Comparison
AI4Kanban vs.
Multica
Compare AI4Kanban and Multica on specialist agents, workflow setup, draft review, preference memory and team collaboration.
Start working without designing the team first
Use built-in workflows for development and marketing instead of arranging every handoff yourself.
Built-in specialist agents and workflows cover product development and marketing content. Start with the workflow for your task instead of designing the team yourself. You can also create custom agents and workflows.



Apart from the coordinator Mika, you create and configure every specialist agent yourself
New agent
Name
Instructions
Skills
Both have
Custom agents
- AI4Kanban lets you edit the built-in roles or add your own agents.
- Multica’s Agent Builder helps you create roles, then configure their Instructions and Skills.
Agents in parallel
- AI4Kanban runs several cards at once with coding tools such as Claude Code or Codex.
- Multica runs agents in parallel, with queues, retries and cost tracking.
Review key drafts before agents continue
Change the key parts in the draft to reduce rework after implementation.
Parts that need your judgment get a draft first. Review and edit it on the card; agents build from the approved version and handle the remaining details within the agreed scope. Catch changes here to reduce rework later.


You build the draft-review process yourself
Draft approval
Who drafts
When to wait
How to hand off
Both have
Previews
- AI4Kanban displays image, diagram, HTML/TSX, diff and storyboard drafts on the card.
- Multica previews HTML, collects annotations and compares versions.
Task discussion
- AI4Kanban discusses and revises the plan in the card chat.
- Multica discusses work with agents in issue comments.
Will you need to explain it again?
Later tasks start with the project context, preferences and decisions you have already established.
Each agent remembers preferences and decisions relevant to its work and can share project context with other agents. Later tasks build on what you have already agreed, so you spend less time explaining the same background.


Long-term memory depends on the agent tool, for you to check and set up
Long-term memory
Which tool
Where it’s kept
When it’s read
Both have
Saved methods
- AI4Kanban gives every agent role rules you can edit.
- Multica keeps methods in Instructions and Skills.
Task history
- AI4Kanban keeps the plan, chat and run log on each card.
- Multica keeps comments and run history.
Compare the details
A marks the stronger side on each row.
Built-in specialist agents and workflows, with roles you can edit or add.All built-in and custom workflows are free.
Mika is included. Create specialist agents yourself or with Agent Builder, then give them Instructions and Skills.
For any part where you want control over the direction, the draft system can prepare a preview for your approval before execution and delivery. AI4Kanban supports image, diagram, HTML/TSX, diff and storyboard drafts.
Preview HTML, annotate output and compare versions. You define which agent prepares each draft and when approval is needed before execution.
Each agent has a memory recipe designed for its own job: it learns your preferences and decisions for that kind of task, not generic lessons. Agents can also share memory with each other.
Long-term memory depends on the agent tool. Agents using Hermes each retain memory across tasks on the local runtime; it does not automatically sync across machines. Instructions and task history are also saved.
After you finish a main piece of work, agents proactively suggest follow-ups to help fill gaps and catch omissions.
To get follow-up suggestions, request them in the task instructions. Autopilot runs automatically after you configure its runbook, assignee and schedule or webhook triggers.
Apache-2.0, including commercial use, hosting, and embedding.
Source-available; hosted services and commercial embedding are restricted by the Multica License.
Run cards with Claude Code, Codex, Cursor, OpenCode, DeepSeek Harness, ZCode or Grok Build, with several cards in progress at once.
Runs multiple agents in parallel, with queues, retries, replay, cost tracking, review gates, and PR and CI links.
For individuals and small teams organizing tasks in one repository, with customizable agents and workflows.
Multi-user workspaces, roles, Squads, comments, permissions, and notifications.
Which should you choose?
Choose AI4Kanban if you
- Want ready-to-use specialist agents and workflows for your own product and marketing.
- Want to approve drafts where your judgment matters before agents continue.
- Want later tasks to reuse project context and your preferences and decisions.
- Want independent tasks to run in parallel and follow-up suggestions after delivery.
Choose Multica if you
- Need multi-user workspaces, permissions and notifications for a whole team working on shared issues.
- Need execution management such as queues, retries, replay, cost tracking, and PR and CI links.
- Want to configure Autopilot’s runbook, assignee and triggers to start recurring work on a schedule or from external events.
Choose AI4Kanban to move your product and marketing forward with ready-to-use workflows, reviewing key drafts first and carrying preferences into later tasks. Choose Multica only if you specifically need its multi-user workspace or execution management.