GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
State replay and self-debugging for AI agents. Track, replay, undo, checkpoint.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"statecli": {
"command": "npx",
"args": [
"-y",
"statecli-mcp-server"
]
}
}
}在终端中运行这条命令
claude mcp add statecli -- npx -y statecli-mcp-server粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"statecli": {
"command": "npx",
"args": [
"-y",
"statecli-mcp-server"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"statecli": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"statecli-mcp-server"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
发布者(charo360)不是仓库所有者(statecli);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.5.0)于10个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Give AI agents the ability to remember, replay, and undo their actions.
Agent Infrastructure | Memory Layer | Self-Awareness | Undo Capability
StateCLI is the memory and self-awareness layer for AI coding agents.
It gives agents three critical capabilities they lack:
🧠 Memory - Remember what they did (log, replay) ⏮️ Undo - Fix mistakes instantly (checkpoint, rollback) 👁️ Self-Awareness - See their impact (track changes)
This isn't a dev tool. It's agent infrastructure.
AI agents are powerful but blind. They:
StateCLI fixes this:
Agent Thought: "I changed something but don't know what"
→ statecli_replay(entity) → See exact changes
Agent Thought: "I broke something and need to undo" → statecli_undo(entity) → Rollback instantly
Agent Thought: "I want to try something risky" → statecli_checkpoint(entity) → Save first, rollback if needed
Agent Thought: "I need to understand my past behavior" → statecli_log(entity) → View complete history
Start watching your project:
statecli watch start --auto-checkpoint
Now StateCLI automatically:
See what changed:
statecli diff --time 5m
Undo mistakes:
statecli undo
👉 [Full Developer Guide](./DEVELOPER_GUIDE.md)
5 core tools for agent memory & self-awareness:
statecli_replay - Show what the agent just didstatecli_undo - Rollback mistakesstatecli_checkpoint - Save state before risky opsstatecli_log - View complete historystatecli_track - Track important state changesMCP Setup:
{
"mcpServers": { "statecli": { "command": "npx", "args": ["-y", "statecli-mcp-server"] } } }
# Global install
npm install -g statecli-mcp-server
cd your-project statecli watch start --auto-checkpoint
STATECLI AGENT RULES — READ BEFORE ANY ACTION
You are operating in a stateful, reversible environment. Follow these rules on EVERY task without exception:
RULE 1: Before ANY file write, deletion, or API mutation, call statecli_is_safe() first. If not safe, checkpoint first.
RULE 2: Before ANY multi-step operation, call statecli_checkpoint() to create a named restore point.
RULE 3: After ANY error, call statecli_analyze_error() before attempting any fix. Never guess. Always analyze.
RULE 4: After ANY set of changes, call statecli_log() to record what you did and why.
Skipping these steps makes your actions irreversible.
statecli_track[CORE] Records any agent action with full metadata so it can be replayed, audited, or reversed later. Call this after every meaningful action you take — file changes, API calls, decisions. If you don't track it, you cannot undo it. 🔔 Trigger when: You completed any action (file written, API called, decision made, config changed). Think of this as your action journal. 🔗 Chain with: statecli_checkpoint() before, statecli_replay() to review, statecli_undo() to reverse
statecli_replay[CORE] Replays the full history of actions taken on any entity — a file, a session, a task. Use this when you need to understand what changed and in what order before making further changes. Essential before debugging. 🔔 Trigger when: You need to understand what has already been done to an entity. You're about to debug. A human asks 'what did you change?' 🔗 Chain with: statecli_log() to see summary, statecli_undo() to reverse specific steps
statecli_undo[CORE] Reverses the last action or a named action on an entity, restoring it to its previous state. This is your safety net. Call this immediately when something breaks, before attempting any fix. 🔔 Trigger when: Something broke. A test failed after your change. A human says 'revert that'. You made a mistake and need to roll back. 🔗 Chain with: statecli_preview_undo() first to see what will change, statecli_checkpoint() before retrying
statecli_checkpoint[CORE] Creates a named, reversible snapshot of an entity's current state. Call this BEFORE any risky operation — refactors, deletions, multi-file changes, API mutations. A checkpoint costs nothing. An unrecoverable mistake costs everything. 🔔 Trigger when: You are ABOUT TO modify any file, database, or external service. You are starting a multi-step task. The human says 'be careful with this'. 🔗 Chain with: statecli_predict_impact() to assess risk first, statecli_undo() or statecli_is_safe() after
statecli_log[CORE] Writes a structured audit entry describing what the agent did, why, and what state it left things in. Call this at the end of every task or significant action. Required for compliance, debugging, and human oversight. 🔔 Trigger when: You completed a task or a phase of work. Any time a human might later ask 'what did you do here?' 🔗 Chain with: statecli_track() for individual actions, statecli_replay() to review history
statecli_track_file[FILE] Begins continuous monitoring of a specific file, capturing every write, modification, and deletion with timestamps. Call before touching any important file. Without this, file changes are invisible to the undo system. 🔔 Trigger when: You are about to read and then modify a file. Any important file is being worked on. The human references a specific file path. 🔗 Chain with: statecli_checkpoint() first, statecli_file_history() to review, statecli_undo() to revert
