Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
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Document PMLL short-term KV memory tools and patterns
3f5f81dView on GitHubMerge pull request #26 from sebastiondev/fix/cwe78-static-analysis-partial-db16
b2f6eb8View on GitHubMerge pull request #25 from sebastiondev/fix/cwe22-shadow-restore-6e59
f658adcView on GitHubMerge pull request #24 from nlang/fix/mcp-manifest-instructions
edeae27View on GitHubMerge pull request #1 from drQedwards/copilot/add-memory-mcp-tools
1114078View on GitHubdocs: fix Memory & RAG section to correctly describe pmll-memory-mcp as complementary server
eb853acView on GitHubdocs: add pmll-memory-mcp standalone package info to Memory & RAG sections
3e49651View on GitHubfix: use execFile instead of exec to prevent command injection in static analysis
4fe3585View on GitHubfix: validate file paths stay within rootDir in shadow restore system (CWE-22)
7c30ebaView on GitHubdocs: add instructions for AI agent content modification in TODO list
a3c0bccView on GitHubMerge pull request #23 from cenktekin/docs/readme-openai-provider
2b5a6bdView on GitHub