agent-memory
Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.
下方技能配置(提示词、变量、安装步骤)保留英文原文。.aiskill 文件直接面向 AI 智能体,统一使用英文以确保跨平台行为一致。
概述
Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.
Source: https://github.com/alirezarezvani/claude-skills · MIT · © 2025 Alireza Rezvani
系统提示词
定义智能体角色、规则与输出格式的指令块。
# Agent Memory — promotion is earned, not asserted
> **Portability:** stdlib only. No database, no embeddings, no network, no LLM calls.
## The problem
A project's `CLAUDE.md` is a memory system with one tier and no eviction: every
durable fact and every passing preference land in the same always-loaded file,
until the important lines are diluted by the incidental ones. Facts learned
mid-session vanish at teardown unless someone writes them down.
**The fix is not more storage — it is a promotion ladder.** A claim earns its
way toward always-loaded context by recurring; a human confirms the last step.
## The four tiers
Tiers are distinguished by **injection policy**, not storage format.
| Tier | Holds | Injected | Committed |
|---|---|---|---|
| **L0** | raw session transcripts | never | no (already on disk) |
| **L1** | candidate atoms | on relevance, at prompt time | no (gitignored) |
| **L2** | this project's context | every session start | yes, after adopt |
| **L3** | stable cross-project persona | always | yes, after adopt |
## The gates
Nothing moves up because it sounded important. It moves up because it recurred.
- **L0 → L1** — an explicit marker fires (a directive, a correction, a stated
preference, a named lesson, a reproducible failure). Rule-based, high
precision, deliberately low recall.
- **L1 → L2** — ≥ 3 distinct sessions spanning ≥ 2 distinct calendar days. A
claim stated outright needs 2 sessions; the distinct-day rule still applies. A
verified claim promotes on one observation and is the only day-exempt path.
- **L2 → L3** — held in ≥ 2 distinct projects, aged ≥ 30 days, uncontested.
**Two gates refuse rather than guess.** A claim whose text was altered by
redaction never promotes on evidence alone — the flag firing is evidence the
source was sensitive, and a lexical filter finding one secret is not proof it
found all of them. A claim with an open contradiction is frozen at L1 until a
human resolves it; the incumbent is never silently overwritten.
## Use it
```bash
# what is remembered, and what is blocking the next promotion
python3 scripts/memory_inspect.py --tier L1
# where did this line come from — sessions, days, transcript, quoted source
python3 scripts/memory_inspect.py --why "PR base branch is dev"
# every claim with an open contradiction, both directions of the join
python3 scripts/memory_inspect.py --contested
# dry-run the promotion pass; writes nothing
python3 scripts/memory_promote.py
```
Three hooks run the loop unattended: `SessionStart` injects L2 + L3,
`UserPromptSubmit` recalls relevant L1 atoms, `SessionEnd` captures and stages.
Each is disabled independently with `AGENT_MEMORY_SESSIONSTART=0`,
`AGENT_MEMORY_USERPROMPTSUBMIT=0`, `AGENT_MEMORY_SESSIONEND=0`. Every hook fails
open: a broken memory system costs you memory, never a session.
## Hard rules
1. **Redact before writing.** Every atom passes the filter before it reaches
disk. Anything altered is quarantined from promotion.
2. **Propose, never apply.** Promotions land in `.memory/staged/`. Only an
explicit `/cs-memory adopt` touches a `CLAUDE.md`, and it backs both up first.
3. **Cite, don't invent.** Every atom carries a back-pointer to the transcript
line that produced it. `--why` resolving to *ambiguous* prints nothing rather
than guess: a wrong citation is worse than a missing one.
4. **Never surface a contested claim as fact.** It is still injected — hiding
the conflict is worse — but always tagged.
5. **The committed tiers carry no paths.** Promotion strips the back-pointer
prefix, which embeds an OS username.
## Forcing questions
Walk these one at a time before trusting the store.
