Not a task — informational heads-up for the maintainers, nothing to implement. Close it freely.
Hi — I curate StackMap, a hand-curated knowledge graph of open-source AI/agent tools. Every entry is human-reviewed: a summary, an opinionated note on when to use it (and when not), and typed edges to what it pairs with or competes against — with the why written down.
scale-agentex earned a place on the map:
How we mapped it:
- alternative to
agentfield — Both are open control planes for building and deploying agents as long-running services with routing, queues and durable state. AgentField wraps plain Python/Go/TS functions as microservice agents; Agentex standardizes on the ACP protocol with Temporal underneath and a scaffolding CLI + dev UI.
- alternative to
crewai — Overlapping 'build agents in Python' entry point, opposite emphasis: CrewAI is the in-process multi-agent collaboration framework; Agentex is the deployment platform — protocolized agents, dev sandbox, and durable async execution on Temporal.
If you want it visible in your README, every mapped repo has a badge:
[](https://stackmap.shipwithai.xyz/repos/scaleapi/scale-agentex?utm_source=badge)
It renders as StackMap | ↔ 3 typed links and links to the page above. Static JSON — the count updates itself as the map changes, nothing for you to maintain.
If any of this misrepresents the project — an edge you'd dispute, a sharper "when NOT to use" — reply here and a human fixes it. And feel free to just close this issue; it's only a heads-up.
Hi — I curate StackMap, a hand-curated knowledge graph of open-source AI/agent tools. Every entry is human-reviewed: a summary, an opinionated note on when to use it (and when not), and typed edges to what it pairs with or competes against — with the why written down.
scale-agentex earned a place on the map:
How we mapped it:
agentfield— Both are open control planes for building and deploying agents as long-running services with routing, queues and durable state. AgentField wraps plain Python/Go/TS functions as microservice agents; Agentex standardizes on the ACP protocol with Temporal underneath and a scaffolding CLI + dev UI.crewai— Overlapping 'build agents in Python' entry point, opposite emphasis: CrewAI is the in-process multi-agent collaboration framework; Agentex is the deployment platform — protocolized agents, dev sandbox, and durable async execution on Temporal.If you want it visible in your README, every mapped repo has a badge:
It renders as
StackMap | ↔ 3 typed linksand links to the page above. Static JSON — the count updates itself as the map changes, nothing for you to maintain.If any of this misrepresents the project — an edge you'd dispute, a sharper "when NOT to use" — reply here and a human fixes it. And feel free to just close this issue; it's only a heads-up.