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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.”
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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.
Kumiho Memory was featured in Productivity (663.6k followers), Developer Tools (521.5k followers), Artificial Intelligence (481.6k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 422.9k products, making this a competitive space to launch in.
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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?