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Give AI agents cross-session memory, semantic search, and smart context injection.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nexus-mcp" yet — see the docs or source repo.
Using nexus-mcp, save this project context: we use TypeScript, PostgreSQL, and a microservices architecture; prioritize these preferences in future coding answers and retrieve relevant past context first.
The tool stores project preferences and context, then automatically injects relevant context into later coding conversations.
Use nexus-mcp to search our previous discussions about API authentication, then summarize the final decision, rejected options, and team preferences.
It returns relevant historical memory and summarizes key conclusions and preference signals.
I want to continue yesterday’s requirements analysis. Use nexus-mcp to find related discussions, user preferences, and unfinished items, then give me a context-aware starting point.
It produces a session starter with past context, preferences, and open tasks to avoid repeating background.
Unify multiple search APIs with key management and flexible search controls.
Connect AI to Unreal Engine for natural language development interactions.
Access 200+ AI models and services through one metered API.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Access real-time market data, execute trades, and analyze portfolios with AI.