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 skills/coding-dev-tools/engraphis/engraphis-memorynpx skills add Coding-Dev-Tools/engraphis --skill engraphis-memorygit clone --depth 1 https://github.com/Coding-Dev-Tools/engraphisWhat 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 | $0.00134 | $0.03118 |
| Opus 5 | $0.00067 | $0.01559 |
| Sonnet 5 | $0.00027 | $0.00624 |
| Haiku 4.5 | $0.00013 | $0.00312 |
Grade A, and why
engraphis-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 yesterday.
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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engraphis Memory
Engraphis is a local-first memory engine exposed to agents over MCP. This skill is the
discipline for using it well: what to store, how to scope it, and which tool answers which
question. It assumes the Engraphis MCP server is connected. The default Smart MCP surface has nine
engraphis_* tools (engraphis_session, engraphis_recall_context, engraphis_remember,
engraphis_discover_actions, engraphis_execute_read, engraphis_execute_action,
engraphis_get_memory, engraphis_update_memory, engraphis_conflict_review) and automatically
exposes advanced capabilities through discovery and a validated executor. If those tools are
absent, see Setup. Do not fall back to ad-hoc notes.
Smart tool inventory
| Tool | What it does |
|---|---|
engraphis_session |
Starts or resumes a session, or ends it with a next-session handoff. |
engraphis_recall_context |
Returns one compact, bounded context packet for routine agent work. |
engraphis_remember |
Stores a routine durable memory with safe default provenance and deduplication. |
engraphis_discover_actions |
Returns exact schemas for a small set of matching advanced actions. |
engraphis_execute_read |
Executes only a discovered action that is read-only and idempotent. |
engraphis_execute_action |
Executes a discovered write, admin, or destructive-capable action. |
engraphis_get_memory |
Returns one governed memory record, excluding non-prompt-eligible content. |
engraphis_update_memory |
Edits memory metadata; content changes use the governed correction path. |
engraphis_conflict_review |
Lists pending, quarantined, or conflicting memories for review. |
The Smart gateway exposes these nine tools directly; advanced capabilities remain available through discovery and the validated executors.
Memory here is scoped, typed, bi-temporal, and self-maintaining: writes are deduplicated and contradictions supersede (never silently overwrite), and forgetting lowers priority instead of hard-deleting. You get those guarantees for free if you use the right tool with the right scope.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 188 lines · 134 tokens per session scan A 0f98098df695
engraphis-memory is a skill published in the GitHub repository Coding-Dev-Tools/engraphis (170 stars, last pushed 2d ago), licensed Apache-2.0. It adds 134 tokens to every session and 3,118 once invoked, about $0.0007 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.
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