agent-memory
Skill0 starsChanged 44 days agoLicence not identifiedView on GitHub
Keep a repo's hard-won facts (root causes, environment quirks, decisions, pitfalls) in .factory/memory/, each with the PR or issue it came from, so agents stop re-learning them. Use when starting any task in a repo with .factory/ (read the index), before re-deriving a root cause or debugging an environment problem (search first), when a person corrects you or tells you something twice, and at the end of a task to save what the next agent needs.
38 other projects use a version of this.
Adopted by
Most recently taken up by
- isaacbitran/agent-memorytheir own version, first seen Nov 8, 2026
- msking18/agent-memory-mcptheir own version, first seen Nov 8, 2026
- komluk/scaffoldingtheir own version, first seen Nov 7, 2026
- MemTether/MemTethertheir own version, first seen Nov 1, 2026
- tigerless-labs/agent-memorytheir own version, first seen Oct 22, 2026
- brianschroeder/simple-agent-memorytheir own version, first seen Oct 21, 2026
Used with
Projects with it also use observability, data-analysis and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
OpenAISkillobservability
Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.
Also in 4 projects that use this
shanggqmSkilldata-analysis
数据分析技能,提供结构化的数据查询、统计分析和报告生成工作流。当用户需要查询数据库、进行数据统计分析、生成分析报告时使用。按规范输出原始数据、计算结果、Markdown报告和HTML可视化报告。
Also in 3 projects that use this
VercelSkilltechnical-writing
Write, edit, review, or audit user-facing documentation for the eve repository. Use for changes under docs/, documentation tied to eve APIs or CLI behavior, docs work based on Slack or support feedback, and requests to make eve docs clearer, more natural, or less AI-patterned while verifying claims against current source, tests, CLI help, public releases, and repository conventions.
Also in 3 projects that use this
JetBrainsSkillwebapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Also in 4 projects that use this
AnthropicSkillpdf
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Also in 5 projects that use this
MicrosoftSkillapi-design
Guide for designing and documenting RESTful APIs. Use when asked to design an API, create endpoints, or document an API.
Also in 3 projects that use this
Other versions38 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 38
- tigerless-labs/agent-memory★ 4.3ksame name
- databricks/app-templates★ 218same name
- OpenHands/extensions★ 167same name
- JKHeadley/instar★ 86same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- VoDaiLocz/kilo-kit-mcp★ 28same name
- jayzeng/agentmemory★ 24same name
- komluk/scaffolding★ 16same name
- xChuCx/agent-memory★ 11same name
- t4sh/skills4sh★ 5same name
28 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/factory-setup/assets/AGENTS.mdAGENTS.md
- ambition-engineSkill
- code-review-loop-largeSkill
- code-review-loopSkill
- cross-platform-shellSkill
- factory-setupSkill
- issue-triageSkill
- local-code-reviewSkill
- model-routingSkill
- package-releaseSkill
- prose-cleanupSkill
- release-monitoringSkill
- run-ledgerSkill
- service-layerSkill
- skill-authoringSkill
- skill-feedback-loopSkill
- spec-writingSkill
- test-evidenceSkill
- visual-diffSkill
- worktree-isolationSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 4 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 33 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

