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/rohirik/openltm/ltmnpx skills add RohiRIK/OpenLtm --skill ltmgit clone --depth 1 https://github.com/RohiRIK/OpenLtmWrote 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/rohirik/openltm/ltm)<a href="https://agentmods.dev/skills/rohirik/openltm/ltm"><img src="https://agentmods.dev/badge/skills/rohirik/openltm/ltm.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 5.1 | $0.00031 | $0.00666 |
| Opus 5 | $0.00015 | $0.00333 |
| Sonnet 5 | $0.00006 | $0.00133 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
Ltm 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LTM — Memory Contract
Single source of truth for talking to long-term memory. Load it whenever you touch memory so tool names and the recall-before / learn-after ritual stay consistent.
Tools
Plugin ltm, server key memory. In Claude Code each is called as mcp__plugin_openltm_memory__<name>.
| Tool | Call when |
|---|---|
recall |
Before any non-trivial task — surface prior decisions, gotchas, patterns. |
learn |
After a durable pattern, gotcha, or decision. |
context |
Session start / project switch — restore goals, decisions, gotchas. |
context_items |
List one type (goal, decision, progress, gotcha) for a project. |
graph |
Trace decision chains — pass seed IDs from recall to see the "why". |
relate |
Link two memories (supports, contradicts, refines, depends_on, related_to, supersedes). |
forget |
Remove a wrong or outdated memory. |
admin_audit |
Inspect a memory's provenance / audit trail. |
ltm_recall/ltm_learnbelong to the OpenCode and Pi adapters — not the Claude server. On Claude, use the short names above.
Ritual
- Recall before —
recallwith natural language (FTS5 + semantic fallback), not bare keywords. Project restore →context. - Trace — for decisions with history,
graphfrom the top recall hits. - Work — grounded in what recall returned.
- Learn after —
learndurable insights;relateto connect them.
Categories
learn takes one: preference (conventions/style) · architecture (design decisions) · gotcha (pitfalls) · pattern (reusable solutions) · workflow (process) · constraint (must-follow rules).
Phase Map
| Phase | Before | During | After |
|---|---|---|---|
| Spec | recall · context |
explore code | learn · relate |
| Plan | recall (main thread) |
graph chains; optional reasoning API* |
relate |
* Planner has no MCP tools — main thread recalls and injects a ### Pre-Plan Context block. Richer chains when the reasoning server runs: GET http://localhost:7331/api/reasoning/search?q=<topic>&depth=2.
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 · 51 lines · 31 tokens per session scan A 7f9b9e0bed05
Ltm is a skill published in the GitHub repository RohiRIK/OpenLtm (26 stars, last pushed 4d ago), licensed MIT. It adds 31 tokens to every session and 666 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 2026-08-30.
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