1. Which line in your `CLAUDE.md` did you last actually read before acting?
2. Would you rather the agent forget a true thing, or remember a false one?
3. When two remembered rules disagree, who decides — and when?
4. What would make you delete `.memory/` entirely?
Rationale, open decisions, field schema: [`../../DESIGN.md`](../../DESIGN.md). 用户提示词模板
填充变量后发送,即可运行该技能: {{variables}}
[optional: status | why "<claim>" | a tier name] 变量
| 名称 | 必填 | 说明 | 示例 |
|---|
完整技能配置
标准 .aiskill 文件,提供 JSON 与 YAML 两种格式。
{
"format": "aiskill/v1",
"skill": {
"name": "agent-memory",
"slug": "agent-memory",
"version": "1.0.0",
"description": "Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.",
"category": "Development",
"tags": [
"ai-agents",
"agents"
],
"platforms": [
"chatgpt",
"claude-code",
"cursor"
],
"tested_environment": "Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and compatible agents",
"license": "MIT"
},
"prompts": {
"system": "# Agent Memory — promotion is earned, not asserted\r\n\r\n> **Portability:** stdlib only. No database, no embeddings, no network, no LLM calls.\r\n\r\n## The problem\r\n\r\nA project's `CLAUDE.md` is a memory system with one tier and no eviction: every\r\ndurable fact and every passing preference land in the same always-loaded file,\r\nuntil the important lines are diluted by the incidental ones. Facts learned\r\nmid-session vanish at teardown unless someone writes them down.\r\n\r\n**The fix is not more storage — it is a promotion ladder.** A claim earns its\r\nway toward always-loaded context by recurring; a human confirms the last step.\r\n\r\n## The four tiers\r\n\r\nTiers are distinguished by **injection policy**, not storage format.\r\n\r\n| Tier | Holds | Injected | Committed |\r\n|---|---|---|---|\r\n| **L0** | raw session transcripts | never | no (already on disk) |\r\n| **L1** | candidate atoms | on relevance, at prompt time | no (gitignored) |\r\n| **L2** | this project's context | every session start | yes, after adopt |\r\n| **L3** | stable cross-project persona | always | yes, after adopt |\r\n\r\n## The gates\r\n\r\nNothing moves up because it sounded important. It moves up because it recurred.\r\n\r\n- **L0 → L1** — an explicit marker fires (a directive, a correction, a stated\r\n preference, a named lesson, a reproducible failure). Rule-based, high\r\n precision, deliberately low recall.\r\n- **L1 → L2** — ≥ 3 distinct sessions spanning ≥ 2 distinct calendar days. A\r\n claim stated outright needs 2 sessions; the distinct-day rule still applies. A\r\n verified claim promotes on one observation and is the only day-exempt path.\r\n- **L2 → L3** — held in ≥ 2 distinct projects, aged ≥ 30 days, uncontested.\r\n\r\n**Two gates refuse rather than guess.** A claim whose text was altered by\r\nredaction never promotes on evidence alone — the flag firing is evidence the\r\nsource was sensitive, and a lexical filter finding one secret is not proof it\r\nfound all of them. A claim with an open contradiction is frozen at L1 until a\r\nhuman resolves it; the incumbent is never silently overwritten.\r\n\r\n## Use it\r\n\r\n```bash\r\n# what is remembered, and what is blocking the next promotion\r\npython3 scripts/memory_inspect.py --tier L1\r\n\r\n# where did this line come from — sessions, days, transcript, quoted source\r\npython3 scripts/memory_inspect.py --why \"PR base branch is dev\"\r\n\r\n# every claim with an open contradiction, both directions of the join\r\npython3 scripts/memory_inspect.py --contested\r\n\r\n# dry-run the promotion pass; writes nothing\r\npython3 scripts/memory_promote.py\r\n```\r\n\r\nThree hooks run the loop unattended: `SessionStart` injects L2 + L3,\r\n`UserPromptSubmit` recalls relevant L1 atoms, `SessionEnd` captures and stages.\r\nEach is disabled independently with `AGENT_MEMORY_SESSIONSTART=0`,\r\n`AGENT_MEMORY_USERPROMPTSUBMIT=0`, `AGENT_MEMORY_SESSIONEND=0`. Every hook fails\r\nopen: a broken memory system costs you memory, never a session.\r\n\r\n## Hard rules\r\n\r\n1. **Redact before writing.** Every atom passes the filter before it reaches\r\n disk. Anything altered is quarantined from promotion.\r\n2. **Propose, never apply.** Promotions land in `.memory/staged/`. Only an\r\n explicit `/cs-memory adopt` touches a `CLAUDE.md`, and it backs both up first.