Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cloud99277/KitClawnpx agentmods add skills/cloud99277/kitclaw/memory-managerWrote 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/cloud99277/kitclaw/memory-manager)<a href="https://agentmods.dev/skills/cloud99277/kitclaw/memory-manager"><img src="https://agentmods.dev/badge/skills/cloud99277/kitclaw/memory-manager/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cloud99277/kitclaw/memory-manager"><img src="https://agentmods.dev/badge/skills/cloud99277/kitclaw/memory-manager.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00104 | $0.01451 |
| Opus 5.5 | $0.00042 | $0.00580 |
| Sonnet 5.5 | $0.00021 | $0.00290 |
| Haiku 4.5 | $0.00010 | $0.00145 |
Grade A, and why
memory-manager 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 1mo 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
memory-manager
跨 Agent 持久记忆管理 Skill，基于三层记忆模型（身份层 / 会话层 / 知识层）。
快速开始
检索记忆
# 全层检索
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词"
# 仅检索 L2 会话层（Whiteboard）
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --layer=L2
# 按项目过滤
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --project=agent-os
# 按领域搜索（仅限 L3，覆盖 config.json）
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --scope=dev # 研发领域
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --scope=content # 内容/社交
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --scope=personal # 个人领域
# 组合使用
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --scope=dev --layer=L3 --json
# 输出 JSON（供其他 skill 机器消费）
python3 ~/.ai-skills/memory-manager/scripts/memory-search.py "关键词" --json
更新记忆
# 从文字中直接写入
python3 ~/.ai-skills/memory-manager/scripts/memory-update.py --from-text "决定使用 JSON 而非 chromadb" --type=decision --project=agent-os
# 从文件中提取（Agent-guided：脚本展示文件内容和提取指令，由 Agent 逐条调用 --from-text 写入）
python3 ~/.ai-skills/memory-manager/scripts/memory-update.py --from-file conversation.md --project=agent-os
# 查看当前 Whiteboard
python3 ~/.ai-skills/memory-manager/scripts/memory-update.py --list
如果你要更方便地把当前任务/对话提炼成 1-3 条 L2 条目，优先用：
python3 ../l2-capture/scripts/l2_capture.py \
--project agent-toolchain \
--from-text "[decision] 共享稳定知识统一落到 20_Knowledge_Base" \
--apply
memory-update.py 仍然是底层入口；l2-capture 是更适合日常写入的上层封装。
监听知识库目录
# 安装稳定版 systemd 用户服务（推荐）
bash ~/.ai-skills/memory-manager/scripts/install-knowledge-watch-service.sh
# 启动目录监听
bash ~/.ai-skills/memory-manager/scripts/start-knowledge-watch.sh
# 查看状态
bash ~/.ai-skills/memory-manager/scripts/status-knowledge-watch.sh
# 停止监听
bash ~/.ai-skills/memory-manager/scripts/stop-knowledge-watch.sh
# 卸载稳定版服务
bash ~/.ai-skills/memory-manager/scripts/uninstall-knowledge-watch-service.sh
What ships with it
12 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.
- references/memory-architecture.md 1.1 KB
- references/whiteboard-template.md 1.2 KB
- scripts/ensure-knowledge-frontmatter.py 7.1 KB runs code
- scripts/install-knowledge-watch-service.sh 2.4 KB runs code
- scripts/l2_capture.py 244 B runs code
- scripts/memory-search.py 8.9 KB runs code
- scripts/memory-update.py 11 KB runs code
- scripts/start-knowledge-watch.sh 1.7 KB runs code
- scripts/status-knowledge-watch.sh 1.2 KB runs code
- scripts/stop-knowledge-watch.sh 841 B runs code
- scripts/uninstall-knowledge-watch-service.sh 1.5 KB runs code
- scripts/watch-knowledge-base.py 7.7 KB runs code
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.
- 1mo ago First seen · 142 lines · 104 tokens per session scan A 5fa4e049fdb7
memory-manager is a skill published in the GitHub repository cloud99277/KitClaw (5 stars, last pushed 6mo ago), licensed MIT. It adds 104 tokens to every session and 1,451 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…