DeusData · Tokarzewski · Sep 7, 2026
@@ -4,7 +4,7 @@
 [![License](https://img.shields.io/badge/license-MIT-green)](LICENSE)
 [![CI](https://img.shields.io/github/actions/workflow/status/DeusData/codebase-memory-mcp/dry-run.yml?label=CI)](https://github.com/DeusData/codebase-memory-mcp/actions/workflows/dry-run.yml)
 [![Tests](https://img.shields.io/badge/tests-6768_passing-brightgreen)](https://github.com/DeusData/codebase-memory-mcp)
-[![Languages](https://img.shields.io/badge/languages-162-orange)](https://github.com/DeusData/codebase-memory-mcp)
+[![Languages](https://img.shields.io/badge/languages-163-orange)](https://github.com/DeusData/codebase-memory-mcp)
 [![Hybrid LSP](https://img.shields.io/badge/Hybrid_LSP-10_languages-blue)](#hybrid-lsp)
 [![Agents](https://img.shields.io/badge/agent_surfaces-45-purple)](https://github.com/DeusData/codebase-memory-mcp)
 [![Pure C](https://img.shields.io/badge/pure_C-no_language_runtime-blue)](https://github.com/DeusData/codebase-memory-mcp)
@@ -16,7 +16,7 @@
 
 **The fastest and most efficient code intelligence engine for AI coding agents.** Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in under 1ms. Ships as a native executable with a small verified runtime-asset set for macOS, Linux, and Windows — download, run `install`, done.
 
-High-quality parsing through [tree-sitter](https://tree-sitter.github.io/tree-sitter/) AST analysis across all 162 languages, enhanced with [**Hybrid LSP** semantic type resolution](#hybrid-lsp) for Python, TypeScript / JavaScript / JSX / TSX, PHP, C#, Go, C, C++, Java, Kotlin, Rust, and Perl — producing a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. 15 MCP tools. No language runtime, hosted service, or API key. Plug and play across 45 supported automatic/conditional client surfaces.
+High-quality parsing through [tree-sitter](https://tree-sitter.github.io/tree-sitter/) AST analysis across all 163 languages, enhanced with [**Hybrid LSP** semantic type resolution](#hybrid-lsp) for Python, TypeScript / JavaScript / JSX / TSX, PHP, C#, Go, C, C++, Java, Kotlin, Rust, and Perl — producing a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. 15 MCP tools. No language runtime, hosted service, or API key. Plug and play across 45 supported automatic/conditional client surfaces.
 
 > **Research** — The design and benchmarks behind this project are described in the preprint [*Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP*](https://arxiv.org/abs/2603.27277) (arXiv:2603.27277). Evaluated across 31 real-world repositories: 83% answer quality, 10× fewer tokens, 2.1× fewer tool calls vs. file-by-file exploration.
 
@@ -32,7 +32,7 @@ High-quality parsing through [tree-sitter](https://tree-sitter.github.io/tree-si
 
 - **Extreme indexing speed** — Linux kernel (28M LOC, 75K files) in 3 minutes. RAM-first pipeline: LZ4 compression, in-memory SQLite, fused Aho-Corasick pattern matching. Memory released after indexing.
 - **Plug and play** — native executable plus authenticated release-owned assets for macOS (arm64/amd64), Linux (arm64/amd64), and Windows (amd64). The native install needs no Docker, language runtime, or API keys. Download → `install` → restart agent → done.
-- **162 languages** — vendored tree-sitter grammars compiled into the binary. Nothing to install, nothing that breaks.
+- **163 languages** — vendored tree-sitter grammars compiled into the binary. Nothing to install, nothing that breaks.
 - **120x fewer tokens** — 5 structural queries: ~3,400 tokens vs ~412,000 via file-by-file search. One graph query replaces dozens of grep/read cycles.
 - **45 supported automatic/conditional client surfaces** — `install` configures detected clients and safely activates conditional clients only when their documented platform, marker, or explicit existing config path is present. See [Multi-Agent Support](#multi-agent-support) for the complete matrix and manual/UI-only boundaries.
 - **Built-in graph visualization** — 3D interactive UI at `localhost:9749`, served from the binary itself.
@@ -815,22 +815,22 @@ codebase-memory-mcp ships a **lightweight C implementation of language type-reso
 
 **Two-layer architecture:**
 
-1. **Tree-sitter pass** — fast, syntactic, runs for every one of the 162 languages. Extracts definitions, calls, imports.
+1. **Tree-sitter pass** — fast, syntactic, runs for every one of the 163 languages. Extracts definitions, calls, imports.
 2. **Hybrid LSP pass** — type-aware, runs above the tree-sitter pass per-language. Refines call edges using the import graph plus a per-file or pre-built cross-file definition registry. Languages without a Hybrid LSP pass yet fall back to textual resolution, so you always get *some* answer.
 