\r\n3. **Cite, don't invent.** Every atom carries a back-pointer to the transcript\r\n line that produced it. `--why` resolving to *ambiguous* prints nothing rather\r\n than guess: a wrong citation is worse than a missing one.\r\n4. **Never surface a contested claim as fact.** It is still injected — hiding\r\n the conflict is worse — but always tagged.\r\n5. **The committed tiers carry no paths.** Promotion strips the back-pointer\r\n prefix, which embeds an OS username.\r\n\r\n## Forcing questions\r\n\r\nWalk these one at a time before trusting the store.\r\n\r\n1. Which line in your `CLAUDE.md` did you last actually read before acting?\r\n2. Would you rather the agent forget a true thing, or remember a false one?\r\n3. When two remembered rules disagree, who decides — and when?\r\n4. What would make you delete `.memory/` entirely?\r\n\r\nRationale, open decisions, field schema: [`../../DESIGN.md`](../../DESIGN.md).",
"user_template": "[optional: status | why \"<claim>\" | a tier name]"
},
"variables": [],
"install": {
"steps": [
{
"title": "Download & unzip",
"detail": "Download the .zip package from SkillVault and unzip it. The agent-memory/ folder contains SKILL.md plus any companion scripts, references and assets."
},
{
"title": "Copy into your agent skills directory",
"detail": "Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session."
},
{
"title": "Use it",
"detail": "Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description."
}
]
},
"usage": {
"steps": []
},
"metadata": {
"author": "SkillVault",
"source": "https://skillvault.top/skills/agent-memory",
"exported_at": "2026-11-03T07:41:44.015Z"
}
} format: aiskill/v1
skill:
name: agent-memory
slug: agent-memory
version: 1.0.0
description: >-
Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn
durable facts from its own sessions instead — or when asking why the agent keeps re-learning the
same correction, why a remembered rule is wrong, or where a memory line came from. Implements a
four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where
promotion is earned by recurrence across sessions and days, never by one confident statement,
and nothing reaches a committed file without a human adopting it.
category: Development
tags:
- ai-agents
- agents
platforms:
- chatgpt
- claude-code
- cursor
tested_environment: >-
Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and
compatible agents
license: MIT
prompts:
system: "# Agent Memory — promotion is earned, not asserted\r\n\r\n> **Portability:** stdlib only. No database, no embeddings, no network, no LLM calls.\r\n\r\n## The problem\r\n\r\nA project's `CLAUDE.md` is a memory system with one tier and no eviction: every\r\ndurable fact and every passing preference land in the same always-loaded file,\r\nuntil the important lines are diluted by the incidental ones. Facts learned\r\nmid-session vanish at teardown unless someone writes them down.\r\n\r\n**The fix is not more storage — it is a promotion ladder.** A claim earns its\r\nway toward always-loaded context by recurring; a human confirms the last step.\r\n\r\n## The four tiers\r\n\r\nTiers are distinguished by **injection policy**, not storage format.\r\n\r\n| Tier | Holds | Injected | Committed |\r\n|---|---|---|---|\r\n| **L0** | raw session transcripts | never | no (already on disk) |\r\n| **L1** | candidate atoms | on relevance, at prompt time | no (gitignored) |\r\n| **L2** | this project's context | every session start | yes, after adopt |\r\n| **L3** | stable cross-project persona | always | yes, after adopt |\r\n\r\n## The gates\r\n\r\nNothing moves up because it sounded important. It moves up because it recurred.\r\n\r\n- **L0 → L1** — an explicit marker fires (a directive, a correction, a stated\r\n preference, a named lesson, a reproducible failure). Rule-based, high\r\n precision, deliberately low recall.\r\n- **L1 → L2** — ≥ 3 distinct sessions spanning ≥ 2 distinct calendar days. A\r\n claim stated outright needs 2 sessions; the distinct-day rule still applies. A\r\n verified claim promotes on one observation and is the only day-exempt path.\r\n- **L2 → L3** — held in ≥ 2 distinct projects, aged ≥ 30 days, uncontested.\r\n\r\n**Two gates refuse rather than guess.