AI tool comparison
Craft Agents vs Multica
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Craft Agents
Open-source desktop app for multi-session Claude agents with MCP & APIs
75%
Panel ship
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Community
Free
Entry
Craft Agents OSS is an open-source desktop application built on Anthropic's Claude Agent SDK, offering a polished GUI for managing multiple AI agent sessions simultaneously. Built by Luki Labs and released under Apache 2.0, it fills the gap between raw API access and the full Claude.ai web interface — giving developers and power users a native desktop experience with serious capability depth. The app supports three permission modes that make it genuinely useful for real work: Explore (read-only, safe for exploring codebases), Ask to Edit (approval-based, for supervised automation), and Auto (unrestricted, for trusted workflows). It connects to MCP servers, REST APIs from Google, Slack, and Microsoft, and local filesystems, with real-time streaming responses and full tool call visualization. A multi-session workflow with Todo → In Progress → Needs Review → Done status tracking makes it feel more like a project management system than a chat interface. Built on Electron + React with encrypted credential storage and a headless server mode, Craft Agents is architecturally serious. It's available as a one-line installer for macOS, Linux, and Windows. With the Claude Agent SDK gaining traction, this is the first polished desktop client that treats agents as long-running workflows rather than single-turn conversations.
Developer Tools
Multica
Open-source platform that turns coding agents into real teammates
75%
Panel ship
—
Community
Free
Entry
Multica is an open-source managed agents platform that integrates AI coding agents — Claude Code, Codex, OpenClaw, OpenCode — directly into your team's project workflow. Instead of running agents from the command line and mentally tracking what each is doing, Multica gives them names, profiles, and slots in your assignee dropdowns alongside human teammates. The platform consists of a Next.js frontend, Go backend with PostgreSQL, and a local daemon that detects and orchestrates available agent CLIs on your machine. Assign a task, and the agent autonomously executes it — writing code, reporting blockers, streaming real-time progress back to your shared dashboard. Solutions are codified into reusable skills that compound team capabilities over time: define "deploy to staging" once and every agent on the team can invoke it. Multica is self-hostable with full infrastructure flexibility, or you can use the hosted cloud option at multica.ai. The open-source licensing and no-vendor-lock-in stance make it a viable foundation for teams nervous about depending on a proprietary agent coordination layer.
Reviewer scorecard
“The three permission modes — Explore, Ask to Edit, Auto — is the right model for how I actually use agents. I want read-only exploration when I'm learning a codebase and auto mode when I'm in flow. That plus MCP server support makes this my new default agent UI.”
“Multica solves the real problem: once you have more than two AI agents running, you need coordination tooling or things fall apart. The assignee dropdown, skill compounding, and self-hosting option make this the first agent management layer I'd actually use in production.”
“Electron desktop apps for AI agents have a graveyard of predecessors — most people end up in the terminal or the browser anyway. The Claude-only model dependency is also a real limitation; when Anthropic changes their SDK or pricing, the whole platform needs to adapt.”
“The Go backend + Next.js frontend + local daemon trio means three things to maintain. For solo devs or small teams the overhead might outweigh the benefit — most teams won't have enough concurrent agent workstreams to justify the coordination layer yet.”
“Agent session management as a first-class concept is where the whole category is heading. Craft Agents is early proof that the IDE model — multi-session, persistent, project-aware — is the right UX paradigm for AI agents, not the chat-box model we inherited from GPT-3 days.”
“The metaphor shift Multica encodes — agents appear in assignee dropdowns like colleagues — is a UX inflection point. When human-AI project boards become standard, the platforms that got there early with open-source solutions will define the norms others follow.”
“File attachments with automatic format conversion plus the Slack/Google API integrations mean I can finally have agents that work across my whole toolkit, not just the terminal. The one-line installer is the detail that will make this actually get adopted.”
“As a solo creator running multiple content workflows, having agents show up as named teammates in a shared board changes the mental model entirely. Multica's reusable skills mean I define 'write episode script' once and every future project inherits that capability automatically.”
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