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 skills add boparaiamrit/skills-by-amrit --skill persistent-memorygit clone --depth 1 https://github.com/boparaiamrit/skills-by-amritWrote 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/skills/boparaiamrit/skills-by-amrit/persistent-memory)<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/persistent-memory"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/persistent-memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/persistent-memory"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/persistent-memory.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00047 | $0.04545 |
| Opus 5 | $0.00023 | $0.02273 |
| Sonnet 5 | $0.00009 | $0.00909 |
| Haiku 4.5 | $0.00005 | $0.00455 |
Grade A, and why
persistent-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 8d 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 — 638 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🧠 Persistent Memory System
Automated context preservation across AI coding sessions — no hooks, no APIs, no external services.
Why This Exists
Every AI coding session starts from scratch. You explain the same architecture, repeat the same decisions, and lose the context you built in previous sessions. This skill solves that by creating a file-based memory protocol that any AI agent can follow.
Unlike claude-mem (which requires Claude Code hooks and a worker service), this system works in any agent that can read and write files — Antigravity, Cursor, Claude Code, Gemini CLI, Cline, and more.
Related Assets
| Asset | Location | Purpose |
|---|---|---|
| Command | commands/memory.md |
/memory init, /memory write, /memory compress |
| Workflow | workflows/memory-sync.md |
End-to-end memory sync workflow |
| Cursor Rule | cursor-rules/memory-protocol.mdc |
Auto-enforced memory protocol for Cursor |
| Universal Rule | rules/memory-protocol.md |
Memory protocol for any agent |
| State Tool | scripts/planning-tools.cjs |
Deterministic state management CLI |
Architecture
The Memory Stack
.planning/
├── MEMORY.md # 🧠 Compressed project brain (~300 lines max)
├── sessions/
│ ├── YYYY-MM-DD-session-N.md # Session logs (auto-pruned to last 10)
│ └── _archive/ # Older sessions compressed here
├── decisions/
│ └── DECISIONS.md # Chronological decision log (append-only)
├── context/
│ ├── architecture.md # Architecture decisions record
│ ├── patterns.md # Established code patterns
│ ├── gotchas.md # Known issues, bugs, workarounds
│ └── tech-debt.md # Known technical debt
├── handoffs/
│ ├── LATEST.md # Current session's handoff note
│ └── _history/ # Previous handoffs (auto-archived)
└── config.json # Optional: memory configuration
How It Works
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.
- 8d ago First seen · 638 lines · 47 tokens per session scan A 9422f33ed8d6
persistent-memory is a skill published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 4,545 once invoked, about $0.0002 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 2026-09-03.
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