Code Fundi vs sqry

Code Fundi turns indexed repositories into searchable maps of a codebase for AI agents, teams, and applications. Search combines semantic search with documentation-aware and code grep; research adds AI synthesis grounded in repository search results. Its blast-radius analysis maps dependents, data flows, entry points, and call edges, and requires a DEV plan or higher. Users can access it through a web app, MCP server, HTTP API, or extensions for VS Code and Cursor; the maker also lists Windsurf support. The versioned API covers search, research, indexing, blast-radius analysis, Markdown blueprints, file documentation, history, and account utilities. Private repositories require a linked GitHub account with access. The maker says proprietary code is not used to train public models and describes its approach as zero-data retention. Plans set credit allowances, private repository caps, usage-log retention, and Markdown detail levels; research and chat can add model usage on top of base credit costs. Free includes 500 credits and email support; paid plans are Dev at $21 a month, Startup at $62 a month, and Pro at $210 a month.

sqry is an open-source code analysis tool from Verivus Pty Ltd. It parses source code into an abstract syntax tree and a graph of symbols and relationships, then answers structural questions such as which functions call another. Its documented queries cover callers, callees, implementations, dependency cycles and unused symbols. The project lists 37 language plugins: 28 support full relation tracking, while nine extract symbols and imports. Users build an index before querying; it persists so later queries can load the cached graph snapshot. sqry runs locally on Linux, macOS and Windows, under the MIT license. Its maker says source code stays on the machine and the tool has no telemetry. It offers an MCP server for AI assistants, with 39 tools in standalone mode and a curated subset of 16 in daemon mode. An LSP server works with VS Code, Neovim, Helix and LSP 3.17 clients. Installers are listed for the three desktop platforms, as is cargo installation. Windows executables require bundled MinGW runtime DLLs; the release ZIP includes them.