ReadyAgents

Name: ReadyAgents
Author: readyagentsdev

作者：readyagentsdev版本 2.0.12i★ –i在你的电脑上运行

注册名称io.github.readyagentsdev/readyagents

安装

概览

作者提供的说明（英文原文）

Local YAML/JSON agent workflow CLI with approvals, resume, and optional stdio or loopback MCP HTTP.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

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。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "readyagents": {
      "command": "uvx",
      "args": [
        "readyagentsdev",
        "mcp",
        "serve"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add readyagents -- uvx readyagentsdev mcp serve

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "readyagents": {
      "command": "uvx",
      "args": [
        "readyagentsdev",
        "mcp",
        "serve"
      ]
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "readyagents": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "readyagentsdev",
        "mcp",
        "serve"
      ]
    }
  }
}

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。

它能做什么

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。

基础检查i

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6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 readyagentsdev 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
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“其他”中的其他服务器比较i

星标数多于此分类中其他 32398 个服务器的 0%
发布到注册中心的时间比此分类中其他 32398 个服务器的 52% 更新
基础检查结果等于或优于此分类中其他 32398 个服务器的 100%

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。

常见问题

ReadyAgents 安全吗？

它在 1 项适用的基础检查中通过了 1 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。

它需要哪些密钥或代码？

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。

它在我的电脑上运行还是在云端？

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）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（2.0.12）于36天前进入注册中心。

哪些应用可以使用它？

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 Python (uv)。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, AI Deprecations

替代选择

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

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

AI Deprecations

作者：aideprecations.com

AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.

在云端运行今天更新

安装

作者的 README

打开 README

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。

ReadyAgents Core

ReadyAgents runs YAML agent workflows locally. Every node is checkpointed, so a run pauses for human approval, resumes from where it stopped, and replays offline as a regression test. Your keys, your machine, no daemon.

Site: readyagents.dev. Repo: github.com/readyagentsdev/readyagents-core.

Tried it? Open an I-ran-this issue. We are not launching. We are listening.

This repository is the free core. You keep the provider account and the bill. Install with pip install readyagentsdev, or from this clone.

60-second start

Requires Python 3.11–3.14 on Linux, macOS, or Windows. Current version is 2.0.12. Install with pip install readyagentsdev, or from this clone. The 2 versions the core contract only; extras carry their own maturity tiers.

pip install readyagentsdev

readyagents new my-flow readyagents run my-flow/workflow.yaml readyagents runs list

The wheel ships the example workflows too — no clone needed:

readyagents new f --from-example calc_pipeline

readyagents run f/workflow.yaml

readyagents new --list-examples shows all of them.

Or from a clone:

git clone https://github.com/readyagentsdev/readyagents-core.git

cd readyagents-core python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -e . readyagents run examples/calc_pipeline.yaml readyagents runs list readyagents doctor

readyagents run examples/calc_pipeline.json is the same graph.

HITL next: docs/first-ten-minutes.md.

What it does

Define agent workflows as YAML or JSON (nodes + edges)
Run agent, tool, condition, transform, approval, parallel, include, foreach, and decide nodes. Agent nodes may declare a tools: allowlist for a bounded tool-use loop. type: decide is experimental; see docs/decisions.md.
Persist after every node and resume a paused or failed run from the last successful node
Inspect past runs: readyagents runs list / show / replay / fork / diff / freeze / report (local HTML)
Scaffold a starter: readyagents new my-flow (basic, approval, research, pipeline, review, foreach, agent-tools, gated, decide)
Builtin tools with zero extra servers: now, calc, json_get, list_dir, read_file, write_file
MCP client and server (readyagents mcp serve, readyagents mcp probe) with official tasks and MRTR approvals
Policy, spend ledger, budgets and caps: per-node token/cost, --estimate / --max-spend caps, model fallback, JSON logs

Beyond the core, 40+ opt-in extras ship in the same install — teams, studio, browser, knowledge, distillation, registry, environments and more. Each is listed with its maturity tier and its limits in docs/extras.md. None of them is required, and none of them changes how the core behaves.

