Cortex vs Network AI

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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C
Cortex
gzoonet
🔗 Aggregators
N
Network AI
Jovancoding
🔗 Aggregators
SummaryLocal-first knowledge graph for developers. Watches project files, extracts entities and relationships via LLMs, builds a queryable knowledge graph with web dashboard and CLI. Provides 4 MCP tools: getstatus, listprojects, findentity, querycortex.Multi-agent orchestration MCP server with race-condition-safe shared blackboard. 20+ MCP tools: blackboard read/write, agent spawn/stop, FSM transitions, budget tracking, token management, and audit log query. npx network-ai-server --port 3001.
Quality signal27/100 (Emerging)23/100 (Emerging)
Install pathnpx · highnpx · high
Engagement 1 0 0 18 1 0 0
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView CortexView Network AI
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