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?
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.
On the analytics side, Pensieve competes within SaaS, Developer Tools, Artificial Intelligence and Business Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Pensieve performed against the three products that launched closest to it on the same day.
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.
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?