체크포인트, human-in-the-loop 승인, 내장 도구 실행 기능을 갖춘 로컬 YAML/JSON 에이전트 워크플로우 실행 도구입니다.
다른 이름 readyagentsdev/readyagents-core, readyagents-core, readyagentsdev
- 스타
- 1
- Tools
- —
- 다운로드, 30일
- 492
- 최신 버전
- 2.0.12
- 마지막 커밋
- 2026년 9월 30일
- 라이선스
- Apache-2.0
ReadyAgents MCP란?
ReadyAgents은(는) MCP server입니다. 체크포인트, human-in-the-loop 승인, 내장 도구 실행 기능을 갖춘 로컬 YAML/JSON 에이전트 워크플로우 실행 도구입니다.
프로젝트 README에서 생성된 요약
ReadyAgents MCP server 정보
ReadyAgents를 사용하면 개발자가 YAML 또는 JSON 파일을 사용하여 에이전트 워크플로우를 로컬에서 정의하고 실행할 수 있습니다. 이 도구는 모든 노드가 체크포인트로 저장되는 워크플로우 엔진 역할을 하며, 사용자가 human-in-the-loop 승인을 위해 실행을 일시 중지하고 중단된 정확한 지점부터 재개할 수 있도록 지원합니다. 백그라운드 데몬 없이 로컬 머신에서 실행되므로 데이터와 프로바이더 계정에 대한 완전한 제어권을 유지할 수 있습니다.
사용자는 agent, tool, condition, transform, parallel 노드를 포함한 다양한 노드 유형을 사용하여 복잡한 그래프를 구축할 수 있습니다. 시스템에는 read_file, write_file, calc와 같은 도구가 내장되어 있어 기본적인 작업을 수행하는 데 별도의 서버가 필요하지 않습니다. 또한 특정 명령어를 통해 MCP client 및 server 기능을 지원합니다. 개발자는 노드별 토큰 제한, 지출 한도, 도구 허용 목록을 통해 비용과 보안을 관리할 수 있습니다.
설치를 위해서는 Linux, macOS 또는 Windows 환경에서 Python 3.11부터 3.14 버전이 필요합니다. 핵심 엔진은 무료이지만, OpenAI 또는 Anthropic과 같은 LLM 프로바이더를 사용하기 위한 API 키는 사용자가 직접 제공해야 합니다. CLI는 회귀 테스트를 위한 실행 재현, 지출 내역 검사, 템플릿을 이용한 새 워크플로우 스캐폴딩 등 광범위한 관리 기능을 제공합니다.
활용 사례
- 1승인 단계가 포함된 에이전트 워크플로우 실행개발자가 다음 단계로 넘어가기 전 수동 개입을 위해 일시 중지되는 워크플로우를 실행할 수 있습니다.
- 2에이전트 회귀 테스트 수행과거 실행 데이터를 사용하여 워크플로우를 재현함으로써 새로운 변경 사항이 기존 로직을 망가뜨리지 않는지 확인할 수 있습니다.
- 3LLM 운영 비용 관리USD 단위의 최대 지출 한도를 정의하여 에이전트 실행에 대한 엄격한 재무적 경계를 설정할 수 있습니다.
프로젝트의 README를 바탕으로 작성되었습니다. 모든 활용 사례는 해당 내용의 인용문과 대조하여 확인합니다.
