"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 playGlean vs Sycamorewhich AI ops agent should you pick in 2026?
Enterprise AI worker — unified search, work assistant, and custom agents grounded in your company knowledge.
RAGMemoryTool use
Glean vs Sycamore — specs
| Spec | Glean | Sycamore |
|---|---|---|
| Agent Rank | 82 / 100 (A) | 67 / 100 (B) |
| Autonomy | Assistant | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | RAG, Memory, Tool use | Tool use, Memory, RAG, Multi-agent |
| Integrations | 6 apps | 4 apps |
| Verified | Verified | — |
| Released | Feb 2025 | Mar 2026 |
Agent Rank breakdown
Glean
Agent Rank
82/ 100
- 自律性
- 7
- 機能
- 6
- 連携
- 10
- 料金
- 9
- 完成度
- 7
- 検証性
- 10
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
Glean
メリット
- +Single best enterprise knowledge agent in 2026 — instant grounding in your company data
- +Custom Agents (Glean Agents) let teams build internal workflows without code
- +Strong permission-aware retrieval — agents see only what users are allowed to
デメリット
- −Enterprise-only — typically $50K+ ACV minimum
- −Initial connector setup takes weeks for full coverage
- −Pricier than ChatGPT Enterprise on a per-seat basis
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
Glean
おすすめ
Enterprise
カスタム
Enterprises 200+ employees
- +Unified search across 100+ apps
- +Work assistant + custom agents
- +SSO + enterprise data isolation
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?
Glean
Pick Glean if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Glean →Sycamore
Pick Sycamore if you want the highest autonomy and the verification loop is in place.
Try Sycamore →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Glean or Sycamore in 2026?+
Pick Glean if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Sycamore if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Glean for primary work and Sycamore for the workflows where its specific strengths matter.
What's the price difference between Glean and Sycamore?+
Glean starts at Subscription · Free tier; Sycamore starts at Subscription. Glean 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, Glean or Sycamore?+
Sycamore is the more autonomous of the two (Semi-autonomous vs Assistant). 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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GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
ツール利用メモリRAGマルチエージェント
Demo · hover to playLinear 内蔵の AIエージェント — 課題のトリアージ、エンジニアリング仕様書の下書き、チケットを横断するクロスチームWorkflowの実行。
ツール利用RAGメモリ
Demo · hover to play
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