DeusData/codebase-memory-mcp: Trending on GitHub
codebase-memory-mcp
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 single static binary for macOS, Linux, and Windows — download, run install, done.
High-quality parsing through tree-sitter AST analysis across all 158 languages, enhanced with Hybrid LSP semantic type resolution for Python, TypeScript / JavaScript / JSX / TSX, PHP, C#, Go, C, C++, Java, Kotlin, and Rust — producing a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. 14 MCP tools. Zero dependencies. Plug and play across 11 coding agents.
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 (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.
Security & Trust — This tool reads your codebase and writes to your agent configuration files. That is what it is designed to do. If you prefer to audit before running, the full source is here — every release binary is signed, checksummed, and scanned by 70+ antivirus engines. All processing happens 100% locally; your code never leaves your machine. Found a security issue? We want to know — see SECURITY.md. Security is Priority #1 for us.
Built-in 3D graph visualization (UI variant) — explore your knowledge graph at localhost:9749
Why codebase-memory-mcp
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 — single static binary for macOS (arm64/amd64), Linux (arm64/amd64), and Windows (amd64). No Docker, no runtime dependencies, no API keys. Download → install → restart agent → done.
158 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.
11 agents, one command — install auto-detects Claude Code, Codex CLI, Gemini CLI, Zed, OpenCode, Antigravity, Aider, KiloCode, VS Code, OpenClaw, and Kiro — configures MCP entries, instruction files, and pre-tool hooks for each.
Built-in graph visualization — 3D interactive UI at localhost:9749 (optional UI binary variant).
Infrastructure-as-code indexing — Dockerfiles, Kubernetes manifests, and Kustomize overlays indexed as graph nodes with cross-references. Resource nodes for K8s kinds, Module nodes for Kustomize overlays with IMPORTS edges to referenced resources.
14 MCP tools — search, trace, architecture, impact analysis, Cypher queries, dead code detection, cross-service HTTP linking, ADR management, and more.
Quick Start
One-line install (macOS / Linux):
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash
With graph visualization UI:
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash -s -- --ui
Windows (PowerShell):
1. Download the installer
Invoke-WebRequest -Uri https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.ps1 -OutFile install.ps1
2. (Optional but recommended) Inspect the script
notepad install.ps1
3. Run it
.\install.ps1
Options: --ui (graph visualization), --skip-config (binary only, no agent setup), --dir=
Restart your coding agent. Say "Index this project" — done.
Manual install
Download the archive for your platform from the latest release:
codebase-memory-mcp-
codebase-memory-mcp-ui-
Extract and install (each archive includes install.sh or install.ps1):
macOS / Linux:
tar xzf codebase-memory-mcp-*.tar.gz ./install.sh
Windows (PowerShell):
Expand-Archive codebase-memory-mcp-windows-amd64.zip -DestinationPath . .\install.ps1
Restart your coding agent.
The install command automatically strips macOS quarantine attributes and ad-hoc signs the binary — no manual xattr/codesign needed.
The install command auto-detects all installed coding agents and configures MCP server entries, instruction files, skills, and pre-tool hooks for each.
Graph Visualization UI
If you downloaded the ui variant:
codebase-memory-mcp --ui=true --port=9749
Open http://localhost:9749 in your browser. The UI runs as a background thread alongside the MCP server — it's available whenever your agent is connected.
Auto-Index
Enable automatic indexing on MCP session start:
codebase-memory-mcp config set auto_index true
When enabled, new projects are indexed automatically on first connection. Previously-indexed projects are registered with the background watcher for ongoing git-based change detection. Configurable file limit: config set auto_index_limit 50000.
Keeping Up to Date
codebase-memory-mcp update
The MCP server also checks for updates on startup and notifies on the first tool call if a newer release is available.
Uninstall
codebase-memory-mcp uninstall
Removes all agent configs, skills, hooks, and instructions. Does not remove the binary or SQLite databases.
