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AI agent memory · GraphRAG

Give AI Agents Connected, Persistent Memory.

Build graph-backed AI applications with a shared knowledge graph for agents and apps — through MCP and APIs, without running complex graph infrastructure.

Knowledge Graph · GraphRAG · MCP · Managed Hosting

Free to start. No credit card required for P2P.

AI needs more than another chat history

Agents forget between sessions. Retrieval returns disconnected chunks. Operating graph infrastructure steals time from the application you are building.

Agents forget

Keep useful entities, claims, and relationships available across sessions.

RAG chunks disconnect context

Represent how people, events, documents, and decisions relate — not only which text looks similar.

Graph operations get complex

Use a managed option, or run your own peer, without coupling graph truth to one database host.

Why Kotobase?

Persistent memory

Give agents memory that survives the session instead of isolating knowledge in chat history.

Connected context

Store and query entities, claims, and relationships instead of only disconnected chunks.

Shared by agents and apps

Expose the same tenant-scoped graph through APIs and MCP.

Traceable answers

Preserve graph state and provenance through content-addressed commits.

Vector search finds similarity. Graphs preserve relationships.

Traditional RAG is useful for finding related passages. Graph-backed AI adds explicit entities, claims, and relationships so an agent can follow connected context.

Traditional RAG

  1. Documents
  2. Chunks
  3. Vector search
  4. LLM

Graph-backed AI with Kotobase

  1. Documents · Apps · Data
  2. Knowledge graph
  3. Entities · Claims · Relationships
  4. API · MCP
  5. Apps · AI agents

Kotobase complements retrieval; it does not claim that every workload should replace vector search.

One connected context layer

Apps · Documents · Data
Kotobase Knowledge Graph
API · MCP
Apps · AI Agents

Tenant-scoped

Applications and agents access the graph within the same tenant identity boundary.

Content-addressed

Signed immutable commit CIDs make the selected graph state explicit and reproducible.

Client-contributed

Clients can query, cache, compute, and contribute verified CID-addressed results.

Connect your graph to AI agents through MCP

Give agents a graph tool surface without building one-off retrieval glue for every application.

Your Data
Kotobase Knowledge Graph
API · MCP
Apps · AI Agents

MCP endpoint

https://kotobase.net/mcp

Tools are generated from the same published lexicons used by the application API.

Build GraphRAG on explicit relationships

Model entities

Represent the people, products, organizations, documents, and events your application reasons about.

Preserve claims

Keep assertions and their graph context available across sessions and applications.

Traverse relationships

Use Datalog, SPARQL, or Cypher-style query surfaces for the shape of query you need.

Reproduce context

Bind work to content-addressed graph commits instead of an implicit mutable database state.

Looking for a practical Neo4j alternative?

Kotobase is an option to evaluate when you want a knowledge graph for agents and applications, MCP access, managed hosting, or content-addressed provenance.

Verified Kotobase evaluation factors
Evaluation factor Kotobase
Start Free P2P option; no credit card required
Agent access MCP
Knowledge graph Yes
Managed option Yes — Secure Managed
Query Datalog, SPARQL, and Cypher-style
Provenance Content-addressed commit CIDs
Self-managed option Yes — run your own peer

Migration fit, stated precisely

Kotobase is not presented as wire-compatible with Neo4j. Evaluate your data model, query surface, agent integration, and operational requirements before migrating. This page makes no unverified price or performance superiority claim.

Quickstart

1. Start free

Create a tenant-scoped P2P graph. No credit card is required for P2P.

2. Connect an app or agent

Use the API or point an MCP-capable agent at https://kotobase.net/mcp.

3. Ingest and query

Write entities, claims, and relationships, then query the same tenant-scoped graph from agents and applications.

Developer details

ipfs pin remote service add kotobase https://kotobase.net <JWT>
ipfs pin remote add --service=kotobase --name=my-doc <cid>
ipfs pin remote ls  --service=kotobase

Authenticate writes and tenant operations with a gftd-AUTHN JWT (Bearer) or self-signed CACAO. Public exact-CID reads are live at /ipld/:cid; canonical queries select an explicit signed commit CID rather than a mutable database head. Built on kotoba.

Choose the plan that fits how you operate

Start with P2P for experiments and self-managed projects. Choose Secure Managed when a production team wants Kotobase operated for them. Use Enterprise for regulated and mission-critical workloads.

P2P

¥0

Developers, self-hosters, researchers, and peers federating their own kotoba node.

You carry operational risk

Run your own peer, or use the shared endpoint as-is. No operator responsibility.

  • Availability: No availability commitment
  • Support: Public docs and repository issues
  • Included: 512 MiB, 50 pins on the shared endpoint; unmetered on your own peer

Operational responsibility details

The operator accepts no responsibility on this plan. The service is provided "as is" and "as available" with no availability commitment, no service credits, no incident-response obligation, no recovery objective, and no support obligation. You run your own peer, or you accept the shared endpoint's best-effort behaviour and design your application to tolerate it.

Secure Managed

¥19,800 / month

Teams and production applications that need someone accountable for uptime and data handling.

Gftd Japan K.K. is responsible

Gftd Japan K.K. operates it and is accountable for it. 99.9% SLA with service credits.

  • Availability: 99.9% monthly SLA
  • Support: Email support · 1 business day · Business hours, JST
  • Included: 500 GiB, 10,000 pins included; usage expansion beyond that

Operational responsibility details

Gftd Japan K.K. carries operational responsibility on this plan: it operates, monitors, patches, and recovers the service; it commits to a 99.9% monthly availability SLA backed by service credits; it acknowledges customer-reported incidents within one business day; and it holds itself to the published data-handling and security boundary. Availability is measured by the daily SLO gate, whose receipts are committed to the repository.

Enterprise

Custom contract

Financial, medical, government, and enterprise data teams under audit or regulatory obligation.

Gftd Japan K.K. is responsible under contract

99.999% SLA, SOC 2-class compliance response, dedicated infrastructure. By contract.

  • Availability: 99.999% monthly SLA (by contract)
  • Support: Named technical account manager, dedicated escalation channel · 15 minutes for P1, 2 hours for P2 · 24x7
  • Included: Contracted capacity on dedicated infrastructure

Operational responsibility details

Gftd Japan K.K. carries operational responsibility on the terms of a signed enterprise contract, which can exceed the published ones: a 99.999% monthly availability SLA with a service-credit schedule, 24x7 named support with a 15-minute P1 acknowledgement, dedicated tenant and infrastructure, counsel-approved privacy terms where available, data-residency commitments, customer-held key custody, read audit, and agreed retention and deletion policy. These commitments attach to the dedicated deployment the contract provisions; they are not offered on the shared production endpoint.

SLA and operational responsibility details

The binding version of these statements is the Terms of Service (§6 plans, §7 service levels, §8 limitation of liability); the engineering detail is in docs/PLANS.md.

Enterprise trust and security

99.999% availability SLA

A 26-second monthly error budget, with service credits: below 99.999% → 10% of the monthly fee; below 99.99% → 25% of the monthly fee; below 99.9% → 50% of the monthly fee; below 99.0% → 100% of the monthly fee, plus termination for cause without penalty.

Available only by signed contract on a dedicated deployment that clears the readiness gates in docs/PLANS.md; it is not offered on the shared endpoint.

Privacy and compliance response

Available today: Security questionnaire and audit response.

Legal review required: Data Processing Addendum (DPA), Business Associate Agreement (BAA). These are not available for execution until qualified counsel approves them.

In preparation: SOC 2 Type II, ISO/IEC 27001, ISMAP (Japan government cloud registration). No report or certificate has been issued yet.

Dedicated deployment

Data residency (in-jurisdiction cold pins); Read audit (universal read receipts); Customer-held key custody (HYOK/KMS).

Support

Named technical account manager, dedicated escalation channel · 15 minutes for P1, 2 hours for P2 · 24x7

More ways to use Kotobase

Obsidian → Knowledge Graph

Keep Obsidian as your local-first writing space and Markdown as the source of truth. Sync notes, frontmatter, and [[wikilinks]], then query the vault as a graph.

Content-addressed durability

Pinned commit blocks can be archived as CAR files to an S3-compatible immutable object store. Providers improve availability but do not choose graph truth.

Frequently asked questions

Is Kotobase only for AI agents?

No. Applications and agents can query the same tenant-scoped knowledge graph through APIs and MCP.

Does Kotobase replace vector search?

Not necessarily. Vector search finds similar content; a knowledge graph preserves explicit entities, claims, and relationships. They can be used together.

Is Kotobase compatible with Neo4j?

Kotobase offers a Cypher-style query surface, but this page does not claim wire compatibility. Validate your schema and queries before migrating.

Can I start without a credit card?

Yes. The P2P plan has no payment checkout. Secure Managed is a paid self-serve subscription; Enterprise is contract-led.

Docs

Give your agents context that lasts.

Start with a connected knowledge graph for agents and applications.