Last Updated: April 24, 2026
Three platforms now compete to manage your AI coding agents. Anthropic launched Claude Managed Agents on April 8, 2026. Multica hit GitHub the same week as an open-source alternative. And Paperclip has been building the solo-agent company simulator since late 2025. They all assign tasks to AI agents, but they solve fundamentally different problems. Here is the full comparison based on real implementation experience.
What Are AI Agent Management Platforms?
AI agent management platforms solve a problem that did not exist 18 months ago: how do you coordinate multiple AI coding agents working on the same project? Teams using Claude Code, Codex, OpenClaw, and other coding agents quickly discover that individual agent sessions are powerful but unmanaged. There is no task board, no progress tracking, no skill reuse, and no way for agents to report blockers like a human teammate would.
Agent management platforms add that missing layer. They give agents profiles, assign them tasks from a kanban board, track execution in real time, and compound what agents learn into reusable skills. The category is new but growing fast as teams move from experimenting with one agent to running multiple agents on real projects.
Multica: Open-Source Team Collaboration for AI Agents
Multica is an open-source platform (Apache 2.0 license) that turns coding agents into real teammates. You install it, connect your existing agent CLIs, and each agent gets a profile, shows up on your kanban board, and can be assigned work like a human colleague.
Key features:
- Supports 8 agent runtimes: Claude Code, Codex, OpenClaw, OpenCode, Hermes, Gemini, Pi, and Cursor Agent
- Kanban board with agent profiles, task assignment, and real-time progress streaming
- Skills system: every solution becomes a reusable skill for the whole team
- Multi-workspace support with team-level isolation
- Self-hosted or cloud-hosted at multica.ai
- Auto-detects agent CLIs on your machine
Where it shines: Multica is vendor-neutral. It does not lock you into one agent provider. If your team uses Claude Code for complex reasoning and OpenClaw for autonomous tasks, both show up on the same board. The skills compounding feature means your agents get better over time, building up institutional knowledge that any agent on the team can reuse.
Where it is limited: Multica is a newer project (April 2026). The documentation is solid but the ecosystem of integrations is still growing. Enterprise features like SSO, audit logs, and compliance reporting are on the roadmap but not yet shipped.
Paperclip: The Solo AI Agent Company Simulator
Paperclip takes a different approach entirely. Rather than managing agents as team members, it simulates an entire AI-powered company. You set up an organizational chart with AI agents filling roles (CEO, CTO, developers, marketers), and they operate autonomously within a governance framework.
Key features:
- Company simulation with org chart, roles, and reporting structures
- Approval workflows and budget management
- Heartbeat-based agent coordination
- Local-first deployment
- Skills and plugin system
- Deep OpenClaw integration
Where it shines: Paperclip is the most ambitious governance model. If you want to simulate an entire autonomous company with approval chains, budget controls, and role-based permissions, nothing else comes close. The local-first architecture means everything runs on your machine, which is ideal for data-sensitive workloads.
Where it is limited: Paperclip is designed for a single operator managing a company of agents, not for human teams collaborating with agents. It is OpenClaw-first, which means limited support for other agent runtimes. The heavy governance model adds complexity that solo developers or small teams may not need.
Claude Managed Agents: Anthropic's Native Agent Orchestration
Claude Managed Agents is Anthropic's official solution for running Claude as a managed agent. Launched April 8, 2026, it provides stateful sessions where Claude can execute tasks, use tools, and maintain context across multiple interactions.
Key features:
- Stateful sessions with checkpointing and error recovery
- Native tool calling (web search, code execution, file operations)
- Session runtime billing at $0.08/hour plus standard token costs
- Prompt caching (90% discount on repeated context)
- Built on Claude's models (Opus 4.7, Sonnet 4.6, Haiku 4.5)
- Sandboxed execution environment included
Where it shines: Claude Managed Agents is the most polished single-agent experience. If your team already uses Claude and wants to move from one-shot conversations to persistent, managed sessions, this is the path of least resistance. The Anthropic ecosystem (Claude Code, Claude for Work) integrates seamlessly. Notion, Asana, and Rakuten are already using it in production.
Where it is limited: It only works with Claude. No OpenClaw, no Codex, no other runtimes. Pricing is usage-based (token costs + session runtime), which can get expensive at scale. Opus 4.7 at $5/$25 per million tokens plus $0.08/hour session runtime means heavy workloads cost significantly more than open-source alternatives. Self-hosting is not available.
Feature-by-Feature Comparison
Agent runtime support:
Multica leads here with support for 8 different agent runtimes (Claude Code, Codex, OpenClaw, OpenCode, Hermes, Gemini, Pi, Cursor Agent). Paperclip is OpenClaw-first with limited other support. Claude Managed Agents only works with Claude models.
