AgentReady vs role-model

AgentReady and role-model are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AgentReady

The tool indexes public websites — including JS-rendered pages — and exposes the content through a single MCP server your agent connects to once, then queries across 114+ pre-indexed sites or any site you add on the fly. Four MCP tools cover the full workflow: ask a site a question, list what's indexed, submit a new URL, or force a re-crawl. Setup is a one-line MCP config and no API key. The wall you hit is scope: only public sites can be indexed, private documentation behind authentication is out of reach, and the 'Actionable' layer — agents triggering real site actions — is listed as coming later, not live.

role-model

role-model is an open protocol and reference router runtime that routes LLM requests across endpoints using declared capability profiles, routing policy, and measured performance — then emits a structured decision artifact you can inspect after the fact. The router narrows candidates by role and task metadata, rejects endpoints that fail capability, locality, or budget checks, and scores what's left against latency, cost, and reliability evidence. The decision is deterministic enough to audit, not a hidden runtime guess. The baseline role set covers chat, code editing, code review, tool calling, and embeddings — so it fits mixed-workload deployments out of the box. Teams needing autonomous multi-step planning or tool loops will find this deliberately out of scope.

Attribute	AgentReady	role-model
Pricing	Paid	Free
Free trial	No	No
Open source	Yes	Yes
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	Web, CLI, MCP clients	Local runtime with operator UI
Pros	JS-rendered pages are indexed correctly, so agents get actual content from documentation sites that `web_fetch` returns blank on — no custom rendering pipeline required on your end. 114+ sites are pre-indexed and accessible through one MCP connection, which means your agent queries Stripe or Next.js docs with cited answers without you building or maintaining any crawl infrastructure. New sites are added in roughly 60 seconds via `submit_site` or the CLI, so when a dependency's docs aren't in the index yet you're not blocked waiting on a support queue. No API key or account is required to run a query or grade a site, so evaluation takes minutes rather than a procurement cycle — which matters when you're vetting this mid-sprint. Generates a spec-compliant `llms.txt` automatically from a URL paste, so site owners who want their content discoverable by agents don't need to understand the spec or involve a developer.	Explainable RouterDecision artifacts — including the chosen endpoint, fallbacks, exclusions, and named selection reasons — so when a routing call looks wrong, you have evidence to debug rather than a guess to reverse-engineer. Hard eligibility checks across capability, locality, budget, and binding requirements before scoring begins, which means a request that must not leave your network cannot accidentally route to a remote endpoint under load. Scoring uses measured performance evidence first and declared data second, so a local model that has been benchmarked beats a remote model that merely claims low latency — without you having to manually tune weights. Canonical schema definitions for every artifact in the protocol, so swapping a provider or redeploying to a different host doesn't silently change routing behavior or break downstream log parsing. OpenAI-compatible discovery interface for downstream clients, which means existing tooling that already speaks the OpenAI API format can connect without a custom adapter layer.
Cons	Only public websites can be indexed — any documentation behind authentication, a VPN, or a private network is out of scope entirely. Teams whose critical docs live in a private Confluence instance or behind SSO have no path forward here and route to a self-hosted RAG stack instead. The 'Actionable' layer — agents triggering real site actions like search or transactions — is listed as a future capability, not a shipped feature. Teams building agents that need to do something on a site rather than just read it are building that integration themselves or evaluating tools that already ship it. Higher limits, private indexing, and custom deployments are listed as contact-us territory with no published self-serve path. Teams that hit index limits or need dedicated infrastructure mid-project face a sales conversation at the point when they least have time for one. There is no self-hosted option. Teams in environments where data cannot leave their infrastructure — regulated industries, enterprise security requirements — cannot use this service regardless of use case fit.	role-model has no agent loop — it routes a request to an endpoint, it does not decide what the next request should be. Teams building systems where the model output determines the next action will need a separate orchestration layer, and the boundary between the two systems requires explicit wiring and maintenance. The baseline role taxonomy covers the documented set of general chat, code editing, code review, tool calling, and embeddings — workloads that fall outside those role IDs require teams to define custom role and capability profiles against the protocol spec, which adds schema work before the router is useful. There is no managed cloud runtime. The packaged reference runtime runs self-hosted, which means infrastructure ownership, upgrade management, and observability pipeline setup land on the team deploying it. Teams that hit operational overhead they didn't budget for tend to move toward a hosted LLM gateway product with a UI instead.

Bottom line

AgentReady is paid while role-model is free. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AgentReady and role-model?

AgentReady is Paid and open source, while role-model is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AgentReady better than role-model?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.