Checkpointing, insan onaylı (human-in-the-loop) süreçler ve yerleşik araç yürütme özellikleriyle yerel YAML/JSON ajan iş akışlarını çalıştırır.
Ayrıca bilinen adı readyagentsdev/readyagents-core, readyagents-core, readyagentsdev
- Yıldızlar
- 1
- Araçlar
- —
- İndirmeler, 30 gün
- 492
- En son sürüm
- 2.0.12
- Son commit
- 30 Eyl 2026
- Lisans
- Apache-2.0
ReadyAgents MCP nedir?
ReadyAgents bir MCP sunucusudur. Checkpointing, insan onaylı (human-in-the-loop) süreçler ve yerleşik araç yürütme özellikleriyle yerel YAML/JSON ajan iş akışlarını çalıştırır.
Özet, projenin README dosyasından oluşturuldu
ReadyAgents MCP sunucusu hakkında
ReadyAgents, geliştiricilerin YAML veya JSON dosyalarını kullanarak ajan tabanlı iş akışlarını yerel olarak tanımlamasına ve yürütmesine olanak tanır. Her düğümün checkpoint alındığı bir iş akışı motoru olarak çalışır; bu da kullanıcıların insan onaylı (human-in-the-loop) süreçler için duraklatma yapabilmesini ve tam kesinti noktasından devam edebilmesini sağlar. Arka planda bir daemon çalıştırmadan kendi makinenizde çalıştığı için verileriniz ve sağlayıcı hesaplarınız üzerinde tam kontrole sahip olursunuz.
Kullanıcılar; ajan, araç (tool), koşul (condition), dönüştürme (transform) ve paralel düğümler dahil olmak üzere çeşitli düğüm türlerini kullanarak karmaşık grafikler oluşturabilir. Sistem; read_file, write_file ve calc gibi yerleşik araçlar içerir, bu nedenle temel görevler için ekstra sunuculara ihtiyaç duyulmaz. Ayrıca belirli komutlar aracılığıyla MCP istemci ve sunucu yeteneklerini de destekler. Geliştiriciler, düğüm başına token limitleri, harcama sınırları ve araç izin listeleri (allowlists) aracılığıyla maliyetleri ve güvenliği yönetebilir.
Kurulum için Linux, macOS veya Windows üzerinde Python 3.11 ile 3.14 arası bir sürüm gereklidir. Çekirdek motor ücretsiz olsa da, kullanıcılar OpenAI veya Anthropic gibi LLM sağlayıcıları için kendi API anahtarlarını sağlamalıdır. CLI; regresyon testi için çalışmaları yeniden oynatma, harcama defterlerini inceleme ve şablonlardan yeni iş akışları oluşturma gibi kapsamlı yönetim yetenekleri sunar.
Neler yapabilirsiniz
- 1Kısıtlı ajan iş akışlarını yürütmeBir geliştirici, bir sonraki adıma geçmeden önce manuel müdahale için duraklayan bir iş akışını çalıştırabilir.
- 2Ajanlar üzerinde regresyon testi yapmaGeçmiş yürütme verilerini kullanarak iş akışlarını yeniden oynatabilir ve yeni değişikliklerin mevcut mantığı bozmadığından emin olabilirsiniz.
- 3LLM operasyonel maliyetlerini yönetmeUSD cinsinden maksimum harcama limitleri tanımlayarak ajan yürütme işlemleri üzerinde katı finansal sınırlar belirleyebilirsiniz.
Projenin README dosyasından alınmıştır. Her kullanım durumu, oradaki bir alıntı ile kontrol edilir.
