Open-source bitemporal knowledge graph — long-term memory for AI agents. Hybrid retrieval, conflict-aware ingest, GDPR forget. REST + native MCP.
- ✓Open-source license (AGPL-3.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Install pipes a remote script into a shell (curl | sh)
git clone https://github.com/inite-ai/inite-brain-service && cp inite-brain-service/*.md ~/.claude/agents/6 items in this repository
How to query the INITE Brain knowledge graph across time — the asOf parameter, validFrom/validUntil semantics, reading retracted facts, and the memory_diff "what changed between two cursors" surface. Use when the user's question has a temporal dimension ("on X date", "before Y", "what's new since last conversation").
How to detect and resolve conflicting beliefs in the INITE Brain knowledge graph — the COMPETING fact status, get_competing_facts, detect_contradiction preflight, and the human-in-the-loop adjudication workflow. Use when the timeline shows two facts disagreeing on the same predicate, or when an agent needs to decide what to record without making the disagreement worse.
Walk a developer through connecting a fresh MCP client (Claude Desktop, Cursor, Goose v2, Aider, Continue.dev, n8n, or a raw @modelcontextprotocol/sdk client) to the INITE Brain service. Covers obtaining an API key, the per-tenant URL shape, config snippets per client, the scope matrix for all 14 brain tools, and the smoke test. Use when the user says "add brain MCP", "connect brain to Claude", "set up brain for Cursor", or names any MCP-capable client.
Recall everything brain knows about one specific entity — current profile, full bitemporal timeline, graph neighbours, and unresolved disagreements. Use when the user names a person/company/thing and asks "tell me about them", "what's their history", or "what do we still disagree about?". For a single-shot LLM briefing without three round-trips, reach for summarize_entity instead.
Semantic search over the INITE Brain knowledge graph via the search_knowledge MCP tool. Use when the user wants to find facts, entities, or evidence about people/companies/objects in their tenant, especially when the question is fuzzy or natural-language. Supports bitemporal "as of" queries.
How to write to the INITE Brain knowledge graph from an agent loop — record_fact, link_entities, retract_fact, and the detect_contradiction preflight. Covers confidence picking, retract vs forget semantics, identity_of cycle-guards. Use when the user explicitly wants to record, merge, or revise structured knowledge from a conversation (not when they're just asking a question).
Subagents overview
<p align="center">
<a href="https://brain.inite.ai">
<img src="https://brain.inite.ai/api/og?title=Memory%20with%20context&kind=brand" alt="INITE Brain — memory with context" width="100%">
</a>
</p>
<h1 align="center">INITE Brain</h1>
<p align="center">
<b>Open-source memory for AI agents.</b><br>
Facts, conversations, events and their evidence — connected across sessions.<br>
Temporal history, domain memory models and grounded answers over REST and MCP.
</p>
<p align="center">
<a href="https://github.com/inite-ai/inite-brain-service/actions/workflows/ci.yml"><img src="https://github.com/inite-ai/inite-brain-service/actions/workflows/ci.yml/badge.svg" alt="CI"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-AGPL--3.0--or--later-blue.svg" alt="License: AGPL-3.0-or-later"></a>
<a href="https://github.com/inite-ai/inite-brain-service/stargazers"><img src="https://img.shields.io/github/stars/inite-ai/inite-brain-service?style=flat" alt="Stars"></a>
<a href="CONTRIBUTING.md"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg" alt="PRs welcome"></a>
<img src="https://img.shields.io/badge/TypeScript-3178c6.svg" alt="TypeScript">
<img src="https://img.shields.io/badge/MCP-native-ffb938.svg" alt="MCP native">
</p>
<p align="center">
<a href="https://brain.inite.ai/en/app/keys"><img src="https://img.shields.io/badge/Claude%20Code-%2Fplugin%20install-d97757.svg" alt="Install in Claude Code"></a>
<a href="cursor://anysphere.cursor-deeplink/mcp/install?name=brain&config=eyJ1cmwiOiJodHRwczovL2JyYWluLmluaXRlLmFpL21jcCIsInRyYW5zcG9ydCI6Imh0dHAiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgYnJhaW5fWU9VUl9BUElfS0VZIn19"><img src="https://img.shields.io/badge/Add%20to-Cursor-000000.svg" alt="Add to Cursor"></a>
