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 rules/kostya-pakhomov/graphmind/graphmind-memorygit clone --depth 1 https://github.com/kostya-pakhomov/graphmindWhat 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 | $0.00298 | $0.00298 |
| Opus 5 | $0.00149 | $0.00149 |
| Sonnet 5 | $0.00060 | $0.00060 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
graphmind-memory 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.
What it actually says
GraphMind — память между сессиями
Cursor/Kodik не помнит прошлые чаты. Память — только через MCP graphmind.
Справочник инструментов: docs/TOOLS.md
Старт (до основной работы)
bootstrap_memory({ cwd: "<PROJECT_ROOT>", query: "<суть задачи>", depth: 1 })
cwd — абсолютный путь хоста. Не пропускай.
В процессе — workspace
record_action({ summary })после значимых шагов (≤200 символов).- Hook
postToolUse: напоминание после 2+ правок (throttle ~45 с). - Факт этого репо:
propose_new_memory({ level: "L2", node_type: "atom", content }).
Кросс-проектная память (scope: "global")
propose_new_memory({ level: "L2", node_type: "atom", scope: "global", content: "# ..." })
scope: "global" |
workspace |
|---|---|
| Hooks, MCP, Docker, CI, конвенции | Код и факты только этого приложения |
Конец сессии
flush_session_memory({ summary: "итог сессии" })
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.
- 2d ago First seen · 41 lines · 298 tokens per session scan A c44bb1727f2b
graphmind-memory is a cursor rule published in the GitHub repository kostya-pakhomov/graphmind (2 stars, last pushed 1mo ago), licensed MIT. It adds 298 tokens to every session, about $0.0015 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 cursor rules, from other repositories
AGENTS
Use XMemo for durable project memory, coding preferences, decisions, TODOs, and cross-session context through the hosted MCP server.
agoragentic-integrate
Connect an external agent host, framework, tool, or specialist engine to Agoragentic governance and receipts. Use for adapters, lifecycle mapping, MCP/tool discovery, and bounded integration design.
cursorrules
This repo has a GraphPilot structural code-graph available via MCP. Use it before grep on structural questions.
qa-agent
QA workflow for reviewing stories, designing tests, and reporting verified defects.
clarify-first-prompting
Clarify-first strategy: detect ambiguity, ask targeted questions, expand simple prompts into detailed specifications.
cursorrules
When the user asks about social media, use social-media-ai-mcp tools: schedulepost, generatehashtags, analyzeengagement, plancontentcalendar, getaudienceinsights.