Features
Graph & analysis
Architecture overview: get_architecture returns languages, packages, entry points, routes, hotspots, boundaries, layers, and clusters in a single call
Architecture Decision Records: manage_adr persists architectural decisions across sessions
Louvain community detection: Discovers functional modules by clustering call edges
Git diff impact mapping: detect_changes maps uncommitted changes to affected symbols with risk classification
Call graph: Resolves function calls across files and packages (import-aware, type-inferred)
Dead code detection: Finds functions with zero callers, excluding entry points
Cypher-like queries: MATCH (f:Function)-[:CALLS]->(g) WHERE f.name = 'main' RETURN g.name
Search
Semantic search (semantic_query): vector search across the entire graph, powered by bundled Nomic nomic-embed-code embeddings (40K tokens, 768d int8) compiled into the binary — no API key, no Ollama, no Docker. 11-signal combined scoring (TF-IDF, RRI, API/Type/Decorator signatures, AST profiles, data flow, Halstead-lite, MinHash, module proximity, graph diffusion).
BM25 full-text search via SQLite FTS5 with cbm_camel_split tokenizer (camelCase / snake_case aware)
Structural search (search_graph): regex name patterns, label filters, min/max degree, file scoping
Code search (search_code): graph-augmented grep over indexed files only
Cross-service linking
HTTP route ↔ call-site matching with confidence scoring
gRPC, GraphQL, tRPC service detection with protobuf Route extraction
Channel detection (EMITS / LISTENS_ON) for Socket.IO, EventEmitter, and generic pub-sub patterns across 8 languages with constant resolution
Cross-repo intelligence
CROSS_* edges link nodes across multiple repos indexed under the same store
Multi-galaxy 3D UI layout for cross-repo architecture visualization
Cross-repo architecture summary combining services, routes, and dependencies across the indexed fleet
Edge types (selected)
CALLS, IMPORTS, DEFINES, IMPLEMENTS, INHERITS
HTTP_CALLS, ASYNC_CALLS (cross-service)
EMITS, LISTENS_ON (channels)
DATA_FLOWS with arg-to-param mapping + field access chains
SIMILAR_TO (MinHash + LSH near-clone detection, Jaccard scored)
SEMANTICALLY_RELATED (vocabulary-mismatch, same-language, score ≥ 0.80)
Indexing pipeline
158 vendored tree-sitter grammars compiled into the binary
Generic package / module resolution — bare specifiers like @myorg/pkg, github.com/foo/bar, use my_crate::foo resolved via manifest scanning (package.json, go.mod, Cargo.toml, pyproject.toml, composer.json, pubspec.yaml, pom.xml, build.gradle, mix.exs, *.gemspec)
Infrastructure-as-code indexing — Dockerfiles, Kubernetes manifests, Kustomize overlays as graph nodes
Hybrid LSP semantic type resolution for Python, TypeScript / JavaScript / JSX / TSX, PHP, C#, Go, C, C++, Java, Kotlin, and Rust — a lightweight C implementation of language type-resolution algorithms, structurally inspired by and compatible with major language servers including tsserver / typescript-go, pyright, gopls, Roslyn, Eclipse JDT, and rust-analyzer (parameter binding, return-type inference, generic substitution, JSX component dispatch, JSDoc inference for plain JS files, namespace + trait + late-static-binding resolution for PHP, file-scoped namespaces + records + LINQ method syntax for C#, class-hierarchy + overload + lambda resolution for Java, extension-function + scope-function resolution for Kotlin, trait-method + UFCS resolution for Rust)
RAM-first pipeline: LZ4 compression, in-memory SQLite, single dump at end. Memory released after.
Distribution & operation
Single static binary, zero infrastructure: SQLite-backed, persists to ~/.cache/codebase-memory-mcp/
Auto-sync: Background watcher detects file changes and re-indexes automatically
Route nodes: REST endpoints are first-class graph entities
CLI mode: codebase-memory-mcp cli search_graph '{"name_pattern": ".Handler."}'
Available on: npm, PyPI, Homebrew, Scoop, Winget, Chocolatey, AUR, go install
Team-Shared Graph Artifact
Commit a single compressed file to your repo and your teammates skip the reindex.
.codebase-memory/graph.db.zst is a zstd-compressed snapshot of the knowledge graph that lives next to your source. When you index, the artifact is written or refreshed; when a teammate clones the repo and runs codebase-memory-mcp for the first time, the artifact is decompressed and incremental indexing fills in their local diff.