<a href="vscode:mcp/install?%7B%22name%22%3A%22brain%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fbrain.inite.ai%2Fmcp%22%2C%22headers%22%3A%7B%22Authorization%22%3A%22Bearer%20brain_YOUR_API_KEY%22%7D%7D"><img src="https://img.shields.io/badge/Add%20to-VS%20Code-0098ff.svg" alt="Add to VS Code"></a>
<a href="https://registry.modelcontextprotocol.io/v0/servers?search=inite-brain"><img src="https://img.shields.io/badge/MCP%20Registry-io.github.inite--ai-ffb938.svg" alt="MCP Registry"></a>
</p>
<p align="center">
<a href="https://brain.inite.ai">Website</a> ·
<a href="#architecture">Architecture</a> ·
<a href="#domain-packs">Domain Packs</a> ·
<a href="#quick-start">Quick start</a> ·
<a href="https://brain.inite.ai/en/docs">Docs</a> ·
<a href="AGENTS.md">Agent guide</a>
</p>
Brain gives an agent memory between conversations: what was said, what changed,
which entities are involved, and what supports an answer. A bitemporal graph
stores structured facts and relationships; source episodes preserve context;
scenes and beliefs capture events and evolving state. **Domain Packs** adapt
that memory to a product's vocabulary and lifecycles without forking the engine.
Run Brain on your infrastructure or connect to the hosted service at
[brain.inite.ai](https://brain.inite.ai). The web app provides memory search and
exploration; REST and MCP provide the integration surface.
## Why Brain
- **Memory with its context.** Retrieve structured facts, source passages and,
when enabled, scenes and beliefs. Follow provenance back to the supporting
conversation, document or evidence fragment.
- **Changes stay inspectable.** Facts carry valid time and knowledge time.
Updates can supersede earlier facts; unresolved disagreements remain
`COMPETING`. Retraction preserves history; administrative forgetting deletes
associated records and leaves tombstones.
- **A model of your domain.** Packs define typed predicates, extraction
guidance, scene schemas, state transitions, verification and retention hints,
and optional media capabilities and MCP tools.
- **Scope is explicit.** Each tenant has a separate database. Personal memory
uses `userId`; omitting it selects tenant-global memory. Key scopes, ABAC
policies and PII controls further constrain access.
- **Answers can be checked.** Hybrid search, graph retrieval and multi-hop
gather evidence. Synthesis cites it and runs verification; strict guardrails
can abstain when support is insufficient.
## Architecture
Brain separates source material, derived memory and the read path. This is a
conceptual view; individual ingestion routes and retrieval profiles activate
different parts of it.
```mermaid
flowchart LR
input["REST / MCP<br/>conversations · documents · facts"]
raw[("Source records<br/>documents · episodes · evidence")]
derive["Indexers and scene builders<br/>candidates · entity resolution · conflicts"]
memory[("Connected memory on SurrealDB<br/>facts + graph · scenes · beliefs")]
retrieve["Retrieval<br/>semantic + lexical · graph · multi-hop"]
answer["Synthesis + verification<br/>answer with citations or abstention"]
packs["Domain Packs<br/>vocabulary · memoryModel · tools"]
media["Evidence registration / upload<br/>scan hook · trusted processors"]
input --> raw
input --> derive
media --> raw
raw --> derive
derive --> memory
memory --> retrieve
raw --> retrieve
retrieve --> answer
packs -. "domain configuration" .-> derive
packs -. "capabilities and consent" .-> media
```
| Memory layer | What it preserves |
| --- | --- |
| **Facts and entities** | Typed claims, canonical entities, relationships, confidence, source attribution and temporal history. |
| **Episodes** | Source turns and conversation context that derived memory can point back to or be rebuilt from. |
| **Scenes** | Bounded events with gists, entities, state changes and source links. Optional gist embeddings and a scene retrieval lane make them searchable alongside other evidence. |
| **Beliefs** | Derived state with revision history and supporting scenes. Pack-projected state deltas can feed belief promotion. |
| **Evidence** | Assets, located fragments, processing runs and derived representations, with links to the memories they support. |
**Rebuildable memory.** Derived worlds can be rebuilt from retained episodes in
a staging version. Readers stay pinned to the previous world until promotion.