 The result is a knowledge graph accurate enough to drive `trace_path` across packages, inheritance hierarchies, and stdlib calls — without paying for a language server process per project.
 
 ## Language Support
 
-162 languages, all parsed via vendored tree-sitter grammars compiled into the binary. Benchmarked against 64 real open-source repositories (78 to 49K nodes):
+163 languages, all parsed via vendored tree-sitter grammars compiled into the binary. Benchmarked against 64 real open-source repositories (78 to 49K nodes):
 
 | Tier | Score | Languages |
 |------|-------|-----------|
 | **Excellent** (>= 90%) | | Lua, Kotlin, C++, Perl, Objective-C, Groovy, C, Bash, Zig, Swift, CSS, YAML, TOML, HTML, SCSS, HCL, Dockerfile |
 | **Good** (75-89%) | | Python, TypeScript, TSX, Go, Rust, Java, R, Dart, JavaScript, Erlang, Elixir, Scala, Ruby, PHP, C#, SQL |
 | **Functional** (< 75%) | | OCaml, Haskell |
 
-Also supported (not yet benchmarked): Ada, Agda, Apex, Assembly (NASM), Astro, AWK, Beancount, BibTeX, Bicep, Bitbake, Blade, Cairo, Cap'n Proto, Clojure, CMake, COBOL, Common Lisp, Crystal, CSV, CUDA, D, Devicetree, Diff, .env, Elm, Emacs Lisp, F#, Fennel, Fish, FORM, Fortran, FunC, GDScript, .gitattributes, .gitignore, Gleam, GLSL, GN, Go module, Go template, GraphQL, Hare, HLSL, Hyprlang, INI, ISPC, Janet, Jinja2, JSDoc, JSON, JSON5, Jsonnet, Julia, Just, Kconfig, KDL, Lean 4, Linker Script, Liquid, LLVM IR, Luau, Magma, Makefile, Markdown, MATLAB, Mermaid, Meson, Move, Nickel, Nim, Nix, Odin, Pascal, Pkl, PO (gettext), Pony, PowerShell, Prisma, .properties, Protobuf, Puppet, PureScript, Racket, Regex, requirements.txt, ReScript, RON, reStructuredText, Scheme, Slang, Smali, Smithy, Solidity, SOQL, SOSL, Squirrel, SSH config, Starlark, Svelte, Sway, SystemVerilog, TableGen, Tcl, Teal, Templ, Thrift, TLA+, Typst, Verilog, VHDL, Vim script, Vue, WGSL, WIT, Wolfram, XML, Zsh.
+Also supported (not yet benchmarked): Ada, Agda, Apex, Assembly (NASM), Astro, AWK, Beancount, BibTeX, Bicep, Bitbake, Blade, Cairo, Cap'n Proto, Clojure, CMake, COBOL, Common Lisp, Crystal, CSV, CUDA, D, Devicetree, Diff, .env, Elm, Emacs Lisp, F#, Fennel, Fish, FORM, Fortran, FunC, GDScript, .gitattributes, .gitignore, Gleam, GLSL, GN, Go module, Go template, GraphQL, Hare, HLSL, Hyprlang, INI, ISPC, Janet, Jinja2, JSDoc, JSON, JSON5, Jsonnet, Julia, Just, Kconfig, KDL, Lean 4, Linker Script, Liquid, LLVM IR, Luau, Magma, Makefile, Markdown, MATLAB, Mermaid, Meson, Move, Nickel, Nim, Nix, Odin, Pascal, Pkl, PO (gettext), Pony, PowerShell, Prisma, .properties, Protobuf, Puppet, PureScript, Racket, Regex, requirements.txt, ReScript, RON, reStructuredText, Scheme, Slang, Smali, Smithy, Solidity, SOQL, SOSL, Squirrel, SSH config, Starlark, Svelte, Sway, SystemVerilog, TableGen, Tcl, Teal, Templ, Thrift, TLA+, Typst, Verilog, VHDL, Vim script, Visual Basic 6 / VBA, Vue, WGSL, WIT, Wolfram, XML, Zsh.
 