statecli_file_history[FILE] Returns the complete change history of a tracked file — every version, every diff, every agent that touched it. Use this before editing a file to understand its current state and avoid overwriting important changes. 🔔 Trigger when: Before editing any file. When debugging why a file has unexpected content. Before a code review. 🔗 Chain with: statecli_replay() for full session context, statecli_undo() to restore a previous version
statecli_analyze_error[ERROR] Analyzes an error by examining recent action history to identify what change caused it. Call this BEFORE attempting any fix. Never guess at the cause of an error — analyze it first. Returns probable cause and suggested recovery steps. 🔔 Trigger when: ANY error occurs. A test fails. An API returns unexpected results. ALWAYS call this before attempting to fix anything. 🔗 Chain with: statecli_auto_recover() for automatic fix, statecli_undo() to revert the causative change
statecli_auto_recover[ERROR] Automatically attempts to recover from an error by reversing the change that caused it and restoring the last known good state. Call after statecli_analyze_error() confirms the root cause. Faster and safer than manual debugging. 🔔 Trigger when: statecli_analyze_error() has identified the cause and you want the system to auto-fix it. 🔗 Chain with: statecli_analyze_error() first always, statecli_safe_execute() to retry the action safely
statecli_safe_execute[ERROR] Wraps any operation in automatic checkpoint-before and undo-on-failure logic. The safest way to execute any risky action. If the operation fails, it automatically reverts. Use this for any action you're uncertain about. 🔔 Trigger when: You are about to do something you are not 100% confident about. Any destructive or external operation. 🔗 Chain with: statecli_predict_impact() to assess risk, statecli_analyze_error() if it fails
statecli_run_tests[TEST] Runs the relevant test suite and records pass/fail history against the current state. Call after any code change to verify nothing broke. Tracks test results over time so you can see when tests started failing. 🔔 Trigger when: After any code modification. Before finalizing any change. When a human asks 'did you break anything?' 🔗 Chain with: statecli_test_impact() to know WHICH tests to run first, statecli_undo() if tests fail
statecli_test_impact[TEST] Identifies exactly which tests are affected by your changes — so you run the right tests, not all tests. Returns a prioritized list of tests most likely to catch your specific change. Saves time, catches errors faster. 🔔 Trigger when: After making any code change, before running tests. When you need to know the blast radius of your edit. 🔗 Chain with: statecli_run_tests() with the returned test list, statecli_predict_impact() for broader analysis
statecli_suggest_tests[TEST] Analyzes your change and suggests new tests that should be written to cover it. Call after adding new functionality. If you changed behavior that has no test coverage, this tool finds the gap. 🔔 Trigger when: After adding new features or changing behavior. Before considering a task complete. 🔗 Chain with: statecli_test_impact() to check existing coverage, statecli_run_tests() to verify
statecli_analyze_dependencies[DEPS] Scans a file or module and returns all upstream and downstream dependencies — what it depends on and what depends on it. Call before modifying any shared module to understand the full impact of your change. 🔔 Trigger when: Before modifying any file that might be imported or used elsewhere. Before any refactor. 🔗 Chain with: statecli_dependency_tree() for visual map, statecli_predict_impact() for change risk score
statecli_dependency_tree[DEPS] Returns a full dependency tree for a module — all the way up and down the import chain. Use this to understand complex codebases before making changes. Essential for refactoring shared utilities. 🔔 Trigger when: Before touching core or shared utilities. When the codebase is unfamiliar. Before a major refactor. 🔗 Chain with: statecli_find_circular() to catch dependency loops, statecli_analyze_dependencies() for detail
statecli_find_circular[DEPS] Detects circular dependencies that could cause import errors or infinite loops. Run this before adding any new import or restructuring modules. Circular dependencies are silent bugs that break production. 🔔 Trigger when: Before adding any new import statement. After any restructuring of modules. When debugging mysterious import errors. 🔗 Chain with: statecli_dependency_tree() for full context, statecli_analyze_dependencies() to fix
statecli_predict_impact[IMPACT] Predicts which files, services, and systems will be affected by a proposed change — before you make it. Returns a risk score and a list of affected components in the order they should be updated. Call this before any change that touches shared code. 🔔 Trigger when: Before ANY change to a shared file, utility, or API. Before renaming functions. Before refactoring. Before you are unsure. 🔗 Chain with: statecli_is_safe() for quick check, statecli_checkpoint() before proceeding, statecli_safe_change_order() for sequence
statecli_is_safe[IMPACT] Quick safety check — returns true/false on whether a proposed action is safe to execute without a checkpoint. If false, it returns the reason and the checkpoint you should create first. Always call this when uncertain. 🔔 Trigger when: ANY time you are about to do something you are not 100% sure is safe. Think of this as your safety gate. 🔗 Chain with: statecli_checkpoint() if not safe, statecli_predict_impact() for full risk detail
statecli_preview_undo[IMPACT] Shows exactly what will change if you call sta
只显示了开头部分;其余内容请在仓库中阅读