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.
npx agentmods add instructions/holetron-lab/fleet-memory/claude-mdgit clone --depth 1 https://github.com/Holetron-lab/fleet-memoryWrote 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/instructions/holetron-lab/fleet-memory/claude-md)<a href="https://agentmods.dev/instructions/holetron-lab/fleet-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/holetron-lab/fleet-memory/claude-md.svg" alt="Measured on agentmods" 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 | $0.02991 | $0.02991 |
| Opus 5 | $0.01496 | $0.01496 |
| Sonnet 5 | $0.00598 | $0.00598 |
| Haiku 4.5 | $0.00299 | $0.00299 |
Grade A, and why
fleet-memory CLAUDE.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 3d 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Hindsight is an agent memory system that provides long-term memory for AI agents using biomimetic data structures. Memories are organized as:
- World facts: General knowledge ("The sky is blue")
- Experience facts: Personal experiences ("I visited Paris in 2023")
- Mental models: Consolidated knowledge synthesized from facts ("User prefers functional programming patterns")
Development Commands
Local Development (API + UI)
# Start both API server and control plane UI
./scripts/dev/start.sh
API Server (Python/FastAPI)
# Start API server only (loads .env automatically)
./scripts/dev/start-api.sh
# Run all tests (parallelized with pytest-xdist)
cd hindsight-api-slim && uv run pytest tests/
# Run specific test file
cd hindsight-api-slim && uv run pytest tests/test_http_api_integration.py -v
# Run single test function
cd hindsight-api-slim && uv run pytest tests/test_retain.py::test_retain_simple -v
# Lint and format
cd hindsight-api-slim && uv run ruff check .
cd hindsight-api-slim && uv run ruff format .
# Type checking (uses ty - extremely fast type checker from Astral)
cd hindsight-api-slim && uv run ty check hindsight_api/
Control Plane (Next.js)
./scripts/dev/start-control-plane.sh
# Or manually:
cd hindsight-control-plane && npm run dev
Documentation Site (Docusaurus)
./scripts/dev/start-docs.sh
Generating Clients/OpenAPI
# Regenerate OpenAPI spec after API changes (REQUIRED after changing endpoints)
./scripts/generate-openapi.sh
# Regenerate all client SDKs (Python, TypeScript, Rust)
./scripts/generate-clients.sh
Benchmarks
# Accuracy benchmarks
./scripts/benchmarks/run-longmemeval.sh
./scripts/benchmarks/run-locomo.sh
# Performance benchmarks
./scripts/benchmarks/run-consolidation.sh
./scripts/benchmarks/run-retain-perf.sh --document <path> # Requires API server running
# Results viewer
./scripts/benchmarks/start-visualizer.sh # View results at localhost:8001
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.
- 3d ago First seen · 306 lines · 2,991 tokens per session scan A ccd27eb4fb48
fleet-memory CLAUDE.md is an instructions file published in the GitHub repository Holetron-lab/fleet-memory (0 stars, last pushed 5d ago), licensed MIT. It adds 2,991 tokens to every session, about $0.0150 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.
Other instructions, from other repositories
pragma AGENTS.md
AGENTS.md instructions for pqpo/pragma, covering agents.md, 项目定位, 技术基线, 目录结构 and package 命名.
fusionpact-vectordb AGENTS.md
AGENTS.md instructions for FusionpactTech/fusionpact-vectordb, covering agents.md — fusionpact integration guide for ai agents, identity, capabilities, 1. hybrid retrieval engine and 2. agent memory (4 types).
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
kungfu copilot-instructions.md
Copilot instructions for kungfu-systems/kungfu: Read and follow AGENTS.md before proposing or running changes. It is the shared agent router for this repository, including the canonical Shifu development and build entrypoint.
second-brain AGENTS.md
Instructions for LindaHaviv/second-brain, covering instructions for ai coding agents, what to read first, the rules (non-negotiable), common tasks, the sanctioned way and enforcement, not just instructions.
Agent-Memory-Bridge AGENTS.md
Instructions for zzhang82/Agent-Memory-Bridge, covering agent memory bridge contributor instructions, setup and checks, architecture boundaries, mutation and migration invariants and benchmark expectations.