remember:evolve

A scheduled knowledge-maintenance routine for a personal “second brain”—a collection of notes about people, projects, and beliefs. It combines stored information into updated profiles and reviews whether beliefs are still current.

In plain words
What is it for?
Use it weekly or on demand to consolidate notes, reassess beliefs against evidence, and update the most important beliefs in the persona file.
Why use it?
Without periodic review, notes only accumulate and become outdated. It helps refresh summaries, confidence levels, and stale or conflicting beliefs.

Skill for Claude CodeCodex

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 skills/remember-md/remember/evolve
Any agent
npx skills add remember-md/remember --skill evolve
Clone the repo
git clone --depth 1 https://github.com/remember-md/remember

Made for: Claude Code, Codex.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,259 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00028 $0.02259
Opus 5 $0.00014 $0.01130
Sonnet 5 $0.00006 $0.00452
Haiku 4.5 $0.00003 $0.00226

Measured yesterday against content hash 73754a40f6e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remember:evolve 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.

skills/evolve/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The deeper LLM-driven evolution layer. The deterministic Phase 3 (promote) runs automatically after every capture — that keeps Persona.md ## Top Beliefs current in real time. This skill is what does the work that promote alone can't: re-synthesizing entity profiles, re-scoring belief confidence semantically, marking stale beliefs that should retire.

Without periodic evolution, the brain becomes append-only:

  • People/, Projects/, Areas/ files accumulate log entries but never get a refreshed ## Profile overview
  • Beliefs keep their initial confidence forever, even after 15 supporting captures that should push them to 0.95
  • 6-month-old beliefs with no new evidence stay marked stable instead of stale

Three phases:

  1. Consolidate (LLM) — re-synthesize entity profiles from accumulated facts and beliefs
  2. Reflect (LLM) — re-evaluate beliefs against evidence, update confidence and freshness, mark contradictions
  3. Promote (deterministic, no LLM) — also runs here, usually a no-op because auto-promote already kept Top Beliefs current

Recommended cadence: /loop 7d /remember:evolve (weekly) or /loop 30d /remember:evolve (monthly). Idempotent — safe to run any time.

After each Phase that writes (Phase 1 entity re-synthesis, Phase 2 belief frontmatter updates, Phase 3 Persona.md update via promote.js), call node ${CLAUDE_PLUGIN_ROOT}/scripts/schema.js validate <filepath> on the touched files. Surface its warnings (e.g. "confidence defaulted to 0.5 — review") in your final report.


Flags (parsed from user input)

Flag Effect
--consolidate-only Run Phase 1 only
--reflect-only Run Phase 2 only
--promote-only Run Phase 3 only (no LLM — pure script call)
--dry-run Log intended changes; write nothing

If no flag → run all three phases in order.


Step 1: Resolve brain path & load config

  1. Read $REMEMBER_BRAIN_PATH (fallback ~/remember). Call this {brain}.
  2. If missing → tell user to run /remember:init and stop.
  3. Run: node ${CLAUDE_PLUGIN_ROOT}/scripts/build-index.js --compact to get the brain index. Use throughout to resolve entities and prevent duplicates.
  4. Load thresholds + auto_promote flag:
    node -e "const {loadEvolutionConfig} = require('${CLAUDE_PLUGIN_ROOT}/scripts/config'); console.log(JSON.stringify(loadEvolutionConfig()));"
    
    Defaults: promotion_confidence=0.85, promotion_sources=5, stale_days=90, consolidate_touches=5, top_beliefs_n=10.

Read the full file on GitHub · 208 lines

Files

What ships with it

1 file 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.

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. yesterday First seen · 208 lines · 28 tokens per session scan A 73754a40f6e4

Subscribe to this mod's changes

remember:evolve is a skill published in the GitHub repository remember-md/remember (58 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 2,259 once invoked, about $0.0001 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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