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Kumiho Memory
Shared memory for agent teams, with the why intact
Kumiho is a belief-based cognitive memory layer for teams running agents across functions. It preserves shared context, decisions, code_why, and how beliefs change—so every agent can build on the team's reasoning instead of starting from isolated chat history.
Hi Product Hunt! Kumiho starts from a different premise: AI memory should hold beliefs that evolve, not just facts to retrieve.
When evidence changes, memory should preserve the earlier belief, record why it changed, and connect decisions that may need a second look. That is the foundation of Kumiho’s belief-based cognitive memory system.
• Decision Memory keeps choices with alternatives, rationale, and evidence.
• code_why traces a code change back to the decision behind it.
• Decomposition links facts and relationships so context stays traceable over time.
We formalize this architecture in our arXiv paper, “Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures.”
What should your AI remember about how a decision changed?
About Kumiho Memory on Product Hunt
“Shared memory for agent teams, with the why intact”
Kumiho Memory was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #108 on the daily leaderboard. Kumiho is a belief-based cognitive memory layer for teams running agents across functions. It preserves shared context, decisions, code_why, and how beliefs change—so every agent can build on the team's reasoning instead of starting from isolated chat history.
On the analytics side, Kumiho Memory competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Kumiho Memory performed against the three products that launched closest to it on the same day.
Who hunted Kumiho Memory?
Kumiho Memory was hunted by Kumiho Inc. 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.
For a complete overview of Kumiho Memory including community comment highlights and product details, visit the product overview.
Kumiho Inc
Hi Product Hunt! Kumiho starts from a different premise: AI memory should hold beliefs that evolve, not just facts to retrieve.
When evidence changes, memory should preserve the earlier belief, record why it changed, and connect decisions that may need a second look. That is the foundation of Kumiho’s belief-based cognitive memory system.
• Decision Memory keeps choices with alternatives, rationale, and evidence.
• code_why traces a code change back to the decision behind it.
• Decomposition links facts and relationships so context stays traceable over time.
We formalize this architecture in our arXiv paper, “Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures.”
https://arxiv.org/abs/2603.17244
The memory library and plugins are open source; Kumiho Cloud is the managed service. Watch our 47-second demo, explore the plugins, or get started:
https://kumiho.io
https://github.com/KumihoIO/kumi...
What should your AI remember about how a decision changed?