Agentes de IA
agent-qa
A self-improving QA agent that writes tests in plain English.
★ 902 estrellasNOASSERTION
Ver la guía →PhyAgentOS-core es un proyecto de agentes de IA de código abierto de PhyAgentOS (PhyAgentOS/PhyAgentOS-core en GitHub). Tiene 2.776 estrellas en GitHub y 128 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 8 de octubre de 2026.
Recursive self-improving physical agent OS — verified, evidence-based execution for robots and simulators
Define an embodied task with a visible goal and success criteria — PAOS verification modes (audit, enforce, recovery) are built around explicit criteria.
Clone the repo and install it in editable mode; install Dora CLI v0.4.1 only if you will run managed Forge Skill profiles.
Run paos onboard, then edit ~/.PhyAgentOS/config.json with your model provider (e.g. OpenRouter) and Forge/verification settings, and install the Forge Skills you need.
Start an installed Skill Runtime, then paos agent -m "..." with a task, and check the verdict and evidence afterwards.
Robot actions enter only through the versioned Forge Gateway Tool API (Query/Action/Session) — the agent never reaches directly into a simulator or hardware SDK.
Validated images and optional robot state are captured around actions with source, sequence, time and SHA-256 digest metadata.
The verifier judges goal, criteria, constraints, execution facts and evidence — with off, audit, enforce and recovery modes.
A recovery verdict appends a bounded PlanRevision to the same task; unknown effects are reconciled, never blindly retried.
SQLite WAL transactions persist AgentTask, PlanRevision, Query records and Gateway invocation references.
Verified tasks produce reusable workflow Skills and clustered Lessons, loaded only with the matching Skill, with guarded promotion.
Clone PhyAgentOS-core and install it editable, exactly as the 5-minute quick start shows.
git clone https://github.com/PhyAgentOS/PhyAgentOS-core.git
cd PhyAgentOS-coreOnboard to create ~/.PhyAgentOS/config.json and the default workspace, then add your provider API key to the config.
paos onboardRun the interactive CLI (or paos gateway for channels/Cron/Heartbeat) and give it a verifiable task.
paos agent
# one-shot: paos agent -m "Inspect Forge capabilities, then place the object in the target area and verify the visible result."The PhyAgentOS project team maintains it; the project's site is phy-agent-os.x-era.com.
Yes, it is MIT-licensed. You supply your own model provider and any robot/simulator hardware or software.
The config example uses a provider such as OpenRouter with your API key, so model costs depend on your provider and model choice.
General frameworks plan and call tools. PAOS adds a single governed execution gateway for physical actions, captured evidence, a separate verifier, and experience that only comes from verified tasks.
pip install -e . from a clone, run paos onboard, configure a provider in config.json, install a Forge Skill, and run paos agent.
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