Format: SQLite database, indexes stripped, VACUUM INTO compacted, then zstd 1.5.7 compressed (8–13:1 ratio typical)
Two tiers:
Best (zstd -9 + index strip + VACUUM INTO) — written on explicit index_repository
Fast (zstd -3) — written by the watcher for low-latency incremental updates
Bootstrap: when no local DB exists but the artifact is present, index_repository imports the artifact first, then runs incremental indexing — avoiding the full reindex cost
No merge pain: a .gitattributes line with merge=ours is auto-created on first export, so concurrent edits don't produce conflicts on the binary artifact
Optional: never committed unless you want it. Add .codebase-memory/ to .gitignore if you prefer everyone to reindex from scratch.
The result is similar in spirit to graphify's graphify-out/ directory, but as a single compressed file with explicit two-tier export, integrity-checked import, and zero merge friction.
How It Works
codebase-memory-mcp is a structural analysis backend — it builds and queries the knowledge graph. It does not include an LLM. Instead, it relies on your MCP client (Claude Code, or any MCP-compatible agent) to be the intelligence layer.
You: "what calls ProcessOrder?"
Agent calls: trace_path(function_name="ProcessOrder", direction="inbound")
codebase-memory-mcp: executes graph query, returns structured results
Agent: presents the call chain in plain English
Why no built-in LLM? Other code graph tools embed an LLM for natural language → graph query translation. This means extra API keys, extra cost, and another model to configure. With MCP, the agent you're already talking to is the query translator.
Performance
Benchmarked on Apple M3 Pro:
Operation Time Notes
Linux kernel full index 3 min 28M LOC, 75K files → 4.81M nodes, 7.72M edges
Linux kernel fast index 1m 12s 1.88M nodes
Django full index ~6s 49K nodes, 196K edges
Cypher query <1ms Relationship traversal
Name search (regex) <10ms SQL LIKE pre-filtering
Dead code detection ~150ms Full graph scan with degree filtering
Trace call path (depth=5) <10ms BFS traversal
RAM-first pipeline: All indexing runs in memory (LZ4 HC compressed read, in-memory SQLite, single dump at end). Memory is released back to the OS after indexing completes.
Token efficiency: Five structural queries consumed ~3,400 tokens via codebase-memory-mcp versus ~412,000 tokens via file-by-file grep exploration — a 99.2% reduction.
Installation
Pre-built Binaries
Platform Standard With Graph UI
macOS (Apple Silicon) codebase-memory-mcp-darwin-arm64.tar.gz codebase-memory-mcp-ui-darwin-arm64.tar.gz
macOS (Intel) codebase-memory-mcp-darwin-amd64.tar.gz codebase-memory-mcp-ui-darwin-amd64.tar.gz
Linux (x86_64) codebase-memory-mcp-linux-amd64.tar.gz codebase-memory-mcp-ui-linux-amd64.tar.gz
Linux (ARM64) codebase-memory-mcp-linux-arm64.tar.gz codebase-memory-mcp-ui-linux-arm64.tar.gz
Windows (x86_64) codebase-memory-mcp-windows-amd64.zip codebase-memory-mcp-ui-windows-amd64.zip
Every release includes checksums.txt with SHA-256 hashes. All binaries are statically linked — no shared library dependencies.
Windows note: SmartScreen may show a warning for unsigned software. Click "More info" → "Run anyway". Verify integrity with checksums.txt.
Setup Scripts
Automated download + install macOS / Linux:
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/scripts/setup.sh | bash
Windows (PowerShell):
irm https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/scripts/setup-windows.ps1 | iex
AUR (Arch Linux)
yay -S codebase-memory-mcp-bin
paru -S codebase-memory-mcp-bin
The codebase-memory-mcp-bin package is available at: https://aur.archlinux.org/packages/codebase-memory-mcp-bin
Install via Claude Code
You: "Install this MCP server: https://github.com/DeusData/codebase-memory-mcp"
Build from Source
Prerequisites: C compiler + zlib
Requirement Check Install
C compiler (gcc or clang) gcc --version or clang --version macOS: xcode-select --install, Linux: apt install build-essential
C++ compiler g++ --version or clang++ --version Same as above
zlib — macOS: included, Linux: apt install zlib1g-dev
Git git --version Pre-installed on most systems
git clone https://github.com/DeusData/codebase-memory-mcp.git cd codebase-memory-mcp scripts/build.sh # standard binary scripts/build.sh --with-ui # with graph visualization
Binary at: build/c/codebase-memory-mcp
Manual MCP Configuration
If you prefer not to use the install command Add to ~/.claude/.mcp.json (global) or project .mcp.json:
{ "mcpServers": { "codebase-memory-mcp": { "command": "/path/to/codebase-memory-mcp", "args": [] } } }
Restart your agent. Verify with /mcp — you should see codebase-memory-mcp with 14 tools.
