggest productivity boost for us!
About Compendium on Product Hunt
“Keeping your team, agents, and data on one page”
Compendium launched on Product Hunt on July 8th, 2026 and earned 111 upvotes and 19 comments, placing #16 on the daily leaderboard. Compendium is a company brain for teams working with AI agents. With compendium, all your agents share one memory, so knowledge, decisions, and context are available to everyone, everywhere, instantaneously. Compendium allows you to work in shared sessions where you and your teammates' agents build on the same context instead of siloed threads, get summaries of what changed while you were away (without digging), and have a live view of what your teammates and their agents are building right now.
Compendium was featured in Productivity (655.7k followers), SaaS (43k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 299.5k products, making this a competitive space to launch in.
Who hunted Compendium?
Compendium was hunted by Garry Tan and Jonathan Waldorf. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Compendium stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan,
Jonathan Waldorf
Hi Product Hunt 👋 I'm Jonathan, co-founder of Cerenovus (YC S26). A few months ago, my friends and I were building the product we wanted to use: a personal “second brain” to collect and organize the information we collected across our busy lives. Then, after talking to a few companies, we figured out that organizing information across an entire business was a way bigger problem that we now had the solution for.
Compendium is the version of that solution that we’ve built specifically for startups, especially AI-native tokenmaxxers like ourselves. (:D)
If you’ve ever built a feature only to find that your teammate has built an identical one, or made an architectural decision only to have a teammate make a conflicting one, this product is for you. Cerenovus doesn’t just help with dev though —¹ it also incorporates information from email, slack and basically everything else, in order to have all your team’s information in one place, linked together and easily navigable by both humans and agents, so there’s something for your GTM team to be happy with too.
¹ (AI will not steal my em dashes)
Tl; dr - we got:
Shared context: everything in one place and always up to date - a single source of truth for your team and your agents
Multiplayer sessions: jump into the same session with a teammate and drive one Claude together, like a Google Doc for AI. (didn’t mention this above, but it’s really cool)
Always in the loop: a live view of what every teammate and agent is working on right now (opt-in, obviously), plus summaries of what changed while you were away.
🎁 Launch day: 50% off with code LAUNCHDAY
👉 Try it: https://cerenovus.app
We're two months old and we know it. We'd rather hear what's broken than what's nice. I'll be in the comments all day answering everything. We ship bug fixes 24/7.