 ## Architecture
 
@@ -848,7 +848,7 @@ src/
   traces/             Runtime trace ingestion
   ui/                 Local HTTP server + verified external 3D-UI asset pack
   foundation/         Platform abstractions (threads, filesystem, logging, memory)
-internal/cbm/         Vendored tree-sitter grammars (162 languages) + AST extraction engine
+internal/cbm/         Vendored tree-sitter grammars (163 languages) + AST extraction engine
 ```
 
 ## Security

@@ -37,7 +37,7 @@ The core runtime headers in `internal/cbm/vendored/common/tree_sitter/`
 
 ## Tree-sitter Grammars
 
-160 pre-generated parsers are vendored in `internal/cbm/vendored/grammars/<lang>/`
+161 pre-generated parsers are vendored in `internal/cbm/vendored/grammars/<lang>/`
 (generated `parser.c` plus `scanner.c` where applicable, compiled statically).
 Each grammar is the work of its upstream authors and each grammar directory
 contains the upstream `LICENSE` file.

@@ -4,15 +4,15 @@
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>codebase-memory-mcp — Code Intelligence Knowledge Graph for AI Coding Agents</title>
-    <meta name="description" content="codebase-memory-mcp is an open-source MCP server that indexes any codebase into a persistent knowledge graph so AI coding agents answer structural questions with ~120x fewer tokens. 162 languages, Hybrid LSP type resolution, local semantic vector search, code-clone detection, sub-1ms queries, Linux kernel indexed in 3 minutes. Native executable with verified assets and no language runtime. One command configures 45 automatic/conditional client surfaces.">
+    <meta name="description" content="codebase-memory-mcp is an open-source MCP server that indexes any codebase into a persistent knowledge graph so AI coding agents answer structural questions with ~120x fewer tokens. 163 languages, Hybrid LSP type resolution, local semantic vector search, code-clone detection, sub-1ms queries, Linux kernel indexed in 3 minutes. Native executable with verified assets and no language runtime. One command configures 45 automatic/conditional client surfaces.">
     <meta name="keywords" content="MCP server, code intelligence, knowledge graph, tree-sitter, Hybrid LSP, semantic code search, code embeddings, code clone detection, cross-repo analysis, data-flow analysis, Claude Code, Codex CLI, Gemini CLI, Cursor, Zed, code exploration, token reduction, call graph, dead code detection">
     <meta name="author" content="DeusData">
     <meta name="robots" content="index, follow, max-image-preview:large, max-snippet:-1">
     <meta name="theme-color" content="#0d1117">
 
     <!-- Open Graph -->
     <meta property="og:title" content="codebase-memory-mcp — Code Intelligence Knowledge Graph for AI Coding Agents">
-    <meta property="og:description" content="Index any codebase into a persistent knowledge graph. AI agents answer structural questions with ~120x fewer tokens. 162 languages, Hybrid LSP, sub-1ms queries, native executable with verified assets.">
+    <meta property="og:description" content="Index any codebase into a persistent knowledge graph. AI agents answer structural questions with ~120x fewer tokens. 163 languages, Hybrid LSP, sub-1ms queries, native executable with verified assets.">
     <meta property="og:type" content="website">
     <meta property="og:url" content="https://deusdata.github.io/codebase-memory-mcp/">
     <meta property="og:image" content="https://deusdata.github.io/codebase-memory-mcp/graph-ui-screenshot.png">
@@ -24,7 +24,7 @@
     <!-- Twitter Card -->
     <meta name="twitter:card" content="summary_large_image">
     <meta name="twitter:title" content="codebase-memory-mcp — Code Intelligence for AI Coding Agents">
-    <meta name="twitter:description" content="Index any codebase into a knowledge graph. ~120x fewer tokens for AI code exploration. 162 languages, Hybrid LSP, sub-1ms queries, native executable with verified assets.">
+    <meta name="twitter:description" content="Index any codebase into a knowledge graph. ~120x fewer tokens for AI code exploration. 163 languages, Hybrid LSP, sub-1ms queries, native executable with verified assets.">
     <meta name="twitter:image" content="https://deusdata.github.io/codebase-memory-mcp/graph-ui-screenshot.png">
 
     <link rel="canonical" href="https://deusdata.github.io/codebase-memory-mcp/">
@@ -41,7 +41,7 @@
       "applicationSubCategory": "Model Context Protocol (MCP) server",
       "operatingSystem": "macOS, Linux, Windows",
       "softwareVersion": "0.8.1",
-      "description": "An open-source MCP server that indexes a codebase into a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links, so AI coding agents answer structural questions with roughly 120x fewer tokens than file-by-file search. Parses 162 languages via tree-sitter with Hybrid LSP semantic type resolution for 9 language families. Ships as a native executable with authenticated release-owned assets; the native install needs no language runtime.",
