Vivgrid vs Harny
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Vivgrid compared with Harny
| Detail |
Vivgrid |
Harny |
| What it does | The Managed Skills Platform for AI Agents
| 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
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| Founded | Not given
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| Based in | US
| CA
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
| 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 | - Managed Skills with instant deployment to all agents
- Agent observability and debugging across all decisions
- Globally distributed inference with low latency
- Safety guardrails and agent evaluation
- Multi-agent orchestration with stateful memory
- Centralized security and access control
- Support for multiple frontier LLM models
- Real-time cost and performance insights
- Agent Insights dashboard
| - 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 | - Ship agent improvements in minutes instead of release cycles
- Centralized skill management without requiring redeploy
- Complete visibility into agent decisions for fast debugging
- Proven safe releases with guardrails before production
- No infrastructure expertise required to deploy agents at scale
| - 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
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 39 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 25 | 0 |
| Citation Flow (Majestic) | 38 | 0 |
| Referring domains (Majestic) | 2622 | 1 |
6 details filled in for both companies.
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