** A claim whose text was altered by\r\nredaction never promotes on evidence alone — the flag firing is evidence the\r\nsource was sensitive, and a lexical filter finding one secret is not proof it\r\nfound all of them. A claim with an open contradiction is frozen at L1 until a\r\nhuman resolves it; the incumbent is never silently overwritten.\r\n\r\n## Use it\r\n\r\n```bash\r\n# what is remembered, and what is blocking the next promotion\r\npython3 scripts/memory_inspect.py --tier L1\r\n\r\n# where did this line come from — sessions, days, transcript, quoted source\r\npython3 scripts/memory_inspect.py --why \"PR base branch is dev\"\r\n\r\n# every claim with an open contradiction, both directions of the join\r\npython3 scripts/memory_inspect.py --contested\r\n\r\n# dry-run the promotion pass; writes nothing\r\npython3 scripts/memory_promote.py\r\n```\r\n\r\nThree hooks run the loop unattended: `SessionStart` injects L2 + L3,\r\n`UserPromptSubmit` recalls relevant L1 atoms, `SessionEnd` captures and stages.\r\nEach is disabled independently with `AGENT_MEMORY_SESSIONSTART=0`,\r\n`AGENT_MEMORY_USERPROMPTSUBMIT=0`, `AGENT_MEMORY_SESSIONEND=0`. Every hook fails\r\nopen: a broken memory system costs you memory, never a session.\r\n\r\n## Hard rules\r\n\r\n1. **Redact before writing.** Every atom passes the filter before it reaches\r\n disk. Anything altered is quarantined from promotion.\r\n2. **Propose, never apply.** Promotions land in `.memory/staged/`. Only an\r\n explicit `/cs-memory adopt` touches a `CLAUDE.md`, and it backs both up first.\r\n3. **Cite, don't invent.** Every atom carries a back-pointer to the transcript\r\n line that produced it. `--why` resolving to *ambiguous* prints nothing rather\r\n than guess: a wrong citation is worse than a missing one.\r\n4. **Never surface a contested claim as fact.** It is still injected — hiding\r\n the conflict is worse — but always tagged.\r\n5. **The committed tiers carry no paths.** Promotion strips the back-pointer\r\n prefix, which embeds an OS username.\r\n\r\n## Forcing questions\r\n\r\nWalk these one at a time before trusting the store.\r\n\r\n1. Which line in your `CLAUDE.md` did you last actually read before acting?\r\n2. Would you rather the agent forget a true thing, or remember a false one?\r\n3. When two remembered rules disagree, who decides — and when?\r\n4. What would make you delete `.memory/` entirely?\r\n\r\nRationale, open decisions, field schema: [`../../DESIGN.md`](../../DESIGN.md)."
user_template: "[optional: status | why \"<claim>\" | a tier name]"
variables: []
install:
steps:
- title: Download & unzip
detail: >-
Download the .zip package from SkillVault and unzip it. The agent-memory/ folder contains
SKILL.md plus any companion scripts, references and assets.
- title: Copy into your agent skills directory
detail: >-
Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code),
.codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or
reload the session.
- title: Use it
detail: >-
Describe the task in natural language; the agent loads the skill automatically when the
request matches the skill description.
usage:
steps: []
metadata:
author: SkillVault
source: https://skillvault.top/skills/agent-memory
exported_at: "2026-11-03T07:41:44.015Z"
安装指南
- 1
Download & unzip
Download the .zip package from SkillVault and unzip it. The agent-memory/ folder contains SKILL.md plus any companion scripts, references and assets.
- 2
Copy into your agent skills directory
Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session.
- 3
Use it
Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description.
使用方法
平台兼容性
相关技能
agent-designer
Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-harness
Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).
agent-regression-evals
Use when an agent, prompt, model or tool change needs proof it did not make the agent worse — setting up a regression eval suite, deciding whether a pass-rate drop is real or noise, grading tool-call trajectories, finding flaky eval cases, or wiring an eval gate into CI that blocks the merge. Runs repeated trials, reports pass@k and pass^k, compares candidate to baseline with paired statistics, and refuses to pass a dropped case, a critical-case regression, or a forbidden tool call.