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Turn company knowledge intoTurn company knowledgeinto
AIModusBrainexecutable skills

ModusBrain compiles your policies, runbooks, and wikis into approved, versioned operational skills that AI agents execute consistently, with human oversight and a full audit trail.

Install ModusBrain联系我们
$npm install -g @genthropic/modusbrain
ModusBrainExample workspace — not live data
Skills
FilterSortOptions
Skill
Confidence
Compiled By
Risk Tier
Status
Runs/Mo
Docs
Category
Lead Reviewer
Runs/Day
Runbooks
Added
R
Refund Handler
95%
JC
Jane Cooper
High Stakes
Approved
12,400
refund-handler
Finance Ops
JC
Jane Cooper
412
R
Refund Escalation
Jul 1, 2026
U
User Provisioner
88%
AK
Alex Kim
High Stakes
Pending Approval
8,200
user-provisioner
Identity & Access
MT
Maria Torres
274
A
Access Review
Jul 3, 2026
L
Lead Scorer
78%
DP
Devon Park
Low Stakes
Approved
31,800
lead-scorer
Revenue Ops
PN
Priya Nair
1,060
Q
Qualification Run
Jul 5, 2026
C
Compliance Auditor
92%
API
API - Key name
Informational
Pending Approval
5,600
compliance-auditor
Compliance
SR
Sam Reyes
187
S
SOC2 Audit
Jul 8, 2026
I
Invoice Processor
94%
WF
Workflow name
High Stakes
Approved
19,100
invoice-processor
Finance Ops
LC
Leo Chen
637
AP
AP Approval
P
PO Match
Jul 12, 2026
S
Support Triage
91%
NW
Nora Whitfield
Low Stakes
Approved
9,300
support-triage
Customer Support
EB
Ethan Brooks
310
E
Escalation Path
Jul 14, 2026
D
Data Enricher
89%
RM
Ravi Malhotra
Informational
Approved
47,800
data-enricher
Data Ops
CL
Casey Lin
1,593
E
Enrich Run
Jul 15, 2026
C
Contract Reviewer
86%
JL
Jordan Lee
Low Stakes
Approved
18,000
contract-reviewer
Legal Ops
JL
Jordan Lee
600
M
MSA Review
Jul 17, 2026
D
Deployment Monitor
97%
TV
Taylor Vance
High Stakes
Pending Approval
64,000
deployment-monitor
DevOps
TV
Taylor Vance
2,133
A
Alert Triage
Jul 20, 2026
E
Email Drafter
93%
MW
Morgan West
Low Stakes
Approved
22,400
email-drafter
Comms Ops
MW
Morgan West
747
O
Outbound Campaign
Jul 21, 2026
R
Report Builder
85%
CL
Casey Lopez
Informational
Pending Approval
11,250
report-builder
Analytics
RW
Robin Wu
375
W
Weekly Digest
Jul 23, 2026
R
Risk Classifier
84%
RM
Reese Miller
High Stakes
Approved
33,800
risk-classifier
Security
PL
Parker Lopez
1,127
T
Threat Scan
Jul 24, 2026
P
Policy Enforcer
96%
SYS
System
Low Stakes
Approved
7,900
policy-enforcer
Governance
PW
Peyton Ward
263
P
Policy Sync
Jul 25, 2026
O
Onboarding Agent
90%
SP
Sunny Patel
Informational
Pending Approval
55,200
onboarding-agent
Platform Ops
SP
Sunny Patel
1,840
U
User Journey
S
Seat Activation
T
Trial Conversion
Jul 1, 2026 2:25 pm
Calculate

Compile a refund policy into an operational skill with confidence gating, human-in-the-loop approval for high-risk transactions, and a full audit trail.

…my-modusbrain-app/src/constants/schema-identifiers.ts

+84-0
1export const SCHEMA_IDS = {
2 rocket: { object: '733956fd-…', fields: { launches: '5b877c2a-…' } },
3 launch: { object: 'e7f1e750-…', fields: { rocket: '42c9106f-…' } },
4 payload: { object: '16ffcc45-…', fields: { customer: 'd84468aa-…' } },
5 launchSite: { object: '2f18d525-…', fields: { launches: 'b94b7f00-…' } },
79 unmodified lines

…my-modusbrain-app/src/objects/launch.object.ts

+237-0
1import { defineObject, FieldType, RelationType } from 'modusbrain-sdk';
3export default defineObject({
4 nameSingular: 'launch',
5 labelSingular: 'Launch', labelPlural: 'Launches',
6 icon: 'IconRocket',
7 fields: [
8 { name: 'missionCode', type: FieldType.TEXT, isUnique: true },
9 { name: 'status', type: FieldType.SELECT, options: [ … ] },
10 { name: 'plannedLaunchAt', type: FieldType.DATE_TIME },
11 { name: 'rocket', type: FieldType.RELATION, relationType: RelationType.MANY_TO_ONE },
226 unmodified lines

…my-modusbrain-app/src/objects/payload.object.ts

+198-0
1import { STANDARD_OBJECT } from 'modusbrain-sdk';
4 { name: 'payloadType', type: FieldType.SELECT },
5 { name: 'customer', type: FieldType.RELATION,
6 relationTargetObjectMetadataUniversalIdentifier: STANDARD_OBJECT.company.universalIdentifier,
7 universalSettings: { relationType: RelationType.MANY_TO_ONE, joinColumnName: 'companyId' },
8 },
190 unmodified lines

…my-modusbrain-app/src/objects/rocket.object.ts

+28-32
140 unmodified lines
141
141 {
142 name: 'launches',
143 type: FieldType.RELATION,
144 relationType: RelationType.ONE_TO_MANY,
145 relationTargetObjectMetadataUniversalIdentifier: SCHEMA_IDS.launch.object,
146 },

