recall AGENTS.md

Project instructions for Recall, a read-only tool that combines searches across several agent knowledge stores into one briefing.

In plain words
What is it for?
Guiding Recall setup, tests, status checks, its local console, and connections to Cortex, Agent-HQ, Scout, and Lens.
Why use it?
They tell an agent to check existing knowledge at the start of a task instead of searching each connected store separately.

Instructions file for CodexOpenCode

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 instructions/tools-for-agents/recall/agents-md
Clone the repo
git clone --depth 1 https://github.com/tools-for-agents/recall

Made for: Codex, OpenCode.

Per session 911 This file is loaded in full into every session.
When invoked 911 The same file — it is already loaded in full.
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 $0.00911 $0.00911
Opus 5 $0.00456 $0.00456
Sonnet 5 $0.00182 $0.00182
Haiku 4.5 $0.00091 $0.00091

Measured 2d ago against content hash 262ac985f35c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

recall AGENTS.md 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 2d 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.

AGENTS.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — recall

🎯 Federated recall across an agent's knowledge. One query across cortex, agent-hq, scout and lens, returning a single token-budgeted briefing. Read-only. Use it first, at the start of a task. Part of tools-for-agents.

Setup

node --version                          # 22+ required. Nothing to install.
npm test                                # = node --test
node src/cli.js "some question"         # the query IS the verb — there is no `search`
node src/cli.js status                  # which knowledge stores are reachable
node src/cli.js serve --port 7980       # the console (real, but absent from --help)
npm run mcp                             # the MCP server, stdio

Zero runtime dependencies, and that is a hard rule. No dependencies in package.json, ever. Node 22+ gives you what you need.

Env For
RECALL_PORT serve port (default 7980)
RECALL_CORTEX_DB / CORTEX_VAULT 🧠 brain — cortex notes
RECALL_HQ_URL / HQ_URL 🛰️ team — agent-hq memory (default http://localhost:7700)
RECALL_SCOUT_DB / SCOUT_DB 🧭 reading — scout pages
RECALL_LENS_DB / LENS_DB 🔎 code — lens chunks

Every store is auto-discovered and optionalrecall status tells you which ones answered.

recall talks to its siblings over HTTP; it owns no store of its own. It is read-only by design — if you find yourself adding a write path, that belongs in the tool that owns the data.

The rules this repo is built on

1. Only the picture is evidence. Run iris against any UI change and look at the shot. Audit phone,tablet,desktop, both themes, with --hover.

2. Answer prefers-reduced-motion. The briefing cards enter with animation: rise .28s both. A gate that waited only for .hit to exist photographed them at ~40% opacity and reported 2.92:1 — a high, on text that is 16:1 once it lands. That finding was the camera's shutter speed, not a defect. The @media (prefers-reduced-motion: reduce) { .hit { animation: none } } rule is what makes the render deterministic — keep it, and keep it below the rules it must beat.

Read the full file on GitHub · 68 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. 2d ago First seen · 68 lines · 911 tokens per session scan A 262ac985f35c

Subscribe to this mod's changes

recall AGENTS.md is an instructions file published in the GitHub repository tools-for-agents/recall (0 stars, last pushed 28d ago), licensed MIT. It adds 911 tokens to every session, about $0.0046 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 2026-08-31.