AgentMesh.help
Freemium
Developers integrating AI agents into task workflows
Terminal-locked agent tools work fine until you need to hand off context to someone who doesn't live in a shell — then you're screen-sharing CLI output to a product manager and calling it a workflow. Craft Agents is an open-source, document-centric UI that gives agents a surface non-engineers can actually read and act on.
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.
Bottom line: Pick this for an internal team that needs agents connected to APIs and services without a terminal in the critical path — and plan a different architecture if you need a hardened, production-monitored deployment with commercial support behind it.
Find your fit
More options in AI Agent Apps. Compare pricing, platforms, and features side by side.
Freemium
Developers integrating AI agents into task workflows
Paid
Teams replacing Datadog, PagerDuty, and Wiz with a single agent
Craft Agents is an open-source agent interface that moves agent interaction off the command line and into a document-centric workspace. You connect agents to external APIs by pasting a spec or a URL, import skills from Claude Code, and run local MCP servers as subprocesses — the tool handles the plumbing so the agent has the services it needs without manual shell management. Sessions are shareable, so the person running the agent and the person reviewing its output don’t have to be the same person sitting at the same terminal.
The differentiating feature here is the multitasking model. Most agent UIs serialize your work: one task, one thread, wait for it to finish. Craft Agents is built around running agents in parallel inside a document interface, so you can have one agent drafting while another is querying an API, and both outputs land somewhere a human can read without decoding terminal state.
Where it fits: teams where engineers build agent workflows but non-engineers need to consume or direct them. Where it breaks: the public issue tracker carries significant open volume — 311 issues and 146 open pull requests as visible on the repository — which means you are adopting a project with active development debt. Teams that need audit trails, SLA-backed uptime, or a commercial support escalation path will hit walls the open-source community hasn’t patched yet. At that point, the comparison shifts to hosted agent platforms with managed infrastructure.
No API is exposed by the tool itself, so anything you want to drive programmatically from an external system requires working at the source level rather than through a stable interface. Self-hosting via Docker is supported, giving teams that need data locality a path — but that also means you own the ops burden.
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