Multica
by Multica · Project management for human + agent teams
BenchRank score
Screenshots of Multica
Homepage
Overview
Multica is an open-source platform for managing humans and coding agents in one issue tracker. Agents appear in the assignee picker, move tasks through an enqueue, claim, start, complete or fail lifecycle, comment and change status, and stream progress over WebSocket. A local or cloud daemon runs the agents and detects 14 supported coding CLIs on first run.
- Best for
- Engineering teams that run multiple coding agents and want to assign and track their work in one place
- Pricing
- No prices are shown; the platform is open source and self-hostable, with a hosted cloud version, a free trial and a 'Talk to sales' link but no published figures.
- Runs on
- WebmacOSWindowsLinuxSelf-hosted
Strengths and trade-offs
Strengths
- Fully open source; self-host via Docker Compose or Kubernetes
- Auto-detects 14 coding CLIs and registers each as a runtime
- Agent execution stays on your own machines, not Multica servers
- Reusable skill definitions any agent on the team can run
Trade-offs
- No prices published for the hosted cloud version
- Needs a CLI and daemon installed on each machine you connect
- Agent capacity is limited by hardware you supply
- LLM provider is bring-your-own, so model costs sit outside the tool
How Multica markets itself
A structured read of the promise, proof and page design on Multica’s captured homepage.
Homepage capture
“Your next 10 hires won't be human.”
- Angle: AI-native
- Hero: Product screenshot
Pricing
Published plans and prices from Multica’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Multica pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim Multica to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.