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By augmentcode
Bring full codebase context into your AI workflows. The Augment Context Engine MCP delivers deep semantic understanding across large, long-lived codebases, including architecture, dependencies, and history. Use it to move beyond file-level prompts, plan changes with confidence, and automate complex tasks safely. Make system-level context a native input to your agents so AI can operate reliably on real-world production software.
npx claudepluginhub augmentcode/context-engine-plugin --plugin augment-context-engineA powerful code indexing tool with multi-platform support
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions. Includes a lightweight code exploration subagent, authentication hooks, and multiple search modes (fast lexical, semantic, and deep cross-cutting). Works standalone or alongside the CodeAlive MCP server for direct tool access via the Model Context Protocol.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
(Alpha) Persistent memory, architectural decisions, and safety guardrails for Claude Code. Your agent starts every session with full project context — stack, decisions, patterns, safety rules, and a handoff from the previous session.
Cortex MCP server for repo-scoped semantic context in Claude Code
Commands for loading context and priming Claude for specific tasks
Claude Code workflow patterns: prompting, CLAUDE.md maintenance, multi-agent orchestration
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