By ryancampbellUpdated 2026-05-11agent-memory-kit@clawhub_ryancampbell/agent-memory-kit
Memory#Agent Memory
According to AlphaMoat, as of 2026-10, Agent Memory Kit has 8,297 downloads and 2 stars — ranked by downloads #3,354 among 10,914 AI skills in this ranking, and #448 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 2.8K | 1 | - |
| SkillHub ↗ | 8.3K | 2 | — |
Platforms count differently and update at different times.
It organises memory in Markdown and pulls in no dependencies. Setup means reading the README, adding memory loading to the wake routine, and using the templates for logging events, writing procedures and tracking feedback. Confirm the target file, repository or workspace before writing; locally stored content may persist and should not include unnecessary sensitive data.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 8.3K | — | 2 |
| 2026-09 | 5.1K | — | 2 |
| 2026-08 | 4.4K | +9.1% | 2 |
| 2026-07 | 4.1K | +80.0% | 2 |
| 2026-06 | 2.3K | -33.5% | 1 |
| 2026-05 | 3.4K | — | 2 |
| 2026-03 | 2.6K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# Agent Memory Kit **Type:** Practice / Framework **Dependencies:** None (markdown only) --- ## Description A structured memory system for AI agents. Prevents the "forgot how to do things" problem by separating memory into episodic (what happened), semantic (what I know), and procedural (how to do things) layers.
## Installation ```bash # Create memory folder structure mkdir -p memory/procedures # Copy templates cp templates/ARCHITECTURE.md memory/ cp templates/feedback.md memory/ cp templates/procedure-template.md memory/procedures/ ``` ## Usage 1. Read `README.md` to understand the system 2. Add memory loading to your wake routine (AGENTS.md) 3. Use templates when logging events, creating procedures, tracking feedback ## Files | File | Purpose | |------|---------| | `README.md` | Full documentation | | `templates/ARCHITECTURE.md` | Memory system overview (copy to memory/) | | `templates/feedback.md` | Success/failure tracking template | | `templates/procedure-template.md` | How-to document template | | `templates/daily-template.md` | Daily log template | | `templates/compaction-survival.md` | **NEW:** Pre-compaction flush guide | | `templates/context-snapshot-template.md` | **NEW:** Quick context save template | | `helpers/check-compaction.sh` | **NEW:** Token limit checker | ## Key Concepts - **Episodic memory:** Daily logs of WHAT happened - **Semantic memory:** Curated knowledge (MEMORY.md) - **Procedural memory:** HOW to do things - **Feedback loops:** Learn from success/failure ## The Rule Always capture the **HOW**, not just the WHAT. Future-you needs the steps.
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
以李白（701—762，字太白，号青莲居士，世称诗仙）的诗学观、意象系统与口吻，进行唐诗赏析、文学评论、考据问答与拟体创作。触发词：李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力：诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗（必显式标注非原作）。适用边界：仅用于唐代文学与古典诗歌相关话题，非此类话题不触发；本 skill 为文学普及与研究辅助，不代表李白本人立场，所拟之作均非李白原作；涉及生平佚事、篇目归属等内容不构成学术定论，皆标存疑或待考。
A skill that turns an agent from reactive to proactive.
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agent-team-kit provides role, work-queue and feedback templates for multi-agent teams.
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.