ReadyAgents MCP 설치 방법
형식 확인: 2026년 11월 10일Cursor에 추가Goose에 추가Claude Code에 ReadyAgents MCP 설치
$ claude mcp add readyagents-core -- uvx readyagentsdevCursor에 ReadyAgents MCP 설치
~/.cursor/mcp.json
{
"mcpServers": {
"readyagents-core": {
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}VS Code에 ReadyAgents MCP 설치
.vscode/mcp.json
{
"servers": {
"readyagents-core": {
"type": "stdio",
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}VS Code CLI에 ReadyAgents MCP 설치
$ code --add-mcp '{"name":"readyagents-core","type":"stdio","command":"uvx","args":["readyagentsdev"]}'Claude Desktop에 ReadyAgents MCP 설치
claude_desktop_config.json
{
"mcpServers": {
"readyagents-core": {
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}Codex에 ReadyAgents MCP 설치
$ codex mcp add readyagents-core -- uvx readyagentsdevCodex config.toml에 ReadyAgents MCP 설치
~/.codex/config.toml
[mcp_servers.readyagents-core] command = "uvx" args = ["readyagentsdev"]
Gemini CLI에 ReadyAgents MCP 설치
$ gemini mcp add -s user readyagents-core uvx -- readyagentsdevGemini settings.json에 ReadyAgents MCP 설치
~/.gemini/settings.json
{
"mcpServers": {
"readyagents-core": {
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}자동 검사
2026년 11월 15일에 실행됨전체 보고서 →자동 검사를 통과했습니다. 이는 보안 감사가 아닙니다. 코드를 직접 읽고 서버에 필요한 최소한의 권한만 부여하십시오. 검사 방식
- 소스 저장소 연결 및 접근 가능readyagentsdev/readyagents-core is public and reachablegithub.com/readyagentsdev/readyagents-core ↗통과
- 패키지가 이 저장소를 소스로 명시readyagentsdev names readyagentsdev/readyagents-core as sourcepypi.org/project/readyagentsdev/ ↗통과
- 빌드 출처(Sigstore 증명)Sigstore attestation for readyagentsdevpypi.org/project/readyagentsdev/ ↗통과
- 오픈 소스 라이선스 (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗통과
- 최근 1년 내 커밋 또는 릴리스Last commit or release 2026-09-30github.com/readyagentsdev/readyagents-core ↗통과
- OpenSSF Scorecard검사되지 않음
- 패키지 이름이 인기 패키지와 유사하지 않음No popular package one edit away from readyagentsdev통과
- 패키지 및 해당 종속성에 중요한 보안 권고 없음16 resolved dependencies checked; no critical advisoryosv.dev ↗통과
- 모델에 대한 숨겨진 지침 없음0 tool descriptions and the README read; no override phrases, credential paths or hidden characters통과
- 파괴적인 도구에 라벨 표시됨검사되지 않음
- 원격 엔드포인트가 MCP 핸드셰이크에 응답검사되지 않음
README
GitHub에서 보기ReadyAgents 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: decideis 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-spendcaps, 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 |
readyagents sessions ... |
List, show, close, replay, and freeze conversational sessions (turns are runs) |
readyagents serve ... |
Foreground loopback surfaces (stops with the process) |
readyagents packs [--pack PATH] |
List installed / local packs |
readyagents doctor |
Read-only platform / extras / permissions / loopback / run-store / sovereign diagnostic |
readyagents version |
Print version |
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_review.yaml |
read_file + review (needs a key) |
examples/agent_tools.yaml |
Agent tools: [calc] (needs a key; --dry-run is keyless) |
examples/foreach_calc.yaml |
Sequential foreach + calc (no keys) |
examples/policy_gated.yaml |
Policy gate on tainted write_file (no keys) |
examples/readyagents.policy.yaml |
Starter firewall policy |
examples/json_mutate.yaml |
json_set / json_merge (no keys) |
examples/table_pipeline.yaml |
type: table + type: classify (validate keyless) |
examples/list_dir.yaml |
Builtin list_dir (no keys, no MCP, no Node) |
examples/eval/pass.yaml |
Keyless readyagents eval fixture suite |
examples/a2a_delegate.yaml |
type: a2a dry-run (no network) |
examples/memory_triage.yaml |
type: memory write then search (keyless) |
examples/code_reshape.yaml |
type: code JSON in/out (keyless, subprocess) |
examples/batch_echo.yaml |
Keyless readyagents batch row echo (batch_rows.jsonl / .csv) |
examples/connector_rest.yaml |
Keyless rest connector against a local fixture |
examples/connector_demo.yaml |
Local --pack connector (examples/packs/connector_pack.py) |
examples/gated_write.yaml |
Approval then write_file (no keys) |
examples/env/echo.yaml |
Keyless env deploy + run --env (examples/env/readyagents.env.yaml) |
Docs
- Why ReadyAgents?
