AI Agents That Actually Work
Kumiho gives your AI agents persistent memory across sessions, auditable action trails, and accumulated experience from past instructions and tasks — so agentic pipelines stop starting from zero and start delivering real, compounding productivity.
Agents without memory can't be trusted to work
An agent that forgets everything between sessions isn't a worker — it's a calculator. Real agentic productivity requires memory, auditability, and accumulated experience.
Agents start blind every run
No memory of past instructions, decisions, or failures. Every session reinvents the wheel — losing the context that made previous runs successful.
No audit trail
You cannot verify what an agent did, decided, or why. When something goes wrong — or right — there is no record to learn from or defend against.
No accumulated experience
Agents repeat mistakes instead of building on what worked. Without persistent memory, there is no way for the system to improve over time.
Infrastructure for every AI workflow you need to build
Graph-Native SDK & API
Python, Dart, and C++ SDKs built on a rich graph schema, plus a stateless REST API for any client. Spaces, bundles, items, revisions — queryable, traversable, and extensible. Build tools that think in relationships.
Asset Tracking & Full Lineage
Every asset is a revisioned node. Every parent is recorded. Track anything from first draft to final delivery — provenance is a first-class property, not an afterthought.
Autonomous Pipeline Engine
Connect asset and memory events to webhooks, agents, and downstream workflows. Pipelines that drive themselves — no custom glue code, no brittle triggers.
Team Governance & Audit
Role-gated access, SSO/SAML (Okta, Azure AD), full mutation history, and a complete record of every change. SOC2 compliance in progress.
Vast tools you can create on top of the infrastructure
Autonomous Asset Pipelines
Trigger downstream agents and workflows automatically when assets are created, revised, or approved. No glue code required.
AI Agent Memory Systems
Give any agent durable, queryable memory across sessions. Shared context across your entire team — graph-native from the ground up.
Creative Production Tracking
Track every asset from brief to final delivery with full revision history, prompt lineage, and approval chains.
Compliance Audit Infrastructure
Immutable records, role-gated access, and a complete mutation log. Prove exactly what happened, when, and who approved it.
Multi-Agent Orchestration
Coordinate fleets of specialised agents using shared memory and event-driven triggers. Pipelines that route themselves.
Enterprise Knowledge Graphs
Connect documents, decisions, artifacts, and people into a living graph. Query relationships the way your business actually thinks.
Not a bolt-on memory tool
Most tools add memory or storage as an afterthought. Kumiho is a graph-native infrastructure platform built from the ground up for pipelines, lineage, and scale.
Deploy on your terms
Any cloud, any region
Deploy on AWS, GCP, or Azure — in any region you choose. Dedicated kumiho-server on Kubernetes and a dedicated Neo4j instance. No shared infrastructure, no noisy neighbours.
No model training on your data
Your graph is your graph. We never use your data to train models or improve our systems.
On-premises deployment
Run kumiho-server on your own Kubernetes cluster with a dedicated Neo4j Enterprise instance and Redis on-prem. One license key. No shared infrastructure, no other tenants.
Ready to give your agents a memory they can work from?
Let's talk about what productive agentic AI looks like for your team — persistent memory, auditable pipelines, and a system that gets better the more it works.
Or email us at support@kumiho.io
Custom pricing · Annual contracts · Volume licensing