Microsoft's Open-Source-Multi-Agent-Framework — orchestriert Konversationen zwischen spezialisierten KI-Agenten.
Multi-AgentTool-NutzungCodeausführungMemory
CrewAI vs Sycamorewhich AI ops agent should you pick in 2026?
Open-source framework for orchestrating role-playing autonomous AI agents in collaborative crews.
Multi-agentTool useMemory
CrewAI vs Sycamore — specs
| Spec | CrewAI | Sycamore |
|---|---|---|
| Agent Rank | 70 / 100 (B) | 67 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Free · OSS | Subscription |
| Open source | Yes | No |
| Capabilities | Multi-agent, Tool use, Memory | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 4 apps |
| Verified | Verified | — |
| Released | Jan 2024 | Mar 2026 |
Agent Rank breakdown
CrewAI
Agent Rank
70/ 100
- Autonomie
- 9
- Fähigkeiten
- 6
- Integrationen
- 2
- Preise
- 10
- Reife
- 8
- Verifizierbarkeit
- 7
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Sycamore
Agent Rank
67/ 100
- Autonomie
- 8
- Fähigkeiten
- 8
- Integrationen
- 8
- Preise
- 4
- Reife
- 6
- Verifizierbarkeit
- 6
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Pros & cons
CrewAI
Sycamore
Pros
- +$65M seed Mar 2026 (Coatue + Lightspeed) — one of the largest agent-platform seeds ever
- +Built by ex-Atlassian CTO — strong execution + enterprise distribution roots
- +Trust + memory layer designed for "production at scale" agents
Cons
- −Newest of the agent-OS platforms — limited public case studies
- −No public pricing — sales-led motion
- −Competing against Dust, Sema4.ai, Glean for the same enterprise budget
Pricing
CrewAI
Sycamore
Team
Individuell
Engineering teams
- +Agent OS core
- +Standard integrations
- +Standard SLA
Empfohlen
Enterprise
Individuell
Large orgs
- +Multi-agent coordination
- +Trust + memory layers
- +Strategic CS
Sovereign
Individuell
Regulated
- +On-prem deployment
- +Dedicated engineering
- +Custom integrations
Which one should you pick?
CrewAI
Pick CrewAI if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try CrewAI →Sycamore
Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need.
Try Sycamore →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick CrewAI or Sycamore in 2026?+
Pick CrewAI if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use CrewAI for primary work and Sycamore for the workflows where its specific strengths matter.
What's the price difference between CrewAI and Sycamore?+
CrewAI starts at Free · OSS; Sycamore starts at Subscription. CrewAI is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, CrewAI or Sycamore?+
CrewAI is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
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Multi-AgentTool-NutzungMemory
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