brain-memory-bank

brain-memory-bank is a skill for Claude Code, Codex from DevvGwardo/brain-mcp. It costs 0 tokens per session (1,192 once invoked), scanned A, original, MIT.

A persistent shared-memory pattern for workflows where multiple coding agents work on the same project. It stores session state in a STATE.md file and passes relevant context between agents.

In plain words
What is it for?
Use it to coordinate subagents, record what has been completed, share task context, and collect their results across a multi-step workflow.
Why use it?
Agents normally lose context between tasks, which can lead to repeated work or inconsistent decisions.

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/devvgwardo/brain-mcp/brain-memory-bank
Any agent
npx skills add DevvGwardo/brain-mcp --skill brain-memory-bank
Clone the repo
git clone --depth 1 https://github.com/DevvGwardo/brain-mcp

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 brain-memory-bank

README.md
[![agentmods](https://agentmods.dev/badge/skills/devvgwardo/brain-mcp/brain-memory-bank.svg)](https://agentmods.dev/skills/devvgwardo/brain-mcp/brain-memory-bank)
Your own site
<a href="https://agentmods.dev/skills/devvgwardo/brain-mcp/brain-memory-bank"><img src="https://agentmods.dev/badge/skills/devvgwardo/brain-mcp/brain-memory-bank.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 5.1 $0.00000 $0.01192
Opus 5 $0.00000 $0.00596
Sonnet 5 $0.00000 $0.00238
Haiku 4.5 $0.00000 $0.00119

Measured 5d ago against content hash ab558712c749, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

brain-memory-bank 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 5d 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.

skills/brain-memory-bank/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brain Memory Bank

GSD-inspired persistent context pattern for brain-mcp multi-agent workflows.

Use when: Using brain-mcp to coordinate multiple subagents that need shared context across tasks.

What it solves: Subagents have no memory between tasks. This makes the orchestrator the memory bank using a single STATE.md file.


Pattern

Orchestrator
│
│  MAINTAINS: ~/.hermes/.brain/STATE.md
│
│  PER TASK:
│    1. brain_set("task_context", $SLICE_OF_STATE)
│    2. brain_wake(agent, goal + context)
│
│  AFTER RESULTS:
│    1. brain_read() — collect agent posts
│    2. Update STATE.md — "What Was Done", "Agent Context"
│    3. brain_set next wave or end
│
└── Subagents: read brain_get("task_context"), do work, brain_post() results

Orchestrator Workflow

1. Initialize Session

BRAIN_STATE="$HOME/.hermes/.brain/STATE.md"
mkdir -p "$(dirname "$BRAIN_STATE")"

cat > "$BRAIN_STATE" <<'EOF'
# Brain MCP — Session State

## Session

Project: [project-name]
Session ID: [session-id]
Started: [YYYY-MM-DD HH:MM]
Status: active

## Current Phase

Phase: init
Updated: [YYYY-MM-DD HH:MM]

## Orchestrator Memory

### What Was Done
- (empty — fill after first wave)

### Active Decisions
- (empty)

### Blockers
- (none)

### Pending Results
- (none)

## Agent Context

## Files Under Work

## Session Log
EOF

2. Per-Wave: Inject Context Slices

Before brain_wake, extract relevant slice from STATE.md:

# Extract context relevant to this task
get_context_slice() {
  local phase="$1"  # e.g., "auth", "api", "frontend"
  local state="$HOME/.hermes/.brain/STATE.md"

  # Get orchestrator memory (always relevant)
  echo "## Orchestrator Memory"
  grep -A 20 "## Orchestrator Memory" "$state" 2>/dev/null || echo "(no memory yet)"

  # Get relevant files under work
  echo ""
  echo "## Files Under Work (relevant to: $phase)"
  grep -A 10 "## Files Under Work" "$state" 2>/dev/null | grep -i "$phase" || echo "(none)"

  # Get agent context for relevant agents
  echo ""
  echo "## Agent Context"
  grep -A 8 "### agent-" "$state" 2>/dev/null | grep -A 8 "$phase" || echo "(none)"
}

Read the full file on GitHub · 192 lines

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. 5d ago First seen · 192 lines · 0 tokens per session scan A ab558712c749

Subscribe to this mod's changes

brain-memory-bank is a skill published in the GitHub repository DevvGwardo/brain-mcp (8 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,192 tokens. 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 2026-08-31.

Related

Other skills, from other repositories

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

agent-memory

../../../engineering/agent-memory/skills/agent-memory/SKILL.md.

alirezarezvani/claude-skills · 0 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens