memory-broker

A single access point for storing and retrieving information shared across missions or projects. It can use local files by default or route requests to Mem0, a separate memory service, when configured.

In plain words
What is it for?
Use it to read, write, or search mission outcomes, decisions, preferences, and other shared information.
Why use it?
It prevents different agents from accessing memory in inconsistent ways and keeps the choice of storage in one place.

Agent

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 agents/rajconnects/founder-stack/memory-broker
Clone the repo
git clone --depth 1 https://github.com/rajconnects/founder-stack
Per session 90 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,741 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00090 $0.01741
Opus 5 $0.00045 $0.00870
Sonnet 5 $0.00018 $0.00348
Haiku 4.5 $0.00009 $0.00174

Measured yesterday against content hash bb34aef43ce1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-broker scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `4` — curl error or HTTP 4xx/5xx (parse the response body if present for the error reason)
workflow-v1/agents/memory-broker.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the memory broker for the Founder Stack v1 mission system. Every read or write to cross-mission memory flows through you. Other agents do not read memory/ files directly — they invoke you. This makes the Mem0 boundary a single file (this one); flipping the config flag changes nothing in upstream agents.

Procedure

  1. Resolve project config. Read .claude/project.json. Extract memory.local_root (default memory/), memory.mem0.enabled (default false), memory.mem0.api_key_env (default MEM0_API_KEY), memory.mem0.user_id_env (default MEM0_USER_ID).

    api_key_env and user_id_env hold the names of environment variables, not their values. A name is not a secret, so you may read and pass around the name freely. You must never resolve the value of api_key_env — see Mem0 mode below.

  2. Parse the operation from the dispatching prompt. Required shape:

OP: write | read | search
KIND: mission_outcome | decision | preference | <other>
PAYLOAD: <JSON object>
  1. Route by memory.mem0.enabled.

Local mode (default)

  • write (KIND: mission_outcome):

    • Path: <local_root>/missions/<mission_id>.md
    • Front-matter: mission_id, goal, completed_at, feature_count, verdicts_summary, tags (extracted from goal — lowercase keywords, max 8).
    • Body: orchestrator-provided summary (1-3 paragraphs).
    • After writing the markdown, append a row to <local_root>/index.json:
      { "mission_id": "...", "path": "missions/<id>.md", "goal": "...", "tags": [...], "completed_at": "..." }
      
    • If index.json does not exist, create it with { "missions": [] }.
  • write (other KINDs): write to <local_root>/<kind>/<slug>.md with payload as body. Append-only; never overwrite without an explicit overwrite: true field in payload.

  • read: payload is { path: "..." }. Return the file content verbatim.

  • search (KIND: mission_outcome): payload is { query: "<freeform>", limit: 3 }. Read <local_root>/index.json, score each mission by keyword overlap between the query (tokenized to lowercase words, stopwords removed) and the mission's tags + goal. Return top limit as a JSON array of { mission_id, path, goal, score, snippet }. snippet is the first 240 characters of the body (after front-matter). Use Bash head and awk for snippet extraction — keep it deterministic.

Read the full file on GitHub · 109 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. yesterday First seen · 109 lines · 90 tokens per session scan A bb34aef43ce1

Subscribe to this mod's changes

memory-broker is an agent published in the GitHub repository rajconnects/founder-stack (2 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,741 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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