Scene maintenance can process dirty conversations on a schedule, with budgets,
leases and metrics; it can compose scenes and promote supported beliefs.
**Configurable retrieval.** Retrieval profiles select mechanisms for the corpus
and question. Semantic and lexical search, graph expansion, reranking, raw
passages, scene retrieval and belief retrieval are distinct capabilities. A
known entity can enter through `graph_retrieve`; a question spanning
relationships can use `search_multi_hop`.
**Separate serving and background work.** The NestJS service uses a
SurrealDB-backed job queue, leases and worker-thread offloads. Run the image as
one process or split `PROCESS_ROLE=api|worker`; see the
[operations guide](docs/operations.md#splitting-api-and-worker-roles).
The code includes capabilities that are **opt-in**, not a promise that every
installation runs every layer. Scene construction, scene serving, belief
promotion, evidence upload/processing and pack projections have separate gates.
Check the [architecture](docs/architecture.md), [operations](docs/operations.md)
and flag definitions for [scenes](src/common/scene-flags.ts),
[evidence](src/common/evidence-flags.ts) and
[pack projections](src/common/pack-projection-flags.ts) when enabling them.
## Domain Packs
A pack is a versioned JSON manifest installed per tenant. It tells the engine
how to interpret a domain's material. Pack-derived observations remain
candidates for the core pipeline to validate and resolve.
| A pack can declare | Purpose |
| --- | --- |
| `predicates` | Typed vocabulary, value constraints, conflict semantics, decay and PII classes. |
| `extractionProfile`, `evalFixtures` | Domain instructions, examples and extraction checks. |
| `memoryModel` | Scene schemas, state models and transitions, attention hints, verification rules and advisory retention hints. Also declares supported modalities, requested processor capabilities and raw-evidence policy. |
| `indexer`, `seedDocuments` | Participation in document indexing and knowledge supplied with the pack. |
| `mcpTools` | Additional agent tools, subject to explicit operator consent. |
The [industry pack library](packs) includes:
| Pack | Example memory models |
| --- | --- |
| [`real_estate`](packs/real-estate.pack.json) | Listings, tenancies and permits. |
| [`fintech`](packs/fintech.pack.json) | Licenses and certifications. |
| [`medical`](packs/medical.pack.json) | Drug ontology, prescription and approval lifecycles. |
| [`legal`](packs/legal.pack.json) | Agreements, obligations and legal matters. |
| [`insurance`](packs/insurance.pack.json) | Policy and claim lifecycles. |
| [`hr`](packs/hr.pack.json) | Positions and employee lifecycles. |
For example, `real_estate` declares the listing path
`listed → under_offer → sold`, as well as withdrawal and return-to-market
transitions. It distinguishes viewing and closing scenes, with an ephemeral
retention hint for a viewing and a durable hint for a closing.
The built-in [`code_memory`](src/ai/domain-packs/code-memory.pack.ts) pack covers
engineering decisions, rationale, invariants, gotchas and change lifecycles.
Use `record_decision`, `why` and `recall_decisions` to retain the reasons behind
the code. The six industry packs are distributable; built-in code memory is
part of the core seed.
**Author and distribute.** Scaffold with `pnpm pack:init my_pack`, validate,
optionally sign, publish to a registry and install per tenant. Registry versions
are immutable, installs are checksum-pinned, and signature requirements follow
the server's trust policy. Registry and marketplace support discovery,
publisher profiles, mirroring and optional billing.
**Consent is part of installation.** The current first-party What people ask about inite-brain-service
What is inite-ai/inite-brain-service?
+
inite-ai/inite-brain-service is subagents for the Claude AI ecosystem. Open-source bitemporal knowledge graph — long-term memory for AI agents. Hybrid retrieval, conflict-aware ingest, GDPR forget. REST + native MCP. It has 36 GitHub stars and its last recorded update is dated 2026-09-11.
How do I install inite-brain-service?
+
You can install inite-brain-service by cloning the repository (https://github.com/inite-ai/inite-brain-service) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is inite-ai/inite-brain-service safe to use?
+
Our security agent has analyzed inite-ai/inite-brain-service and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains inite-ai/inite-brain-service?
+
inite-ai/inite-brain-service is maintained by inite-ai. The last recorded GitHub activity is dated 2026-09-11, with 6 open issues.
Are there alternatives to inite-brain-service?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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