multi-agent-memory

multi-agent-memory is a skill for Claude Code, Codex from UitbreidenOS/UitKit. It costs 26 tokens per session (2,142 once invoked), scanned A, original, no licence file.

Build shared, versioned memory systems for multi-agent teams using blackboard pattern, conflict resolution, and eventual consistency.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/uitbreidenos/uitkit/multi-agent-memory
Any agent
npx skills add UitbreidenOS/UitKit --skill multi-agent-memory
Clone the repo
git clone --depth 1 https://github.com/UitbreidenOS/UitKit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for multi-agent-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/uitbreidenos/uitkit/multi-agent-memory.svg)](https://agentmods.dev/skills/uitbreidenos/uitkit/multi-agent-memory)
Your own site
<a href="https://agentmods.dev/skills/uitbreidenos/uitkit/multi-agent-memory"><img src="https://agentmods.dev/badge/skills/uitbreidenos/uitkit/multi-agent-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,142 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.02142
Opus 5 $0.00013 $0.01071
Sonnet 5 $0.00005 $0.00428
Haiku 4.5 $0.00003 $0.00214

Measured yesterday against content hash 088c57eda198, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

multi-agent-memory 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 yesterday.

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.

plugins/uitkit-ai-engineering/skills/multi-agent-memory/SKILL.md · 323 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. yesterday First seen · 323 lines · 26 tokens per session scan A 088c57eda198

Subscribe to this mod's changes

multi-agent-memory is a skill published in the GitHub repository UitbreidenOS/UitKit (14 stars, last pushed 2mo ago), with no licence file. It adds 26 tokens to every session and 2,142 once invoked, about $0.0001 per session on Opus 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 2026-09-03.