Multi-Agent Support
install auto-detects and configures all installed agents:
Agent MCP Config Instructions Hooks
Claude Code .claude/.mcp.json 4 Skills PreToolUse (Grep/Glob graph augment, non-blocking)
Codex CLI .codex/config.toml .codex/AGENTS.md SessionStart reminder
Gemini CLI .gemini/settings.json .gemini/GEMINI.md BeforeTool (grep reminder) + SessionStart reminder
Zed settings.json (JSONC) — —
OpenCode opencode.json AGENTS.md —
Antigravity .gemini/config/mcp_config.json (shared) antigravity-cli/AGENTS.md SessionStart reminder
Aider — CONVENTIONS.md —
KiloCode mcp_settings.json ~/.kilocode/rules/ —
VS Code Code/User/mcp.json — —
OpenClaw openclaw.json — —
Kiro .kiro/settings/mcp.json — —
Hooks are structurally non-blocking (exit code 0, every failure path). For Claude Code, the PreToolUse hook intercepts Grep/Glob (never Read — gating Read breaks the read-before-edit invariant) and, when the search token matches indexed symbols, injects them as additionalContext via search_graph so the agent gets structured context alongside its normal search results. For Codex, Gemini CLI, and Antigravity, a SessionStart hook injects a one-line code-discovery reminder as session context (Gemini CLI also keeps its BeforeTool reminder). The installed Claude shim file is named cbm-code-discovery-gate for backward compatibility with existing installs; despite the legacy name it never gates and never blocks.
CLI Mode
Every MCP tool can be invoked from the command line:
codebase-memory-mcp cli index_repository '{"repo_path": "/path/to/repo"}' codebase-memory-mcp cli search_graph '{"name_pattern": ".Handler.", "label": "Function"}' codebase-memory-mcp cli trace_path '{"function_name": "Search", "direction": "both"}' codebase-memory-mcp cli query_graph '{"query": "MATCH (f:Function) RETURN f.name LIMIT 5"}' codebase-memory-mcp cli list_projects codebase-memory-mcp cli --raw search_graph '{"label": "Function"}' | jq '.results[].name'
MCP Tools
Indexing
Tool Description
index_repository Index a repository into the graph. Auto-sync keeps it fresh after that.
list_projects List all indexed projects with node/edge counts.
delete_project Remove a project and all its graph data.
index_status Check indexing status of a project.
Querying
Tool Description
search_graph Structured search by label, name pattern, file pattern, degree filters. Pagination via limit/offset.
trace_path BFS traversal — who calls a function and what it calls (alias: trace_call_path). Depth 1-5.
detect_changes Map git diff to affected symbols + blast radius with risk classification.
query_graph Execute Cypher-like graph queries (read-only).
get_graph_schema Node/edge counts, relationship patterns, property definitions per label. Run this first.
get_code_snippet Read source code for a function by qualified name.
get_architecture Codebase overview: languages, packages, routes, hotspots, clusters, ADR.
search_code Grep-like text search within indexed project files.
manage_adr CRUD for Architecture Decision Records.
ingest_traces Ingest runtime traces to validate HTTP_CALLS edges.
Graph Data Model
Node Labels
Project, Package, Folder, File, Module, Class, Function, Method, Interface, Enum, Type, Route, Resource
Edge Types
CONTAINS_PACKAGE, CONTAINS_FOLDER, CONTAINS_FILE, DEFINES, DEFINES_METHOD, IMPORTS, CALLS, HTTP_CALLS, ASYNC_CALLS, IMPLEMENTS, HANDLES, USAGE, CONFIGURES, WRITES, MEMBER_OF, TESTS, USES_TYPE, FILE_CHANGES_WITH
Qualified Names
get_code_snippet uses qualified names:
Supported Cypher (openCypher read subset)
query_graph is a read-only openCypher subset:
Clauses: MATCH, OPTIONAL MATCH, multiple MATCH, WHERE, WITH (+ WITH … WHERE), RETURN, ORDER BY, SKIP, LIMIT, DISTINCT, UNWIND, UNION / UNION ALL, CASE.
