Harny vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Harny compared with Exabase
| Detail | 
Harny | 
Exabase |
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| What it does | Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
| Context infrastructure for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | CA
| GB
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.
| Not given
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| Key features | - 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
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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| What makes it different | - 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
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 11 |
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| Citation Flow (Majestic) | 0 | 32 |
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| Referring domains (Majestic) | 1 | 122 |
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5 details filled in for both companies.
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