The agent firewall (taint, tool policy, MCP pinning — security model, policy) is defence in depth, not a solution to prompt injection.

Architecture

flowchart LR

YAML[Workflow YAML/JSON] --> Engine subgraph Core["ReadyAgents Core"] Engine[Workflow engine] Tools[Builtin tools] LLM[BYOK LLM providers] MCP[MCP client / server] Packs[Pack loader] end Engine --> Tools Engine --> LLM Engine --> MCP Packs --> Engine Packs --> Tools LLM --> OpenAI[OpenAI] LLM --> Anthropic[Anthropic] LLM --> Compat[OpenAI-compatible]

CLI

Command	Purpose
`readyagents init`	Write `.env` from `.env.example` if missing
`readyagents new [name] [--template basic\	approval\	research\	pipeline\	review\	foreach\	agent-tools\	gated\	decide] [--from-example NAME] [--list-examples]`	Scaffold workflow + README + `.env.example` + local JSON Schema, or copy a shipped example
`readyagents import SOURCE PATH [--out DIR] [--explain SOURCE]`	Import n8n / LangGraph / CrewAI / trigger-action exports (structural translation only)
`readyagents validate PATH`	Schema-validate a workflow (source-located errors on failure)
`readyagents schema`	Print/write/check the generated workflow JSON Schema
`readyagents eval PATH`	Score a keyless fixture suite (exit 0/1)
`readyagents simulate PATH [...]`	Declaration-driven cases scored with eval; distinct failures frozen
`readyagents optimize PATH --eval SUITE`	Reflective prompt optimization against your eval suite
`readyagents prompts list` / `show` / `history` / `diff` / `rollback`	Versioned prompts beside the workflow; rollback restores exactly
`readyagents env status` / `history` / `diff` / `deploy`	Declared environments and pinned releases
`readyagents registry scan` / `annotate` / `check` / `list` / `show` / `stats` / `card` / `export`	Local agent inventory from declared roots (Annex VIII export is a draft)
`readyagents distill plan` / `dataset` / `train` / `evaluate` / `promote`	Local one-node adapters from consented runs (pack trains; holdout required)
`readyagents promote PATH --from SRC --to DST`	Copy a source pin onto a target after eval/fixture/bench/health/approval gates
`readyagents rollback --env NAME`	Restore the previous release atomically; never auto-forwards
`readyagents feedback export` / `stats`	Consent-gated correction datasets (production data)
`readyagents run PATH [--input KEY=VALUE] [--dry-run] [--approve NODE] [--reject NODE] [--decision-file FILE] [--actor NAME] [--pack PATH] [--policy PATH] [--estimate] [--max-spend USD] [--max-tokens N] [--label KEY=VALUE] [--sovereign] [--stream] [--env NAME]`	Execute (or `--estimate` without running). `--env` runs a pinned release. `--stream` is opt-in
`readyagents batch PATH --input-file FILE [--concurrency N] [--max-spend USD] [--out FILE]`	Foreground: one workflow, many JSONL/CSV rows (opt-in)
`readyagents attest RUN_ID`	Data-residency attestation (technical evidence, not legal compliance)
`readyagents bundle --out DIR`	Offline wheel set for `pip install --no-index --find-links`
`readyagents resume RUN_ID [--approve NODE] [--reject NODE] [--decision-file FILE] [--policy PATH]`	Resume a paused or failed run
`readyagents wake`	Evaluate wait conditions (lazy; starts no timer or daemon)
`readyagents event`	Inject a signed event (unsigned events are refused)
`readyagents policy check PATH`	Validate a firewall policy file (fail closed)
`readyagents policy explain PATH [--policy PATH]`	Show which tools each node may call and why
`readyagents evidence RUN_ID [--out DIR]`	Local evidence pack
`readyagents audit verify [--file PATH]`	Walk the hash-chained audit trail
`readyagents spend [--since DATE] [--by day\	workflow\	model\	actor\	label]`	TokenOps: aggregate the local spend ledger (informational vs the provider invoice)
`readyagents graph PATH`	Deterministic Mermaid routing (executes nothing)
