PhyAgentOS/PhyAgentOS-core
Some data may be outdated — see provenance labels.
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows. observed · 2026-09-25
Health v2 · maintenance only
68/100
- Activity 96
- Release rhythm 61
- Longevity 15
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 222
- days_rel: 45
- days_push: 26
- n_releases_24m: 1
Adoption not part of the score
2511 stars · 121 forks observed · 2026-09-25
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
PhyAgentOS is a self-evolving embodied AI operating system built on agentic workflows, providing a session-centered runtime that decouples cognitive reasoning from physical execution. It supports simulation and real-robot paths, agent verification with failure recovery, and benchmarking of policy loops.
Use cases
- build embodied AI agents that control robots
- run agentic workflows for physical task execution
- benchmark embodied agent policy loops
- verify agent sessions and recover from failures
- evaluate agents on Behavior 1K benchmark
- decouple cognitive planning from physical control in robotics
When to choose
- you need a runtime for embodied/robotic AI agents with cognitive-physical separation
- you want built-in agent verification and failure recovery
- you need benchmarking support for embodied agent policies
When to avoid
- you only need a chatbot or text-only LLM agent framework
- you need a production-stable, mature platform
- you are not working in Python 3.11+
Facets
framework · maturity experimental
agent-framework machine-learning simulation benchmarking sdk artificial-intelligence robotics reinforcement-learning simulation python cross-platform embodied-ai embodied-agent agentic-workflows cognitive-physical-decoupling self-evolving agent-harness session-runtime ai-agents linux
2 sources
- readme: https://github.com/PhyAgentOS/PhyAgentOS-core · fetched 2026-09-25 · 64dd98139f41
- homepage: https://phy-agent-os.net/ · fetched 2026-08-29 · 178f49836c82
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| PhyAgentOS/PhyAgentOS-core | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="PhyAgentOS/PhyAgentOS-core")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem