google/ax
An open source distributed agent runtime observed · 2026-08-28
Health v2 · maintenance only
80/100
- Activity 98
- Release rhythm 97
- Longevity 11
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 11.0
- age_days: 156
- days_rel: 20
- days_push: 13
- n_releases_24m: 5
Adoption not part of the score
1970 stars · 116 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AX (Agent Executor) is a distributed agent runtime from Google that provisions isolated, suspendable/resumable environments to execute AI agents and harnesses. It provides durable event logging, automatic failure recovery, and execution resumption, with first-class Kubernetes support and native MCP/A2A protocol interoperability.
Use cases
- run long-running autonomous AI agents reliably in distributed deployments
- resume agent executions after failures or interruptions
- deploy agents as isolated actors on Kubernetes
- audit and observe agent trajectories and execution state
- orchestrate multi-agent systems with MCP and A2A protocols
- bring custom LLM harnesses, tools, and skills to a managed runtime
When to choose
- you need durable, resumable execution for long-running autonomous agents
- you deploy agents across distributed or Kubernetes-based infrastructure
- you want isolated, multi-tenant agent execution with full audit trails
- you need MCP/A2A interoperability with a model- and harness-agnostic runtime
When to avoid
- you need a stable, production-hardened system - AX is in early development with expected breaking changes
- you want a simple single-process agent framework without distributed runtime overhead
- you need broad community contributions right now - external PRs are temporarily paused
- your use case is basic chatbot or prompt orchestration rather than autonomous execution
Facets
framework · maturity experimental
agent-framework mcp workflow-automation container-orchestration monitoring large-language-models microservices infrastructure-as-code go cloud self-hosted cli windows agent-runtime distributed-agents resumable-execution a2a event-log single-writer harness google ai-agents devops kubernetes docker linux macos
2 sources
- readme: https://github.com/google/ax · fetched 2026-08-28 · e1a38e6d3955
- homepage: https://agentexecutor.io · fetched 2026-08-29 · e35d6a8c4035
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google/ax | main | 80 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem