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/mnardit/agent-recall/claude-mdgit clone --depth 1 https://github.com/mnardit/agent-recallWrote 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/mnardit/agent-recall/claude-md)<a href="https://agentmods.dev/instructions/mnardit/agent-recall/claude-md"><img src="https://agentmods.dev/badge/instructions/mnardit/agent-recall/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 | $0.01287 | $0.01287 |
| Opus 5 | $0.00643 | $0.00643 |
| Sonnet 5 | $0.00257 | $0.00257 |
| Haiku 4.5 | $0.00129 | $0.00129 |
Grade A, and why
agent-recall 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 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-recall (topic: claude-memory)
Parent: bigboss Origin: Open-source пакет для persistent memory AI-агентов Created: 2026-02-15
Статус: v0.3.0, HN launch in progress
Пакет agent-recall — опубликованный open-source продукт (PyPI + GitHub).
HN + Reddit посты опубликованы 26.02.2026.
Два трека:
- Развитие пакета — фичи, баги, community feedback, новые версии
- Personal brand — статьи, соцсети, launch campaign → позиционирование Макса как AI agent architecture expert
Пакет
Repo: ~/projects/claude-memory/ → github.com/mnardit/agent-recall (PUBLIC)
PyPI: agent-recall / agent-recall[mcp] / agent-recall[api]
Module: agent_recall | CLI: agent-recall init/set/get/search/generate/status
- 321 тестов, 12 модулей, py.typed (PEP 561)
- MCP-native — tested configs for Claude Code, Cursor, Windsurf, Cline
- MCP server с proactive-saving instructions — агенты автоматически сохраняют факты
- scope_reads — open_nodes/read_graph фильтруют по scope chain (v0.3.0 breaking change)
- Briefing backends:
cli(claude -p, бесплатно, дефолт) /api(Anthropic SDK, платно, чисто) - Default paths:
~/.agent-recall/| Env var:AGENT_RECALL_SLUG - Model aliases: opus/sonnet/haiku → полные API ID (sonnet = claude-sonnet-4-6)
- YAML конфиг, per-agent overrides, adaptive cache, pluggable LLM
- Production:
~/projects/bigboss/lib/memory/(re-export wrappers),memory.yaml→~/.claude/memory/
Rename history
claude-memory → agent-memory → agent-recall (PyPI name conflicts forced renames)
Roadmap
Next:
- Flagship статья: "How I Built a Shared Memory System for 30 AI Coding Agents"
- Итерации по community feedback
- Обновить
.mcp.jsonво всех 30+ проектах (wrappers → pip)
Claude Code Auto Memory интеграция (feb 2026 — новая фича CC):
CC имеет ~/.claude/projects/<project>/memory/ (auto memory, MEMORY.md 200 строк) и @import в CLAUDE.md.
Варианты интеграции (решение pending):
- A. Write to auto memory — брифинг → MEMORY.md, SessionStart hook не нужен. Zero-config для open-source юзеров. Риск: 200 строк лимит, Claude может перезаписать.
- B. Разделение зон — auto memory = мелочи (build, prefs), agent-recall = структура (люди, решения). Брифинг через @import. Чистое разделение, два механизма.
- C. Поглощение — autoMemoryEnabled: false, всё через agent-recall. Максимальный контроль, теряем нативную фичу. Для наших агентов — B или C. Для open-source — A самый привлекательный. Шаги: 1) @import доки в README, 2) native output (вариант A), 3) bi-directional парсинг
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.
- 5d ago First seen · 80 lines · 1,287 tokens per session scan A b24aa4b45f3b
agent-recall CLAUDE.md is an instructions file published in the GitHub repository mnardit/agent-recall (15 stars, last pushed 5mo ago), licensed MIT. It adds 1,287 tokens to every session, about $0.0064 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 2026-08-30.
Other instructions, from other repositories
Dragon-Brain CLAUDE.md
Instructions for iikarus/Dragon-Brain, covering dragon brain — claude.md, the harness, audit remediation (april–may 2026, complete 2026-05-09), the lie this audit closed and the contract that matters now.
superlocalmemory copilot-instructions.md
Copilot instructions for qualixar/superlocalmemory, covering superlocalmemory (slm) — agent rules, session start, remember, recall and optimize (fail-open).
mnemic CLAUDE.md
Claude Code instructions for dongtang3/mnemic: This project includes a project-level .mcp.json for the Mnemic memory MCP server.
fish-bridge-mcp copilot-instructions.md
Instructions for MakeaMouse/fish-bridge-mcp, a project described as: An economical and fuel(token) efficient AI tool, graph session memory for looong chat session.
mnemic AGENTS.md
AGENTS.md instructions for dongtang3/mnemic: Mnemic is a graph-backed long-term memory substrate for coding agents and LLM applications.
krimto CLAUDE.md
Instructions for krimto-labs/krimto, covering krimto — contributor and development guidelines, if you are an ai agent, what this project is, code conventions and required verification (after every change).