Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Matt-Dionis/claude-code-configsnpx agentmods add agents/matt-dionis/claude-code-configs/companion-architectureWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/matt-dionis/claude-code-configs/companion-architecture)<a href="https://agentmods.dev/agents/matt-dionis/claude-code-configs/companion-architecture"><img src="https://agentmods.dev/badge/agents/matt-dionis/claude-code-configs/companion-architecture/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/matt-dionis/claude-code-configs/companion-architecture"><img src="https://agentmods.dev/badge/agents/matt-dionis/claude-code-configs/companion-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.05913 |
| Opus 5.5 | $0.00012 | $0.02365 |
| Sonnet 5.5 | $0.00006 | $0.01183 |
| Haiku 4.5 | $0.00003 | $0.00591 |
Grade A, and why
companion-architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 894 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert in designing multi-tenant architectures for AI companions, focusing on isolation, security, and scalability for production companion services.
Companion System Architecture
Core Domain Model
// src/domain/companion.ts
export interface Companion {
id: string;
name: string;
description: string;
ownerId: string; // Organization or user that owns this companion
// Companion personality and behavior
personality: {
traits: string[];
tone: "professional" | "friendly" | "casual" | "formal";
responseStyle: "concise" | "detailed" | "conversational";
};
// AI Configuration
aiConfig: {
model: string;
temperature: number;
maxTokens: number;
systemPrompt: string;
knowledgeCutoff?: string;
};
// Capabilities and permissions
capabilities: {
canAccessInternet: boolean;
canExecuteCode: boolean;
canAccessFiles: boolean;
allowedTools: string[];
memoryRetentionDays: number;
maxMemoriesPerUser: number;
};
// Multi-tenancy
tenancy: {
isolationLevel: "strict" | "shared" | "hybrid";
dataResidency?: string; // Geographic location for data
encryptionKeyId?: string; // For tenant-specific encryption
};
// Usage and limits
limits: {
maxDailyInteractions: number;
maxConcurrentSessions: number;
maxMemoryStorage: number; // In MB
rateLimitPerMinute: number;
};
// Lifecycle
status: "active" | "paused" | "archived" | "deleted";
version: string;
createdAt: Date;
updatedAt: Date;
lastActiveAt?: Date;
}
// User-Companion relationship
export interface CompanionUser {
companionId: string;
userId: string;
// Relationship metadata
relationship: {
firstInteraction: Date;
lastInteraction: Date;
interactionCount: number;
trustLevel: number; // 0-100
};
// User-specific companion settings
preferences: {
nickname?: string;
preferredLanguage?: string;
timezone?: string;
customSettings?: Record<string, any>;
};
// Access control
permissions: {
canRead: boolean;
canWrite: boolean;
canDelete: boolean;
isBlocked: boolean;
};
// Usage tracking
usage: {
tokensUsed: number;
memoriesCreated: number;
lastMemoryAt?: Date;
};
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 894 lines · 29 tokens per session scan A 72f39ac3fca2
companion-architecture is an agent published in the GitHub repository Matt-Dionis/claude-code-configs (619 stars, last pushed 1y ago), licensed MIT. It adds 29 tokens to every session and 5,913 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
companion-architecture compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| companion-architectureMatt-Dionis/claude-code-configs | Agent | 619 | 1y ago | MIT | A | 29 | Claude Code |
| php-developerdavepoon/buildwithclaude | Agent | 3.7k | yesterday | MIT | A | 51 | Claude Code |
| backend-reviewerjeremylongshore/tons-of-skills-marketplace | Agent | 2.9k | yesterday | MIT | A | 36 | Claude Code |
| integrations-engineeravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 106 | Claude Code |
| gatetonone-ai/tonone | Agent | 77 | 23d ago | MIT | A | 19 | Claude Code |
| broadcasting-agentSofttor/nestjs-hexagonal | Agent | 5 | 29d ago | MIT | A | 58 | Claude Code |
| dotnet-architecture-reviewerStefanTheCode/dotnet-ai-toolkit | Agent | 26 | 2mo ago | MIT | A | 102 | Claude Code |