Patterns: labelled nodes, label alternation (n:A|B), relationship types/direction, variable-length paths [*1..3], inline property maps.
WHERE: = <> < <= > >=, AND/OR/XOR/NOT, IN, CONTAINS, STARTS WITH, ENDS WITH, IS [NOT] NULL, regex =~, label test n:Label, and EXISTS { (n)-[:TYPE]->() } (single-hop existence — great for dead-code, e.g. WHERE NOT EXISTS { (f)<-[:CALLS]-() }).
Aggregates: count (+DISTINCT), sum, avg, min, max, collect.
Functions: labels, type, id, keys, properties; toLower/toUpper/toString/toInteger/toFloat/toBoolean; size, length, trim/ltrim/rtrim, reverse; coalesce, substring, replace, left, right.
Anything outside this subset (write/MERGE/CALL clauses, unsupported functions, list/map literals, comprehensions, path functions, parameters) fails with a clear unsupported … error rather than returning empty results.
Ignoring Files
Layered: hardcoded patterns (.git, node_modules, etc.) → .gitignore hierarchy → .cbmignore (project-specific, gitignore syntax). Symlinks are always skipped.
Configuration
codebase-memory-mcp config list # show all settings codebase-memory-mcp config set auto_index true # auto-index on session start codebase-memory-mcp config set auto_index_limit 50000 # max files for auto-index codebase-memory-mcp config reset auto_index # reset to default
Environment Variables
Variable Default Description
CBM_CACHE_DIR ~/.cache/codebase-memory-mcp Override the database storage directory. All project indexes and config are stored here.
CBM_DIAGNOSTICS
false
Set to 1 or true to enable periodic diagnostics output to /tmp/cbm-diagnostics-
CBM_DOWNLOAD_URL (GitHub releases) Override the download URL for updates. Used for testing or self-hosted deployments.
CBM_LOG_LEVEL info Set the minimum log level. Accepted values (case-insensitive): debug, info, warn, error, none — or their numeric equivalents 0–4 matching the internal enum. Logs go to stderr; stdout is reserved for MCP JSON-RPC.
CBM_WORKERS (detected) Override the parallel-indexing worker count returned by cbm_default_worker_count. Useful inside containers where sysconf(_SC_NPROCESSORS_ONLN) reports host CPUs rather than the cgroup's effective quota. Range 1–256; invalid values are ignored with a warning.
Store indexes in a custom directory
export CBM_CACHE_DIR=~/my-projects/cbm-data
Custom File Extensions
Map additional file extensions to supported languages via JSON config files. Useful for framework-specific extensions like .blade.php (Laravel) or .mjs (ES modules).
Per-project (in your repo root):
// .codebase-memory.json {"extra_extensions": {".blade.php": "php", ".mjs": "javascript"}}
Global (applies to all projects):
// ~/.config/codebase-memory-mcp/config.json (or $XDG_CONFIG_HOME/...) {"extra_extensions": {".twig": "html", ".phtml": "php"}}
Project config overrides global for conflicting extensions. Unknown language values are silently skipped. Missing config files are ignored.
Persistence
SQLite databases stored at ~/.cache/codebase-memory-mcp/. Persists across restarts (WAL mode, ACID-safe). To reset: rm -rf ~/.cache/codebase-memory-mcp/.
Troubleshooting
Problem Fix
/mcp doesn't show the server Check .mcp.json path is absolute. Restart agent. Test: echo '{}' | /path/to/binary should output JSON.
index_repository fails Pass absolute path: index_repository(repo_path="/absolute/path")
trace_path returns 0 results Use search_graph(name_pattern=".PartialName.") first to find the exact name.
Queries return wrong project results Add project="name" parameter. Use list_projects to see names.
Binary not found after install Add to PATH: export PATH="$HOME/.local/bin:$PATH"
UI not loading Ensure you downloaded the ui variant and ran --ui=true. Check http://localhost:9749.
Hybrid LSP
Semantic type resolution beyond tree-sitter.
