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 2.0.3. 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, and foreach nodes. Agent nodes may declare a tools: allowlist for a bounded tool-use loop.
• 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)
• 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

Examples (no keys unless noted)

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
• 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; lazy wake)
• 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; loopback serve 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 2.0.3

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.