AI agents are getting smarter, but they still don't understand your business. Every conversation starts with copy-pasting context and re-explaining the backstory. MCP gives agents tool access. Pensieve gives them understanding. We connect your tools and build a living picture of your organisation. People, projects, decisions, customers and how they all relate. Agents reason over the full picture and surface what nobody sees alone. Free. Bring your own Anthropic, OpenAI or Google inference.
Hey Product Hunt! I'm Euan, co-founder of Pensieve.
AI agents are incredibly intelligent but they don't understand your business. You can give an agent access to your tools via MCP, and it can pull data from Slack or Linear. But that's not the same as understanding. A new hire can access your Slack too. It doesn't mean they know what's going on.
What makes an employee effective isn't tool access. It's the context they build up over months and years. Who's working on what, why that decision was made in January, how the sales pipeline connects to the engineering roadmap, which customer relationships matter. That's what lets them make good judgment calls.
We built Pensieve to give AI agents that same understanding. We connect to the tools you already use, but we don't just make them searchable. Think about the difference between a raw codebase and a well-maintained CLAUDE.md. One is searchable data, the other is understanding. Pensieve curates and distils your company knowledge into a format AI natively understands, so an agent can operate like a fully onboarded employee, with the intelligence of a frontier model.
Once agents have that depth of context, they can work in the background and surface things no single person catches. Connecting what customers say on calls with what engineers discuss on Slack with what the usage data actually shows.
Pensieve is free. Bring your own Anthropic, OpenAI, or Google inference. No platform fee, no credit card.
What's the biggest limitation you've hit trying to get AI agents to actually work in your business?
hey! looks nice! but is it really different from memory tools like Mem0? because these tends to create lots of isolated notes, which creates more problems than they solve (outdated and duplicated content, ..) ; at least, based on my experience
Cool concept! We've been planning to build a contextual knowledge base internally, so this caught my attention.
Quick question though: how do you handle role-based access control? We have context that should only surface for Project Managers (client budgets, escalation notes) and other stuff that's strictly Leadership-level. If everything gets ingested into one knowledge graph, how do you prevent the agent from leaking restricted context to someone who shouldn't see it?
Hey PH! James here, co-founder of Pensieve.
We're heavy Claude users, and the thing that transformed our coding workflow wasn't better search over our codebase — it was maintaining architecture files. A good CLAUDE.md means an agent drops into a session already understanding what the codebase does, what the product goals are, and how everything fits together. It doesn't need to grep through every file to build that picture from scratch each time.
Most AI-for-business tools today are search layers. They let agents query your underlying data, which is useful, but it's the equivalent of giving a new developer grep access and calling them onboarded. What's missing is the pre-researched, maintained understanding — the business equivalent of those architecture docs.
That's what we're building. Pensieve connects to your tools and continuously maintains a living knowledge graph of your organisation. People, projects, customers, decisions, and how they all relate. So when an agent starts a conversation, the context is already there — not searched for, already understood.
Would love to hear what integrations you'd want first — that's what we're prioritising next.
About Pensieve on Product Hunt
“Full company context for every AI agent”
Pensieve launched on Product Hunt on March 29th, 2026 and earned 138 upvotes and 9 comments, placing #8 on the daily leaderboard. AI agents are getting smarter, but they still don't understand your business. Every conversation starts with copy-pasting context and re-explaining the backstory. MCP gives agents tool access. Pensieve gives them understanding. We connect your tools and build a living picture of your organisation. People, projects, decisions, customers and how they all relate. Agents reason over the full picture and surface what nobody sees alone. Free. Bring your own Anthropic, OpenAI or Google inference.
Pensieve was featured in SaaS (41.5k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and Business Intelligence (3.4k followers) on Product Hunt. Together, these topics include over 193.9k products, making this a competitive space to launch in.
Who hunted Pensieve?
Pensieve was hunted by Euan Cox. 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 Pensieve stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Euan Cox
Hey Product Hunt! I'm Euan, co-founder of Pensieve.
AI agents are incredibly intelligent but they don't understand your business. You can give an agent access to your tools via MCP, and it can pull data from Slack or Linear. But that's not the same as understanding. A new hire can access your Slack too. It doesn't mean they know what's going on.
What makes an employee effective isn't tool access. It's the context they build up over months and years. Who's working on what, why that decision was made in January, how the sales pipeline connects to the engineering roadmap, which customer relationships matter. That's what lets them make good judgment calls.
We built Pensieve to give AI agents that same understanding. We connect to the tools you already use, but we don't just make them searchable. Think about the difference between a raw codebase and a well-maintained CLAUDE.md. One is searchable data, the other is understanding. Pensieve curates and distils your company knowledge into a format AI natively understands, so an agent can operate like a fully onboarded employee, with the intelligence of a frontier model.
Once agents have that depth of context, they can work in the background and surface things no single person catches. Connecting what customers say on calls with what engineers discuss on Slack with what the usage data actually shows.
Pensieve is free. Bring your own Anthropic, OpenAI, or Google inference. No platform fee, no credit card.
What's the biggest limitation you've hit trying to get AI agents to actually work in your business?