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agents-project-memoryAgent 项目记忆

Agent Skill

agents-project-memory 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,862

周安装

80

GitHub Stars

60

下载量

653
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agents-project-memory(Agent 项目记忆)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/agents-project-memory
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill agents-project-memory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill agents-project-memory

简介

agents-project-memory 配置项目记忆以稳定跨会话的代理指令,降低令牌开销。

  • 推荐使用 AGENTS.md 为主文件并通过 symlink 关联 CLAUDE.md,实现统一维护。
  • 支持组织级策略与项目级规则的分离管理,提升大型团队协作效率。
  • 涉及符号链接和文件同步,需确认操作系统对软连接的支持情况。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Project Memory for Claude Code + Codex (Jan 2026)

Configure project memory so Claude Code and Codex get stable, scoped instructions across sessions while keeping token cost low. Use a single source of truth: keep AGENTS.md as primary and symlink CLAUDE.md to it.

Quick Reference

Memory TypeTypical LocationPurpose
Managed policyOS-dependent (see official docs)Organization-wide standards (security, compliance)
Project memory./AGENTS.md (primary) + ./CLAUDE.md (symlink → AGENTS.md)Shared project context and conventions
Project rules./.claude/rules/*.mdModular, topic-focused rules (testing, security, style)
User memory~/.claude/CLAUDE.mdPersonal preferences across projects
Project memory (local)./CLAUDE.local.md (git-ignored)Local-only, project-specific preferences

How Loading Works (High Level)

Claude Code (CLAUDE.md symlink):

  • Recursive loading: from the current working directory up to (but not including) filesystem root (/).
  • On-demand loading: nested CLAUDE.md files under the cwd are loaded only when Claude reads files in those subtrees.
  • Imports: @path/to/file pulls in additional context (max depth: 5; ~ supported).

Codex (AGENTS.md primary):

  • Reads AGENTS.md in the repo root or working directory.
  • Keep it concise; mirror the same content as CLAUDE.md when supporting both tools.

Workflow (Best Practice)

  1. Start with a minimal primary memory file (AGENTS.md, 50–120 lines): what the project is, how it's shaped, and the "must not break" rules.
  2. Move long or fragile guidance into .claude/rules/ (one topic per file).
  3. Use @imports as navigation for detailed docs instead of copying them into memory.
  4. Treat memory like code: PR review, ownership, and periodic cleanup (remove dead rules).
  5. For UI changes, confirm the specific values (colors, prices, text) before starting implementation to avoid rework.
  6. For feature delivery, prefer one worktree per feature, run project quality gates, then open one focused PR.

Execution Workflow (Worktree + Gate + PR)

When repositories include a workflow script (for example scripts/git/feature-workflow.sh), prefer this sequence for AI coding sessions:

# 1) Create isolated branch/worktree
./scripts/git/feature-workflow.sh start <feature-slug>
cd .worktrees/<feature-slug>

# 2) Implement + commit
git add -A
git commit -m "feat: <summary>"

# 3) Run project quality gate (example)
../../scripts/git/feature-workflow.sh gate

# 4) Open PR (gate may run again)
../../scripts/git/feature-workflow.sh pr --title "feat: <summary>"

If no helper script exists, use native git worktrees and apply the same policy:

  • one feature per worktree
  • one focused PR per feature
  • run repo-specific gate(s) before PR creation

Rules With Optional Path Scope

Create .claude/rules/testing.md, .claude/rules/security.md, etc. If a rule only applies to a slice of the repo, scope it:

---
paths:
  - "src/api/**/*.ts"
---

Commands (Claude Code)

  • > /memory to view and directly edit memories.
  • > /init to bootstrap project memory (see official docs for current behavior).

Commands (Codex)

  • Edit AGENTS.md directly; no special memory command is required.

Cross-Platform Strategy (AGENTS.md + CLAUDE.md)

If you support multiple coding assistants, keep one canonical file and mirror it:

  • macOS/Linux: CLAUDE.md should be a symlink to AGENTS.md.
  • Windows: prefer copying (or a small sync script) over symlinks unless Developer Mode is enabled.

Avoid tool-specific claims in the memory file; keep it portable and strictly project-focused.

Token-Budget Profile for Project Memory

When sessions repeatedly include very large memory payloads, apply this compact profile.

Compact Profile Rules

  1. Keep AGENTS.md short (target 50-120 lines).
  2. Move long catalogs/checklists to skill docs and reference them by path.
  3. Keep one canonical policy statement per topic; link instead of repeating.
  4. Prefer "read-on-demand" instructions over embedding full inventories in every session.
  5. Maintain a short runtime memory and a fuller reference doc when needed.

Suggested Split

  • AGENTS.md (runtime): project goal, hard constraints, workflow rules, critical safety constraints.
  • docs/* or skill references: long lists, examples, optional playbooks, large inventories.

Quality Gate

If startup memory exceeds practical context budgets, trim before adding new rules.

Validation (Fast Checks)

  • Run the bundled linter: bash frameworks/shared-skills/skills/agents-project-memory/scripts/lint_claude_memory.sh.
  • Manually scan for unresolved @imports and secrets before merging memory changes.

Resources

ResourcePurpose
references/memory-patterns.mdPatterns and anti-patterns
references/memory-examples.mdFull examples by stack
references/large-codebase-strategy.md100K–1M LOC strategy
data/sources.jsonOfficial links

Related Skills

SkillPurpose
agents-skillsSkill creation patterns
agents-subagentsAgent/subagent setup
docs-codebaseRepo documentation patterns

Fact-Checking

  • Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers.
  • Prefer primary sources; report source links and dates for volatile information.
  • If web access is unavailable, state the limitation and mark guidance as unverified.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.88%
按下载量换算247

Claude

29.66%
按下载量换算194

Cursor

17.73%
按下载量换算116

Gemini CLI

8.26%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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