- Getting started
- First ten minutes
- Concepts
- Configuration (BYOK)
- Workflows
- Authoring (JSON Schema, editors, located errors)
- Connectors (small catalog; write-shaped ops gate by default)
- Sovereign mode (in-process egress refuse, not an OS sandbox)
- Cost / TokenOps (informational vs the provider invoice)
- Time machine (record / replay / fork / diff / freeze)
- MCP · MCP paste catalog
- A2A (untrusted remote content; delegation can exfiltrate; not certification)
- Memory (untrusted; delayed injection and scope escape)
- Scale and batch (opt-in foreground batch; benchmarks labelled engine vs live)
- Streaming (opt-in
--stream; not audio) - Guardrails / output contracts (opt-in
contract:; declared rules) - Multi-agent teams (opt-in
type: team; closed members; no quality claim) - Model routing (opt-in
routing:; declared policy) - Multimodal I/O (opt-in
MediaPart/type: document/type: transcribe; extras; not an OCR claim) - Knowledge pipelines (opt-in
type: ingest; citations/freshness) - Data pipelines (opt-in
type: table/type: classify) - Long-horizon waits (opt-in
type: wait; lazywake) - Event triggers (opt-in
triggers:; no listener in core; at-least-once plus idempotency) - Agent Skills (opt-in
type: skill; open format) - Governed browser use (opt-in
type: browser; declared actions; no CAPTCHA; optional pack) - Conversational sessions (opt-in
type: converse; loopbackserve chat; no audio in core) - Environments and rollout (opt-in
readyagents.env.yaml; pinned releases; gated promote) - Migration (opt-in
readyagents import; structural translation only) - Agent registry (opt-in
readyagents registry; declared roots; draft Annex VIII export) - Distillation (opt-in
readyagents distill; pack-owned training; holdout-gated adapters) - Packaging (opt-in
readyagents package; review-before-install) - Simulation (opt-in
readyagents simulate; declaration-driven cases) - Self-healing (opt-in
readyagents health/recovery:; fingerprints and fail-safe gates) - Benchmarks (opt-in
readyagents bench; offline cassettes) - Packs
- Supply-chain trust (signatures prove origin, not safety)
- Continuous pack (optional, separate distribution)
- Platform support
- CLI
- Compliance evidence (Articles 12–14 mapping; not certification)
- Observability
- Changelog
- Release notes 2.0.12
Install extras
LLM and MCP extras are optional.
pip install "readyagentsdev[openai]"
pip install "readyagentsdev[anthropic]"
pip install "readyagentsdev[gemini]"
pip install "readyagentsdev[bedrock]"
pip install "readyagentsdev[vertex]"
pip install "readyagentsdev[mcp]"
pip install "readyagentsdev[all]"
pip install "readyagentsdev[image]"
pip install "readyagentsdev[pdf]"
pip install "readyagentsdev[audio]"
pip install "readyagentsdev[table]"
From a clone, the same extras are pip install -e ".[openai]" (and anthropic /
gemini / bedrock / vertex / mcp / all). The optional [otel] extra is
not included in [all]; it starts no collector (see
observability.md). The optional [sign] extra (Ed25519
artifact signatures), [jwt], [gemini], [bedrock], [vertex], [image],
[pdf], [audio], and [table] extras are also not in [all]. Unsigned default runs
never import them. Codecs are extras; core installs stay text-only. Pandas is
optional for table ops; stdlib is sufficient.
Then cp .env.example .env and paste your own keys. Core workflows that only use builtin tools do not need extras, keys, or Node.js.
docker compose run --rm readyagents run examples/calc_pipeline.yaml
make smoke
What is not in this repository
Always-on packs are waitlisted and not for sale.
Always-on / continuous workers are not in Core. The optional readyagents-pack-continuous distribution (separate repository, not a Core extra) can run configured workflows from an explicit foreground command. Installing Core still starts no scheduler or listener.
Hosted control plane. Hosted recovery and remote run stores. SSO, multi-tenant teams, billing.
The core has persist, resume, and approval pauses for a local one-shot. It does not run always-on.
License
Apache License 2.0. See LICENSE.
Security
Please report vulnerabilities as described in SECURITY.md. Public contact: info@readyagents.dev. Do not commit API keys. Local operator files such as .env are gitignored.
ReadyAgents MCP 질문
ReadyAgents MCP를 Claude Code에 추가하려면 어떻게 하나요?
터미널에서 claude mcp add readyagents-core -- uvx readyagentsdev를 실행합니다. 모든 프로젝트에서 사용할 수 있게 하려면 --scope user를 추가합니다.
ReadyAgents MCP를 Cursor에 추가하려면 어떻게 하나요?
~/.cursor/mcp.json를 열고 mcpServers 아래에 서버를 추가합니다. 위 설치 섹션에 표시된 Cursor 구성을 사용합니다.
ReadyAgents를 어떻게 설치하나요?
pip install readyagentsdev 명령어를 사용하여 pip로 설치하거나 저장소를 클론하여 설치할 수 있습니다.
일시 중지되거나 실패한 워크플로우를 재개할 수 있나요?
네, 엔진이 모든 노드마다 상태를 저장하므로 일시 중지되거나 실패한 실행을 마지막으로 성공한 노드부터 재개할 수 있습니다.
ReadyAgents를 실행하려면 데몬이 필요한가요?
아니요, 데몬 없이 로컬 머신에서 바로 실행됩니다.