Craft Agents vs Loop me in

Craft Agents and Loop me in are both ai agent apps 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.

Craft Agents

Built by the craft.do team for their own internal agent work, Craft Agents connects to external services like Slack or Linear, imports skills from Claude Code, and runs local MCP servers as subprocesses — all without requiring CLI fluency from the people reviewing agent output. The document-based interface lets you run multiple agents in parallel and share sessions, which removes the 'only the dev knows what happened' problem. Where it strains: the GitHub issues tracker shows 311 open issues and 146 open pull requests, signaling a project moving fast with rough edges still exposed. Teams expecting enterprise-grade stability at scale will feel those gaps quickly.

Loop me in

The workflow is mechanical by design: an expert publishes a named loop with a fixed rate, the required context, and the specific judgment they return. When an agent hits that loop, it assembles context automatically and holds until the expert answers — from wherever they are. The model works cleanly for agents with clear pause points: brand reviews mid-code-generation, onboarding drop-off calls during product iteration, incident root-cause reads from logs. Where it strains is any run that needs real-time back-and-forth rather than a single bounded exchange, or any team whose agent framework does not support MCP hosts. The expert-as-contractor model is early — the vendor states V1.0.0, so directory depth and answer latency are open questions.

Attribute	Craft Agents	Loop me in
Pricing	Free	Paid
Free trial	No	No
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	Desktop	Claude Code, Codex, OpenCode, any MCP host
Released	—	2026
Pros	Document-centric session sharing, so the agent's context and output are readable by non-technical stakeholders without anyone translating terminal state into prose. MCP server subprocess management built in, which means you skip the manual local-server-startup ritual that breaks agent demos the moment someone else tries to run the same workflow. API integration via pasted specs or URLs, so connecting an agent to a custom internal service doesn't require writing a connector from scratch or waiting on a native integration. Claude Code skill import, which means agent capabilities your team already defined elsewhere carry over without being rebuilt inside a new system. Parallel agent multitasking in a single workspace, so a team running several concurrent agent tasks isn't forced to context-switch between separate sessions or terminals.	Agents read the expert's published contract before opening a loop, so context arrives assembled and answerable — which means you avoid the failure mode where async human review gets abandoned because the question arrives without enough information to act on. Fixed rate per loop settled on close, so both the agent operator and the expert know the cost before the exchange opens — which means no billing surprises on runs that hit multiple judgment calls. One install command adds the MCP layer to Claude Code, Codex, or OpenCode, so teams already running those agents do not need to rearchitect to get expert judgment mid-run. Agents hold execution until the expert answers and then carry the answer into the run, so the expert's judgment lands in the output rather than sitting in a side channel that someone has to manually reconcile.
Cons	The public repository carries 311 open issues and 146 open pull requests — at the scale of a production deployment handling critical workflows, that backlog means bugs you hit may sit unresolved while your team decides whether to patch upstream or work around them. No API surface is exposed by the tool itself, so teams that want to trigger agents or read results from an external orchestration system have no stable interface to call — they are working against source code, not a contract, which breaks when the internals change. A team that needs commercial support, audit logging, or guaranteed uptime SLAs will find none of those here; when production pressure mounts, the next step is a hosted agent platform with managed infrastructure and a support tier — at which point the migration cost is the sunk cost of everything built on Craft Agents.	The loop model is a single bounded exchange — opened, answered, closed. Runs that need iterative back-and-forth with a human hit this ceiling immediately. Teams with dialogue-heavy workflows add a separate async messaging layer, at which point they are coordinating two systems. The expert directory is at V1.0.0 by the vendor's own versioning. If the specialist a team needs has not published a loop yet, there is no fallback inside the tool — teams either wait or find the expert outside the platform entirely, which defeats the integration. No self-hosted option and no API mean the loop routing and payment settlement run entirely through Loop Me In's infrastructure. Teams with data-handling constraints — logs containing PII, unreleased pricing data — have no way to keep context off third-party servers, and that single constraint is enough to rule the tool out for regulated environments.

Bottom line

Craft Agents is free while Loop me in is paid; Craft Agents is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Craft Agents and Loop me in?

Craft Agents is Free and open source, while Loop me in is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Craft Agents better than Loop me in?

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.