+      "description": "An open-source MCP server that indexes a codebase into a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links, so AI coding agents answer structural questions with roughly 120x fewer tokens than file-by-file search. Parses 163 languages via tree-sitter with Hybrid LSP semantic type resolution for 9 language families. Ships as a native executable with authenticated release-owned assets; the native install needs no language runtime.",
       "url": "https://deusdata.github.io/codebase-memory-mcp/",
       "downloadUrl": "https://github.com/DeusData/codebase-memory-mcp/releases/latest",
       "codeRepository": "https://github.com/DeusData/codebase-memory-mcp",
@@ -125,7 +125,7 @@
           "name": "What is codebase-memory-mcp?",
           "acceptedAnswer": {
             "@type": "Answer",
-            "text": "codebase-memory-mcp is an open-source Model Context Protocol (MCP) server that indexes a codebase into a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. AI coding agents query that graph instead of reading files one by one, answering structural questions with roughly 120x fewer tokens. It parses 162 languages and ships as a native executable with authenticated release-owned assets; the native install needs no language runtime."
+            "text": "codebase-memory-mcp is an open-source Model Context Protocol (MCP) server that indexes a codebase into a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. AI coding agents query that graph instead of reading files one by one, answering structural questions with roughly 120x fewer tokens. It parses 163 languages and ships as a native executable with authenticated release-owned assets; the native install needs no language runtime."
           }
         },
         {
@@ -141,7 +141,7 @@
           "name": "Which programming languages does codebase-memory-mcp support?",
           "acceptedAnswer": {
             "@type": "Answer",
-            "text": "It supports 162 languages through vendored tree-sitter grammars compiled into the binary, including Python, Go, JavaScript, TypeScript, Rust, Java, C, C++, C#, PHP, Ruby, Kotlin, Swift, and many more. Nine language families — Python, TypeScript/JavaScript, PHP, C#, Go, C/C++, Java, Kotlin, and Rust — additionally get Hybrid LSP semantic type resolution."
+            "text": "It supports 163 languages through vendored tree-sitter grammars compiled into the binary, including Python, Go, JavaScript, TypeScript, Rust, Java, C, C++, C#, PHP, Ruby, Kotlin, Swift, and many more. Nine language families — Python, TypeScript/JavaScript, PHP, C#, Go, C/C++, Java, Kotlin, and Rust — additionally get Hybrid LSP semantic type resolution."
           }
         },
         {
@@ -444,7 +444,7 @@ <h1>codebase-memory-mcp</h1>
             The fastest, most efficient code intelligence engine for AI coding agents. It indexes any
             repository into a persistent knowledge graph — full-indexing an average repo in seconds and the
             Linux kernel in 3 minutes — so your agent answers structural questions with ~120x fewer tokens.
-            Tree-sitter parsing across 162 languages, Hybrid LSP type resolution, native executable with verified assets.
+            Tree-sitter parsing across 163 languages, Hybrid LSP type resolution, native executable with verified assets.
         </p>
         <div>
             <div class="stat"><div class="number">~120x</div><div class="label">fewer tokens</div></div>
@@ -483,7 +483,7 @@ <h2>What is codebase-memory-mcp?</h2>
             Protocol (MCP)</a> server that indexes a codebase into a persistent knowledge graph of functions,
             classes, call chains, HTTP routes, and cross-service links. Instead of reading files one at a time,
             an AI coding agent queries the graph — answering structural questions with roughly 120x fewer
-            tokens. It parses 162 languages and ships as a native executable with authenticated release-owned assets;
+            tokens. It parses 163 languages and ships as a native executable with authenticated release-owned assets;
             the native install needs no language runtime.
         </p>
         <p class="muted">
@@ -606,7 +606,7 @@ <h3>Languages with full Hybrid LSP</h3>
             </tbody>
         </table>
         <p class="muted">
-            The two-layer pipeline runs a fast syntactic tree-sitter pass for every one of the 162 languages,
+            The two-layer pipeline runs a fast syntactic tree-sitter pass for every one of the 163 languages,
             then a type-aware Hybrid LSP pass on top for the families above. Languages without a Hybrid LSP pass
             yet fall back to textual resolution, so you always get an answer.
         </p>
@@ -699,7 +699,7 @@ <h2>How fast is it?</h2>
         <h2>Features</h2>
         <div class="features">
             <div class="feature">
-                <h3>162 languages</h3>
+                <h3>163 languages</h3>
                 <p>Python, Go, JS, TS, TSX, Rust, Java, C++, C#, C, PHP, Ruby, Kotlin, Scala, Zig, Elixir, Haskell, OCaml, Swift, Dart, Lean 4, and many more via vendored tree-sitter grammars compiled into the binary.</p>
             </div>
             <div class="feature">