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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.
Give AI coding assistants persistent memory and full-text knowledge retrieval.
Provides code context, memory, search, and AI tooling for developers.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Build persistent, semantically searchable memory for codebases via natural language queries.
Give AI coding agents long-term memory, search, and organization across sessions.
Store and retrieve long-term AI memories with semantic search and tags.