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Lets AI agents query a function-level dependency graph of a codebase through an MCP server and CLI for impact, complexity, and architecture analysis.
$claude mcp add ops-codegraph-tool -- npx -y @optave/codegraph
Provides local-first memory, code graphing, and wiki capabilities to help AI coding agents learn from errors and maintain long-term context.
$claude mcp add remem-mcp -- npx -y remem-mcp
Lets AI coding agents look up team design decisions and analyze the impact zone of code changes to prevent regressions.
$claude mcp add tently-mcp -- npx -y @tently/mcp
Reduces AI coding agent token usage by providing a deterministic code graph of repositories for structured queries instead of full file reads.
$claude mcp add openvisio-oss -- npx -y openvisio
Turns source code and project knowledge into a searchable graph for AI agents using tree-sitter parsing and vector retrieval.
Provides a codebase intelligence layer for AI coding agents using semantic indexing, graph navigation, and repository architecture analysis.
Turns repositories into spec-driven, agent-ready projects using a local code graph, multi-agent loops, and enforced project laws.
$claude mcp add speclaw -- npx -y @esneiderbravo/speclaw
Understand any codebase in seconds - MCP server for AI coding agents
