Raggy vs llm-analysis-assistant
Side-by-side comparison of two Model Context Protocol servers. Pick the right one for Claude Desktop, Claude Code, or Cursor.
Provides centralized, persistent memory and knowledge graph for AI agents via Raggy, enabling recall of decisions, errors, and preferences across sessions.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
Comparison
| Feature | Raggy | llm-analysis-assistant |
|---|---|---|
| Pricing | Free | Free |
| Installs | — | — |
| Rating | — | — |
| Verified | — | |
| Hosted | Hosted | — |
| Tools | — | — |
| Category | ai | ai |
| Author | sonofakel | xuzexin-hz |
| Repo | sonofakel/raggy-mcp | xuzexin-hz/llm-analysis-assistant |
When to pick Raggy
Provides centralized, persistent memory and knowledge graph for AI agents via Raggy, enabling recall of decisions, errors, and preferences across sessions.
When to pick llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also supports monitoring and simulation of ollama/openai interface.
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