Distyl vs Harny
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Distyl compared with Harny
| Detail |
Distyl |
Harny |
| What it does | Architecting the AI-Native Enterprise
| Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| CA
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.
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| Key features | - Distillery: Operating system for enterprise AI
- Weave: Autonomous AI system construction
- Context Mesh: Enterprise knowledge structured for AI
- Context Views: Enterprise semantic layer for agents
- Journey: AI voice layer for digital experiences
- Personalization: 1:1 customer engagement at enterprise scale
- Capture: Tacit knowledge capture at scale
- Canary: Self-improvement for AI systems
- Forward-deployed engineers and researchers
- EBITDA impact in 6 months
| - Timestamped memory ingestion with backdating capability
- Per-user data isolation and privacy scoping
- Ranked memory recall with dated evidence
- Connected accounts integration per user
- Long-running agent jobs with folder-level operations
- Configurable token ceiling per API call
- Enforced action limits on agent operations
- Complete action audit trail with hash chaining
- MCP server integration for Claude and other clients
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| What makes it different | - Delivers production AI systems in weeks or months
- 150M+ end users reached by AI systems
| - Highest published BEAM benchmark score at 128K tokens: 85.1, compared to competing memory systems
- 98% fewer tokens required than raw tool output, making responses 4× cheaper
- Works with 20+ agent frameworks including LangChain, LangGraph and LlamaIndex
- First 500 monthly-active end users free forever
- Per-person billing model scales with user growth, not API calls
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 57 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 16 | 0 |
| Citation Flow (Majestic) | 36 | 0 |
| Referring domains (Majestic) | 371 | 1 |
5 details filled in for both companies.
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