Overview
Hjarni is a hosted knowledge-base service with a built-in MCP server, launched May 2026. It offers zero-setup operation: Claude and ChatGPT can share the same brain through MCP. In the comprehensive report it is the “Hosted (Zero-Setup)” pattern (Pattern D), aimed at non-technical users.
Key Facts
- Type: hosted MCP wiki service (zero local setup)
- MCP: built-in MCP server so multiple LLMs (Claude + ChatGPT) share one brain
- Audience: non-technical users, teams wanting zero maintenance
- Launch: May 2026 (second wave of LLM Wiki infrastructure)
- URL: https://hjarni.com
Features
Core Architecture
- Hosted service — zero local setup, runs entirely in the cloud
- MCP-native — built-in Model Context Protocol server
- Multi-LLM sharing — Claude + ChatGPT share the same brain via MCP
- Zero maintenance — no terminal, no config, no updates to manage
Ingest & Processing
- Web-based ingest — add sources through the hosted interface
- URL capture — save web content directly
Search & Retrieval
- MCP search — hybrid search via Model Context Protocol
- Cross-LLM consistency — same knowledge base accessible from multiple LLMs
Integration
- Claude + ChatGPT — multi-LLM support via MCP
- Zero-setup — no installation, no configuration
- Teams — shared knowledge base for teams
Data & Storage
- Cloud-hosted — managed infrastructure
- MCP protocol — standardized agent access
Relationships
- “powered-by” model-context-protocol — its core mechanism is a hosted MCP server
- “compatible-with” llm-wiki — hosted implementation of the pattern
- “sibling-of” lucasastorian-llmwiki — also offers a hosted option, but Hjarni is MCP-native
- “contradicts” cognee — contrast: Cognee is self-hosted graph; Hjarni is hosted MCP
Implications
Hjarni is the “remove the manual entirely” option the user has been pushing for — no terminal, no config. The trade-off (already noted for hosted tools) is vendor lock-in and less local control, the same caveat raised earlier about nashsu-llm-wiki.
External Links
- Site: https://hjarni.com
Sources
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