AgentShelf vs Kynver
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AgentShelf compared with Kynver
| Detail | 
AgentShelf | 
Kynver |
|---|
| What it does | AI operations platform for building, deploying, and governing specialized business agents without code
| An AI workforce that runs on your machines
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| Stage | Not given
| MVP
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| Founded | Not given
| Not given
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| Based in | US
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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| Key features | - No-code agent builder
- Approved context and tools
- Usage and cost governance
- Website, workspace, and API deployment
- Shared workflow library
- AI Front Desk for websites
- Public and private workspace boundaries
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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| What makes it different | - Complete workspace keeps agent instructions, context, tools, and controls together instead of scattered across platforms
- Cost governance before AI spend becomes uncontrolled operating expense
- Reusable agent patterns and workflows avoid rebuilding for every use case
- Separates agent builders from operators so teams can create and control independently
- Non-developers can build and manage agents without technical expertise
| - Agents run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 17 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
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| Citation Flow (Majestic) | 21 | 13 |
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| Referring domains (Majestic) | 20 | 4 |
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4 details filled in for both companies.
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