| What it does | Full-stack Model Context Protocol platform for building, testing, and deploying MCP servers and agentic AI applications
| 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 | Hobby: free forever with 30k requests/mo; Pro: $30/org/mo with 300k requests/mo included and $0.10 per 1k extra requests beyond 300k; Enterprise: custom pricing starting at $250/mo with dedicated infrastructure and custom SLAs.
| 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 | - Open-source TypeScript SDK with declarative decorators and Zod validation
- NitroStudio desktop IDE for visual tool testing and AI reasoning visualization
- NitroCloud serverless hosting with auto-scaling and custom domains
- GitHub integration for one-click deployment
- Enterprise authentication modules
- White-label NitroChat AI interface
- 99.99% uptime SLA on NitroCloud
- API to MCP conversion tools
| - 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 | - Designed for teams building custom MCP tools from their own APIs, not a catalog of prebuilt connectors
- Complete full-stack platform combining SDK, IDE, and cloud hosting in one suite
- Open-source core with npm-installable packages for SDK, CLI, and UI widgets
- 80,000 deployments and 13 million requests already in production
- Enterprise-grade security with AES-256 encryption and JWT authentication
| - 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 |
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| DR (Domain Rating by Ahrefs) | 15 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 28 | 0 |
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| Referring domains (Majestic) | 125 | 1 |
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NitroStack
Harny