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Give AI coding assistants persistent memory and local vector search.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ContextBridge" MCP server from askskill: Run: claude mcp add 'io-github-thundereagle-context-bridge' -- npx -y ThunderEagle.ContextBridge
Please write the current project's module notes, key APIs, common commands, and troubleshooting tips into ContextBridge for later retrieval during coding.
The tool stores project knowledge as retrievable memory for future code generation and Q&A.
Search ContextBridge for previous memories about user authentication, middleware, and logging wrappers, then summarize them into reusable development guidance.
Returns relevant prior approaches, summarized code context, and reusable implementation points.
Sync recent code review conclusions, architecture decisions, and technical debt notes into ContextBridge so the AI assistant can prioritize these constraints in future edits.
Creates persistent long-term context that helps the assistant make more consistent coding decisions.
Build persistent, semantically searchable memory for codebases via natural language queries.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Give AI coding assistants local long-term memory with searchable lessons and patterns.
Lightweight vector memory for AI agents to store, search, and delete memories.
Give Claude Code persistent memory and semantic context retrieval across sessions.
Give AI coding tools persistent memory, searchable knowledge, and automatic prompt context.