semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.; pwno-mcp: pwno-mcp runs GDB with pwndbg in an isolated Docker environment and exposes stateful debugging, exploit I/O, and helper tooling over the Model Context Protocol (MCP). It supports multi-session workflows, fast context snapshots, and workspace automation for binary analysis.
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Automated binary exploitation with LLM agents