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ツール利用メモリマルチエージェント
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Fixie vs Mercorwhich AI ops agent should you pick in 2026?
Build durable agents that act on your internal data — open framework.
Tool useRAGMemoryMulti-agent
Fixie vs Mercor — specs
| Spec | Fixie | Mercor |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 63 / 100 (B) |
| Autonomy | Semi-autonomous | Autonomous |
| Pricing | Free · OSS | Subscription |
| Open source | Yes | No |
| Capabilities | Tool use, RAG, Memory, Multi-agent | Tool use, Voice, Memory, RAG |
| Integrations | 3 apps | 4 apps |
| Verified | — | — |
| Released | Feb 2025 | Apr 2025 |
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?
Mercor
Agent Rank
63/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 4
- 料金
- 4
- 完成度
- 7
- 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
Mercor
メリット
- +$2B valuation — most-funded AI recruiting platform of 2025
- +AI-led sourcing → interview → contract → payment in a single stack
- +Strong specialization in knowledge-work and AI-evaluation roles
デメリット
- −Marketplace model — talent quality varies significantly by role type
- −US-centric talent pool; international hiring is less mature
- −No public pricing — enterprise sales motion only
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
Mercor
Employer
カスタム
Hiring teams
- +Sourcing + interviewing agents
- +Contractor management
- +Payments
おすすめ
Enterprise
カスタム
Large hirers
- +Unlimited roles
- +Custom rubrics
- +Strategic CS
Which one should you pick?
Fixie
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters.
Try Fixie →Mercor
Pick Mercor if you want the highest autonomy and the verification loop is in place.
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Frequently asked
Should I pick Fixie or Mercor in 2026?+
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters. Pick Mercor if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Fixie for primary work and Mercor for the workflows where its specific strengths matter.
What's the price difference between Fixie and Mercor?+
Fixie starts at Free · OSS; Mercor 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 Mercor?+
Mercor 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.
Readers comparing Fixie and Mercor 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 playEnterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.
ツール利用メモリRAGマルチエージェント
See more alternatives: alternatives to Fixie · alternatives to Mercor
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