`readyagents decide RUN_ID [--file FILE \	--node ID --decision approve] [--token-file JWT] [--actor NAME] [--reason TEXT]`	Inject an approval; `--actor` stays the default, `--token-file` identifies
`readyagents approvals list [--role ROLE] [--actor NAME] [--expiring-within 1h]`	Queue of paused gates the caller may see
`readyagents delegate --from A --to B --until TS [--scope ROLE]`	Time-bounded, single-hop, revocable approval delegation
`readyagents delegations list \	revoke ID`	List or revoke local delegations
`readyagents identity verify --token-file JWT`	Verify an assertion against local trust anchors
`readyagents identity whoami`	Workload fingerprint (never the private key)
`readyagents runs list`	List persisted runs
`readyagents runs show RUN_ID`	Node timeline + stored state (`inspect` is an alias)
`readyagents runs report RUN_ID`	Local HTML summary of a run
`readyagents runs replay RUN_ID`	New run from stored inputs
`readyagents runs delete RUN_ID --yes`	Delete one local run record
`readyagents runs gc --yes`	Prune succeeded/failed/cancelled runs (paused kept; in-window records refused unless `--override-retention`)
`readyagents runs fork` / `diff` / `freeze` / `migrate`	Time machine: fork a run, diff two, freeze a cassette, migrate JSON→SQLite
`readyagents connectors list` / `show` / `test`	Small governed catalog (`rest`, `sql`, `object_storage`, `message`, `ingest`) — not 500 SaaS
`readyagents sign` / `verify` / `lock` / `sbom` / `trust`	Supply-chain: signatures prove origin, not safety
`readyagents approvals serve`	Foreground localhost approval page
`readyagents studio [--port 8790] [--open] [--read-only]`	Foreground localhost canvas and run inspector
`readyagents models list` / `show` / `route --explain`	Dry model catalog and routing explain (no provider call)
`readyagents mcp serve`	Stdio MCP server (builtin tools); `--json` prints protocol versions
`readyagents mcp probe URL`	Read-only `server/discover` diagnostic (never calls a tool)
`readyagents a2a serve PATH`	Foreground A2A door for one workflow (loopback by default)
`readyagents a2a card PATH`	Deterministic Agent Card (no network)
`readyagents a2a probe URL`	Read-only remote card diagnostic (no secret values)
`readyagents memory list` / `show` / `search` / `forget` / `export`	Local scoped memory (offline except optional embeddings)
`readyagents knowledge ...`	Ingest, sync, cite, and forget knowledge documents (foreground only)
`readyagents table ...`	Inspect intermediate tables: head, schema, stats
`readyagents triggers ...`	Inspect declared triggers, dry-run mappings, list events (starts no listener)
`readyagents skills ...`	Install, list, export, and remove Agent Skills (open format; no marketplace)
`readyagents agents-md`	Emit project context: how to run, validate, and test workflows here
`readyagents package ...`	Build, install, and catalog workflow packages (review-before-install)
`readyagents health`	Cluster failures by fingerprint over the run store (no daemon, no telemetry)
`readyagents bench ...`	Offline-by-default benchmark suite with labelled engine vs live timing

Examples (no keys unless noted)

File	What it shows
`examples/calc_pipeline.yaml`	Builtin tools, transform, condition
`examples/calc_pipeline.json`	Same graph as `calc_pipeline.yaml`
`examples/approval_gate.yaml`	Human-in-the-loop pause / resume
`examples/ollama_local.yaml`	Keyless loopback OpenAI-compat path (no live model)
`examples/quorum_gate.yaml`	Two-approver gate (keyless)
`examples/expiring_gate.yaml`	Lazy deadline, `on_expire: reject` (keyless)
`examples/multi_gate.yaml`	Two sequential approval gates
`examples/fanout_gate.yaml`	Parallel branches + approval
`examples/include_demo.yaml`	Sub-workflow `include` (`new --from-example`)
`examples/composed_gate.yaml`	Include + parallel + approval (`new --from-example`)
`examples/research_brief.yaml`	Agent node (needs a key)
`examples/support_triage.yaml`	Classify then branch (needs a key)

| `examples/code_r

只显示了开头部分；其余内容请在仓库中阅读