ReadyAgents MCP nasıl yüklenir
Biçimler 10 Kas 2026 tarihinde doğrulandıCursor'a ekleGoose'a ekleReadyAgents MCP'yi Claude Code içine yükleyin
$ claude mcp add readyagents-core -- uvx readyagentsdevReadyAgents MCP'yi Cursor içine yükleyin
~/.cursor/mcp.json
{
"mcpServers": {
"readyagents-core": {
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}ReadyAgents MCP'yi VS Code içine yükleyin
.vscode/mcp.json
{
"servers": {
"readyagents-core": {
"type": "stdio",
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}ReadyAgents MCP'yi VS Code CLI içine yükleyin
$ code --add-mcp '{"name":"readyagents-core","type":"stdio","command":"uvx","args":["readyagentsdev"]}'ReadyAgents MCP'yi Claude Desktop içine yükleyin
claude_desktop_config.json
{
"mcpServers": {
"readyagents-core": {
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}ReadyAgents MCP'yi Codex içine yükleyin
$ codex mcp add readyagents-core -- uvx readyagentsdevReadyAgents MCP'yi Codex config.toml içine yükleyin
~/.codex/config.toml
[mcp_servers.readyagents-core] command = "uvx" args = ["readyagentsdev"]
ReadyAgents MCP'yi Gemini CLI içine yükleyin
$ gemini mcp add -s user readyagents-core uvx -- readyagentsdevReadyAgents MCP'yi Gemini settings.json içine yükleyin
~/.gemini/settings.json
{
"mcpServers": {
"readyagents-core": {
"command": "uvx",
"args": [
"readyagentsdev"
]
}
}
}Otomatik kontroller
Çalıştırıldı 15 Kas 2026Tam rapor →Otomatik kontrollerimizden geçti. Bu bir güvenlik denetimi değildir: kodu okuyun ve sunucuya ihtiyaç duyduğu en dar erişimi verin. Kontroller nasıl çalışır
- Kaynak deposu bağlantılı ve erişilebilirreadyagentsdev/readyagents-core is public and reachablegithub.com/readyagentsdev/readyagents-core ↗Geçti
- Paket, bu depoyu kaynağı olarak gösteriyorreadyagentsdev names readyagentsdev/readyagents-core as sourcepypi.org/project/readyagentsdev/ ↗Geçti
- Derleme kökeni (Sigstore onayı)Sigstore attestation for readyagentsdevpypi.org/project/readyagentsdev/ ↗Geçti
- Açık kaynak lisansı (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Geçti
- Son bir yıl içinde commit veya sürüm mevcutLast commit or release 2026-09-30github.com/readyagentsdev/readyagents-core ↗Geçti
- OpenSSF ScorecardKontrol edilmedi
- Paket adı popüler bir pakete yakın değilNo popular package one edit away from readyagentsdevGeçti
- Pakette veya bağımlılıklarında kritik uyarı yok16 resolved dependencies checked; no critical advisoryosv.dev ↗Geçti
- Modele yönelik gizli talimat yok0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersGeçti
- Yıkıcı araçlar etiketlenmişKontrol edilmedi
- Uzak uç nokta MCP el sıkışmasına yanıt veriyorKontrol edilmedi
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: 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 soruları
ReadyAgents MCP'yi Claude Code'a nasıl eklerim?
Terminalinizde claude mcp add readyagents-core -- uvx readyagentsdev komutunu çalıştırın. Her projede kullanılabilir olması için --scope user ekleyin.
ReadyAgents MCP'yi Cursor'a nasıl eklerim?
~/.cursor/mcp.json dosyasını açın ve yukarıdaki yükleme bölümünde gösterilen Cursor yapılandırmasını kullanarak sunucuyu mcpServers altına ekleyin.
ReadyAgents nasıl kurulur?
pip install readyagentsdev komutuyla pip kullanarak veya depoyu klonlayarak kurabilirsiniz.
Duraklatılan veya başarısız olan bir iş akışına devam edebilir miyim?
Evet, motor her düğümden (node) sonra durumu kaydeder; bu sayede duraklatılan veya başarısız olan bir çalışmayı en son başarılı düğümden itibaren devam ettirebilirsiniz.
ReadyAgents için çalışan bir daemon gerekir mi?
Hayır, bir daemon gerektirmeden doğrudan kendi makinenizde yerel olarak çalışır.