Company Brain for AI agents, Fragmented communication and data of a company which is left on channels Emails, Slacks, WhatsApp and LinkedIn connect it all in one place with approval layer attach so personal and works chats don't gets mixed and connect it with any ai agents simultaneously, where records are keep getting updated minutes by minutes and so AI agents are getting updated as well so use AI agents with less cost of context and don't have to repeat.
Some build knowledge graphs. Some create automation pipelines with n8n or Zapier.
Some use RAG connectors and custom memory systems.
The pattern was surprisingly consistent.
The real problem is Claude doesn't know what's happening minute to minute people said use an API or connect it manually. But then you're still feeding it everything including the useless stuff so we added an approval layer you decide what goes to AI combined with MCP, no need for Make, Zapier, or n8n it just works.
And what's the output
AI agents 10x better, knows what's happening minutes by minutes + no daily updates
About FlowTask 2.0 on Product Hunt
“Company brain for AI Agents”
FlowTask 2.0 launched on Product Hunt on July 28th, 2026 and earned 132 upvotes and 13 comments, placing #9 on the daily leaderboard. Company Brain for AI agents, Fragmented communication and data of a company which is left on channels Emails, Slacks, WhatsApp and LinkedIn connect it all in one place with approval layer attach so personal and works chats don't gets mixed and connect it with any ai agents simultaneously, where records are keep getting updated minutes by minutes and so AI agents are getting updated as well so use AI agents with less cost of context and don't have to repeat.
On the analytics side, FlowTask 2.0 competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how FlowTask 2.0 performed against the three products that launched closest to it on the same day.
Who hunted FlowTask 2.0?
FlowTask 2.0 was hunted by Bibhash Dutta. 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.
A company brain for AI agents (the question is why)
So I posted one simple question on Reddit about a frustration I have while using AI.
got 8.5k views in 5hrs with 45+ comments
Almost nobody said the problem didn't exist, instead everyone shared their own workaround.
Some use Chatgpt Projects. Some maintain PROJECT.md or CLAUDE.md files.
Some build knowledge graphs. Some create automation pipelines with n8n or Zapier.
Some use RAG connectors and custom memory systems.
The pattern was surprisingly consistent.
The real problem is Claude doesn't know what's happening minute to minute people said use an API or connect it manually. But then you're still feeding it everything including the useless stuff so we added an approval layer you decide what goes to AI combined with MCP, no need for Make, Zapier, or n8n it just works.
And what's the output
AI agents 10x better, knows what's happening minutes by minutes + no daily updates