lians-remember

lians-remember is a command for coding agents from ebeirne/Lians2. It costs 14 tokens per session (438 once invoked), scanned A, a copy of lians-remember, Apache-2.0.

A command for saving a fact in Lians memory with the time it became true and related details. Lians is a memory service that can replace older, conflicting facts while retaining them for historical checks.

In plain words
What is it for?
Parsing a fact, adding metadata such as a stock ticker or patient identifier, and storing it through the Python SDK or REST API.
Why use it?
It keeps stored information current and distinguishes business event time from the time the fact was saved.

Command

Part of the lians plugin — 4 commands, 1 agent shipped together

Install

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.

agentmods
npx agentmods add commands/ebeirne/lians2/lians-remember
Clone the repo
git clone --depth 1 https://github.com/ebeirne/Lians2

Or install lians, the plugin that ships this one along with the rest of its 4 commands, 1 agent.

Wrote 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.

agentmods badge for lians-remember

README.md
[![agentmods](https://agentmods.dev/badge/commands/ebeirne/lians2/lians-remember.svg)](https://agentmods.dev/commands/ebeirne/lians2/lians-remember)
Your own site
<a href="https://agentmods.dev/commands/ebeirne/lians2/lians-remember"><img src="https://agentmods.dev/badge/commands/ebeirne/lians2/lians-remember.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 438 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00438
Opus 5 $0.00007 $0.00219
Sonnet 5 $0.00003 $0.00088
Haiku 4.5 $0.00001 $0.00044

Measured 5d ago against content hash 9d3e19c512bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lians-remember 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.

Origin

This is a copy

100% identical to lians-remember — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

integrations/lians-plugin/commands/lians-remember.md · 44 lines

What it actually says

/lians-remember

Persist a fact to Lians memory so it survives across this and future sessions. Lians applies supersession automatically: if the new fact contradicts an existing one (same ticker+metric, same patient+condition, same matter+claim), the older fact is marked superseded and disappears from future recall — but stays auditable via point-in-time queries.

What to do

  1. Parse the fact from: $ARGUMENTS
  2. Determine the event_timewhen the fact became true (business time), not now. If the user wrote "as of ", use it. Otherwise default to today and say so.
  3. Infer structured metadata where obvious, so supersession can key on it:
    • finance → {"ticker": "...", "metric": "..."}
    • healthcare → {"patient_id": "...", "condition": "..."}
    • legal → {"matter_id": "...", "claim_type": "..."}
  4. Write it. Prefer the Python SDK if lians is importable; otherwise call the REST API with the env vars LIANS_URL / LIANS_API_KEY.
from lians import LiansClient  # or LocalLiansClient for local SQLite
from datetime import datetime, timezone

mem = LiansClient(base_url=os.environ["LIANS_URL"], api_key=os.environ["LIANS_API_KEY"])
mem.add(
    agent_id=os.environ.get("LIANS_AGENT_ID", "claude-session"),
    content="<the fact>",
    event_time=datetime(YYYY, M, D, tzinfo=timezone.utc),
    metadata={...},
)
  1. Confirm what was stored, the event_time used, and any metadata inferred.

Never invent an event_time precision you don't have — if the user only gave a date, store the date, not a fabricated timestamp.

Changes

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.

  1. 5d ago First seen · 44 lines · 14 tokens per session scan A 9d3e19c512bd

Subscribe to this mod's changes

lians-remember is a command published in the GitHub repository ebeirne/Lians2 (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 438 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lians-remember, differing in 6 lines, and is treated as a copy.