ファーストクラスのAIエージェントノードを備えたオープンソースの workflow 自動化 — セルフホストまたはクラウドで利用可能。
ツール利用メモリマルチエージェント
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Fixie vs Sycamorewhich AI ops agent should you pick in 2026?
Build durable agents that act on your internal data — open framework.
Tool useRAGMemoryMulti-agent
Fixie vs Sycamore — specs
| Spec | Fixie | Sycamore |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Free · OSS | Subscription |
| Open source | Yes | No |
| Capabilities | Tool use, RAG, Memory, Multi-agent | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 4 apps |
| Verified | — | — |
| Released | Feb 2025 | Mar 2026 |
Agent Rank breakdown
Fixie
Agent Rank
73/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 6
- 料金
- 10
- 完成度
- 6
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Sycamore
Agent Rank
67/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 8
- 料金
- 4
- 完成度
- 6
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Fixie
メリット
- +Real multi-agent primitives — planner + workers + reviewer out of the box
- +Strong for internal-tool agents over your own data
- +Permissive license; auditable end-to-end
デメリット
- −Framework, not a finished product — engineering effort to ship anything
- −Smaller community than LangChain / LlamaIndex
- −Cloud pricing not yet published — usage-based and opaque
Sycamore
メリット
- +$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
デメリット
- −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
Fixie
Open source
無料
Builders
- +Apache-2.0 framework
- +Self-host
- +Bring your own models + data
Cloud
カスタム
Teams
- +Hosted runtime
- +Multi-agent orchestration
- +Observability
Sycamore
Team
カスタム
Engineering teams
- +Agent OS core
- +Standard integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large orgs
- +Multi-agent coordination
- +Trust + memory layers
- +Strategic CS
Sovereign
カスタム
Regulated
- +On-prem deployment
- +Dedicated engineering
- +Custom integrations
Which one should you pick?
Fixie
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters.
Try Fixie →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 Fixie or Sycamore in 2026?+
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters. Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Fixie for primary work and Sycamore for the workflows where its specific strengths matter.
What's the price difference between Fixie and Sycamore?+
Fixie starts at Free · OSS; Sycamore starts at Subscription. Fixie 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, Fixie or Sycamore?+
Both Fixie and Sycamore are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Fixie and Sycamore also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
"Multiplayer AI" — shared, governed company-wide agents across your stack.
ツール利用メモリRAGマルチエージェント
Demo · hover to playEU-sovereign agentic assistant on Mistral Medium 3.5 with parallel Work mode across SaaS.
コード実行ツール利用メモリRAG
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See more alternatives: alternatives to Fixie · alternatives to Sycamore
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