…my-modusbrain-app/src/views/upcoming-launches.view.ts

+82-0
1import { defineView, ViewFilterOperand, ViewType } from 'modusbrain-sdk';
3export default defineView({
4 name: 'Upcoming launches',
5 type: ViewType.TABLE,
6 filters: [
7 { fieldMetadataUniversalIdentifier: SCHEMA_IDS.launch.fields.plannedLaunchAt,
8 operand: ViewFilterOperand.IS_IN_FUTURE },
9 ],
73 unmodified lines

…my-modusbrain-app/src/__tests__/schema.integration-test.ts

+412-40
150 unmodified lines
151 expect(application.objects).toHaveLength(1);
151 expect(application.objects).toHaveLength(4);
152 expectObject(application.objects, SCHEMA_IDS.launch.object, 'launch', 'Launch');
153 expectObject(application.objects, SCHEMA_IDS.payload.object, 'payload', 'Payload');
154 expectObject(application.objects, SCHEMA_IDS.launchSite.object, 'launchSite', 'Launch site');
155 expectRelationPair(payloadCustomerField, [payload.object, STANDARD_OBJECT.company.universalIdentifier], [...]);
325 unmodified lines
used by
République FrançaiseBayerPwCWindmillForaWazokuCivicActionsOTIIMANIC IndustriesShiawase Home
open source

问题。

Your AI agents hallucinate, because your knowledge is scattered and unapproved

Agents improvise

When AI executes directly against raw docs and chat responses, it applies policy inconsistently and misuses outdated information.

No paper trail

Without versioned, approved skills and execution logs, you can't audit what your agents did or prove which policy was active at the time.

From scattered docs to executable skills.

Compile once, execute consistently, audit everything

ModusBrain gives your agents a standing operational brain — not one-off chat answers.

Compile from real knowledge

ModusBrain reads your existing policies, runbooks, and wiki pages and compiles them into structured operational skills with version history and provenance tracking.

Head of Operations

ModusBrain user

Gate before agents act

Every skill gets a risk tier. High-stakes actions are blocked for agents until a human approves them — so agents act consistently, not creatively.

Compliance Lead

ModusBrain user

Audit everything, always

Every agent execution is logged — which skill, which version, what confidence score, what happened. Exportable for compliance and dispute resolution.

Legal & Compliance

ModusBrain user

01
02
03

Begin with production-grade agent governance

Compose your operational AI agents, runbook policies, and safety gates with a single unified toolkit: data model, audit logs, and confidence rules.

Audit executions in real-time

Track every agent run, monitor confidence gating scores, and review trigger events as they happen. Tune your thresholds dynamically without interrupting execution.

Stay in control of your AI infrastructure

Don't lock your critical business logic into proprietary model provider APIs. Deploy ModusBrain locally, run verification tests, and version control your rules like standard software.

Policies· 840
Domain
技能
22 字段
技能· 120
Source Policy
Executions
39 字段
Skill Versions· 48
Parent Skill
Policy Snapshot
8 字段
Executions· 64
Skill Version
Agent Context
11 字段
Approvals· 45
Skill
Execution
6 字段
触发器
Skill is Triggered
动作
Evaluate Risk Tier
动作
Match Confidence
动作
AI 代理
动作
Log Telemetry
动作
Request Override Token
动作
Commit Audit Trail
常规
URLrefund.ops.internal
Skill OwnerDario Amodei
Source Policyrefund_policy.md
Gated✓ True
Executions500
工作区
技能
Agents
Executions
Approvals
Audit Notes
Telemetry
Rule Chains▾
Rule Chains
Execution Runs
Rule Versions
+ New skill✧ Evaluate✎ Edit rules
字段
布局
常规
常规完成
Skill Owner·关系
Executions·数字
附加信息
Gated·布尔
添加分区
其他
Version·数字
Source Policy·Text
Activation date·日期和时间
新字段·字段的默认位置/可见性…
添加分区

The architecture that makes agents trustworthy.

Skills your agents execute reliably, every time

Versioned operational skills

Every skill has a version number, edit history, and a record of which source material it was compiled from.

Confidence-gated execution

Agents execute against approved skills, not fresh chat responses. Confidence scores and risk tiers control what runs automatically and what needs a human.

Full action audit trail

Every execution logs the skill name, version, confidence score, and outcome. Export for SOC2-style compliance reviews.

Built for every team.

Operational knowledge that scales with your team

W3villa

Support teams (50–500 agents)

Compile refund and escalation policies once. Every agent — human or AI — executes the same approved version instead of improvising.

阅读案例
AC&T

Fintech and insurance

High-stakes tier and approval tokens for any action involving money or regulated decisions. Conflict queue catches contradictory policy updates before they cause incorrect actions.

阅读案例
NetZero

Legal and compliance

Version history proves exactly which policy was active when an agent took an action — critical for audits and disputes.

阅读案例

1/3

他们才是真正的销售力量

真正产生差异的是这种灵活性。我们的需求变化非常快。我发现一个新需求，只需点两下就能解决。当你在高速前进时，这是真正的优势。

我们不想只是给问题打补丁。我们想构建一些机构能够在大规模下依赖的东西，而这意味着要从足够扎实的基础开始，来支撑我们设想中的全部复杂性。

It is just such a nicer experience than dealing with rigid proprietary governance systems. My mission has been to get every operational process API-accessible via compiled skills, so everything talks to each other. ModusBrain made that possible in a way older systems simply do not.

Shubham Chavan

founder & CEO at Genthropic

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Got questions? We've got answers.

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