Task management approach:
Multica uses a standard kanban board with agent profiles, similar to how you would manage human teammates on Linear or Jira. Paperclip uses an organizational hierarchy with approval chains. Claude Managed Agents uses session-based task execution without a visual board.
Team model:
Multica is built for multi-user teams with workspace isolation and role-based access. Paperclip is designed for a single operator running an AI company. Claude Managed Agents targets teams already in the Anthropic ecosystem.
Skills and learning:
Multica compounds every agent solution into reusable skills that any agent on the team can access. Paperclip has a skills and plugin system tied to its governance model. Claude Managed Agents relies on prompt caching for context reuse rather than a formal skills system.
Self-hosting:
Multica and Paperclip both offer full self-hosting with Docker. Multica uses PostgreSQL 17 with pgvector. Claude Managed Agents is cloud-only through Anthropic's API.
Pricing:
| Platform | Model | Cost |
|---|---|---|
| Multica | Open source (self-hosted) | Free (infrastructure costs only) |
| Multica Cloud | Hosted SaaS | Free tier available |
| Paperclip | Open source (local-first) | Free (infrastructure costs only) |
| Claude Managed Agents | API usage-based | $5/$25 per MTok (Opus) + $0.08/hr session |
For a team running 50 hours of agent sessions per month on Opus 4.7, Claude Managed Agents costs roughly $4 in session fees plus whatever token consumption adds (typically $200-2,000 depending on workload). Multica self-hosted costs whatever your infrastructure runs (typically $20-50/month for a small VPS).
Which One Should You Choose?
Choose Multica if you have a team of humans and AI agents working together, you use multiple agent runtimes (not just Claude), and you want vendor-neutral, self-hostable infrastructure. This is the best choice for teams that want a kanban-style workflow where agents show up as real teammates.
Choose Paperclip if you want to simulate an autonomous AI company with governance, approvals, and role-based agents. This is the best choice for solo operators or small teams building self-running AI businesses, particularly those already using OpenClaw.
Choose Claude Managed Agents if your team is fully committed to the Claude ecosystem, you want the most polished single-agent experience, and you do not mind paying usage-based pricing. This is the best choice for teams that want managed sessions without infrastructure overhead.
What We Use and Why
At Flowtivity, we use Multica with OpenClaw for managing AI agent workflows for Australian businesses. The multi-runtime support matters because different tasks suit different agents. Complex reasoning goes to Claude, autonomous multi-step tasks go to OpenClaw, and it all shows up on one board.
The self-hosting option is critical for our clients in regulated industries (healthcare, legal, construction) who need data sovereignty. Being able to run the entire stack on Australian infrastructure, with full control over where agent data and task histories live, is a requirement that cloud-only solutions cannot meet.
We are actively implementing Multica with clients and will share case studies as those projects mature.
Getting Started with Multica
If you want to try Multica, the fastest path is:
- Install the CLI:
brew install multica-ai/tap/multica - Run
multica setupto configure, authenticate, and start the daemon - The daemon auto-detects agent CLIs on your machine (OpenClaw, Claude Code, etc.)
- Open the web app, go to Settings and then Runtimes to verify your machine is connected
- Create an agent, assign it a task, and watch it show up on the board like a teammate
For self-hosting: curl -fsSL https://raw.githubusercontent.com/multica-ai/multica/main/scripts/install.sh | bash -s -- --with-server then multica setup self-host. Requires Docker.
Frequently Asked Questions
Is Multica better than Claude Managed Agents?
Multica is better for teams that use multiple agent runtimes (not just Claude) and want self-hosting with data sovereignty. Claude Managed Agents is better for teams fully committed to the Claude ecosystem who want the most polished single-agent experience. They serve different use cases.
Can Multica work with OpenClaw?
Yes, Multica natively supports OpenClaw as a first-class runtime. The daemon auto-detects OpenClaw on your machine, and you can assign OpenClaw-based agents to tasks on the kanban board alongside Claude Code, Codex, and other runtimes.
Is Multica free to use?
Multica is open-source under the Apache 2.0 license. Self-hosting is free (you pay only for your own infrastructure). Multica Cloud offers a free tier for teams that prefer a hosted solution.
What is the difference between Multica and Paperclip?
Multica is a team collaboration platform where humans and AI agents work together on a kanban board. Paperclip is an autonomous company simulator with governance, org charts, and approval chains. Multica supports 8 agent runtimes; Paperclip is OpenClaw-first. Multica is multi-user; Paperclip is designed for a single operator.
Can I self-host Multica?
Yes, Multica offers full self-hosting with Docker. The backend uses Go (Chi router + WebSocket), the frontend is Next.js 16, and the database is PostgreSQL 17 with pgvector. Run multica setup self-host after installation to deploy a complete instance on your own infrastructure.
