One architecture. Two superpowers.

Assets have history. AI memories should too.

One system for versioning creative work and persistent, auditable memory for your AI assistants.

Free tier available. Start with one folder or one MCP connection.

Creative revision history

AI memory graph

Kumiho browser showing asset revision history

Session Memory

graph-native
  • Preference: cinematic lighting, low contrast
  • Decision: switched to SDXL refiner pass
  • Fact: hero mesh depends on base_rig_v17
  • Reasoning: color grade follows reference board v5

Same graph. Same API. Same provenance guarantees.

Two paths, one architecture

Choose your entry point. Both run on the same graph-native foundation.

Version control for creative work

Track every revision of every asset: models, textures, renders, and AI outputs. Keep full history, attached metadata, and visible dependencies without moving files.

See how it works for creators

Persistent memory for AI agents

Give assistants memory that survives sessions, model upgrades, and context limits. Graph-native, auditable, and decoupled from any single LLM provider.

See how it works for AI
Same graph. Same API. Same provenance guarantees.

How it works

One flow, two applications.

1. Connect

Creative: Point Kumiho at your storage: local disk, NAS, or S3.

AI: Connect via MCP, Python SDK, or REST API.

Shared: Your data stays where it is. Kumiho tracks the history layer.

2. Track

Creative: Every save becomes a revision with prompts, metadata, and parameters attached.

AI: Every decision, preference, and fact becomes a versioned memory node.

Shared: Immutable revisions. Typed dependencies. Full provenance.

3. Query & reason

Creative: Search any version, trace dependencies, and automate on change.

AI: Recall context across sessions, traverse reasoning chains, and consolidate overnight.

Shared: One query surface for history, causality, and impact.

One graph that answers 'what happened, why, and what depends on it.'

The problem isn't storage. It's losing context.

Whether you're tracking creative assets or AI reasoning, the failure mode is the same.

The pain

  • Creative: Versions explode. Metadata disappears. Nobody knows what depends on what.

  • AI: Context windows reset. Memories hallucinate. Decisions have no provenance.

  • Shared: You can't reason about what you can't trace.

The fix

  • Every output becomes a versioned node with metadata attached.

  • Relationships are explicit and typed, not inferred from embeddings alone.

  • History is immutable. Beliefs evolve through revisions, not overwrites.

  • Dream State consolidation runs async: enrich, link, and prune with safety guards.

What makes Kumiho different

LLM-Decoupled Memory

Memory lives in the graph, not a model context window. Switch providers and your history stays intact.

BYO Storage

Raw files stay on your disk, NAS, or S3. Kumiho tracks metadata and pointers with no forced uploads.

Immutable Revisions

Nothing is silently overwritten. Every change creates a new revision with full auditability.

Typed Dependencies

Edges like DEPENDS_ON, DERIVED_FROM, and SUPERSEDES encode why nodes are connected.

Hybrid Retrieval

Full-text, graph traversal, and vector similarity are fused into a single relevance-ranked response.

Dream State

Async consolidation enriches memory, links related items, and prunes noise while protecting published nodes.

40-280x Token Compression

Store summaries in the graph while full content remains local, reducing memory retrieval token cost.

Patent pending. Built on production asset management primitives proven in VFX and game studios.

Designed by pipeline engineers who've shipped production creative workflows, now extended to give AI agents the same rigor.

Sub-10ms graph queries at production scale

40-280x token compression vs raw context

Patent-pending architecture filed with USPTO

Set up in minutes without moving files

How Kumiho compares

A direct view of what is built in versus what needs custom glue.

Creative Asset Management

CapabilityKumihoGit LFSPerforceDAMs (Shotgrid, ftrack)
Files stay on your storageYesNo (repo)No (depot)No (upload)
Typed dependency trackingYesNoNoLimited
Immutable revision historyYesYesYesVaries
AI-generated asset supportNativeNoNoBolt-on
Metadata-first (no file moves)YesNoNoNo

AI Memory

CapabilityKumihoMem0ZepLangGraphRaw vector DB
LLM-decoupledYesNoNoNoYes
Graph-native (not just vectors)YesNoPartialYesNo
Immutable revision historyYesNoNoNoNo
Typed reasoning dependenciesYesNoNoPartialNo
BYO storage (local-first)YesNoNoNoDepends
Async consolidation (Dream State)YesNoNoNoNo
Formal retrieval guaranteesYesNoNoNoNo

Frequently asked questions

Do I need to upload my files?

No. Files stay on your storage. Kumiho stores references, metadata, and revision history.

Can I start small?

Yes. Start with one folder or one MCP connection and expand only when it proves value.

Is my revision history safe?

Yes. Published revisions are immutable and cannot be silently overwritten.

Does Kumiho replace my DAM?

No. Kumiho complements existing DAM systems with versioning, lineage, and graph reasoning.

What file types are supported?

All of them. If you can reference a file, Kumiho can track it.

Is it for individuals or teams?

Both. Individuals use it for recall and reproducibility. Teams use it for governance and shared context.

How is this different from just using a vector database?

Kumiho stores versioned, typed graph nodes with provenance and dependency tracking. Vector similarity is one retrieval mode, not the memory model.

Does my AI's conversation data leave my machine?

Full conversations can stay local as markdown artifacts. Short structured summaries are what sync into the cloud graph.

What happens when I switch LLM providers?

Nothing breaks. Memory is graph-resident and model-agnostic, so history carries across provider and model changes.

What is Dream State?

Dream State is async consolidation that reviews memory, enriches metadata, links related items, and prunes noise with safety guards.

How do I integrate with my AI agent?

Use one MCP tool call or the Python SDK. A single memory_store operation can create item, revision, artifact, and edge relationships atomically.

Ready to give your work and your AI a memory?

Join creators, studios, and AI builders who trust Kumiho to remember what matters.

Free tier available. Start with one folder or one MCP connection.

Kumiho — Version Control for Creative Work & AI Cognitive Memory | Kumiho