Tree-sitter alone gives a syntactic AST. That handles naming, structure, and call sites well, but it can't tell you that user.profile.display_name() resolves to Profile.display_name declared three modules away — tree-sitter doesn't track imports, generics, inheritance, or stdlib types.
codebase-memory-mcp ships a lightweight C implementation of language type-resolution algorithms, structurally inspired by and compatible with major language servers (tsserver / typescript-go, pyright, gopls, Roslyn, Eclipse JDT, rust-analyzer), embedded directly into the static binary. No language server process, no per-project setup, no API key. We call this layer Hybrid LSP: it runs alongside tree-sitter on every parse and refines CALLS, USAGE, and RESOLVED_CALLS edges with type information, so the resulting graph mirrors what an IDE "Go to Definition" would resolve.
Languages with full Hybrid LSP:
Language What it handles
Python (new in v0.7.0) imports + dotted submodule walks, dataclasses, Self return types, generics, @property, match/case class patterns, SQLAlchemy 2.0 Mapped[T], Pydantic BaseModel, typing.Annotated / ClassVar / Final / InitVar, async/await, classmethod/staticmethod, narrowing (isinstance / is not None / walrus), typing.cast / assert_type, common stdlib (logging, pathlib, json, functools). Target ~95% resolution on idiomatic code.
TypeScript / JavaScript / JSX / TSX generics, JSX component dispatch, JSDoc inference for plain JS, .d.ts declarations, module re-exports, method chaining via return-type propagation, per-file overlay chained to a shared cross-file registry
PHP (new in v0.7.0) namespaces, traits, late-static-binding, PHPDoc inference, parameter binding, return-type inference
C# (new in v0.7.0)
global usings, file-scoped namespaces, records (incl. C# 12 primary constructors), LINQ method syntax, async Task
Go (sharpened in v0.7.0) pre-built per-package cross-file registry, generics, embedded structs, interface satisfaction, package-aware import resolution
C / C++ (sharpened in v0.7.0) pre-built per-language cross-file registry shared across C and C++; C side handles macros + typedef chains + header-vs-source linking; C++ side handles templates, namespaces, auto inference, and method resolution via class hierarchy
Java (new in v0.8.0) imports (single-type, on-demand, static), class hierarchies with this / super dispatch, generics, annotations, overload matching by arity and parameter types, lambdas / method references bound to functional interfaces, field-type inference, common JDK stdlib
Kotlin (new in v0.8.0) imports + same-package resolution, classes / objects / companion objects, extension functions, data classes, nullable-type unwrapping, scope functions (let / apply / run / also / with), infix calls, common stdlib
Rust (new in v0.8.0) use declarations + module paths, impl blocks and trait methods, struct fields, generics with trait bounds, operator-trait desugaring, derive-macro method synthesis, UFCS static paths, common std prelude
Two-layer architecture:
Tree-sitter pass — fast, syntactic, runs for every one of the 158 languages. Extracts definitions, calls, imports.
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
158 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.
Architecture
src/ main.c Entry point (MCP stdio server + CLI + install/update/config) mcp/ MCP server (14 tools, JSON-RPC 2.0, session detection, auto-index) cli/ Install/uninstall/update/config (10 agents, hooks, instructions) store/ SQLite graph storage (nodes, edges, traversal, search, Louvain) pipeline/ Multi-pass indexing (structure → definitions → calls → HTTP links → config → tests) cypher/ Cypher query lexer, parser, planner, executor discover/ File discovery (.gitignore, .cbmignore, symlink handling) watcher/ Background auto-sync (git polling, adaptive intervals) traces/ Runtime trace ingestion ui/ Embedded HTTP server + 3D graph visualization foundation/ Platform abstractions (threads, filesystem, logging, memory) internal/cbm/ Vendored tree-sitter grammars (158 languages) + AST extraction engine
Security
Every release binary is verified through a multi-layer pipeline before publication:
VirusTotal — all binaries scanned by 70+ antivirus engines (zero detections required to publish)
SLSA Level 3 — cryptographic build provenance generated by GitHub Actions; verify with gh attestation verify
Sigstore cosign — keyless signatures on all artifacts; bundles included in every release
SHA-256 checksums — checksums.txt published with every release; verified by both install scripts before extraction
CodeQL SAST — blocks release pipeline if any open alerts remain
Zero runtime dependencies — no transitive supply chain; all libraries vendored at compile time
v0.7.0 VirusTotal scans
Binary SHA-256 VirusTotal
linux-amd64 8e12bb2d6ead7f20a6d3... 0/72 ✅
linux-arm64 10f7136bfbf3950c6b2a... 0/72 ✅
darwin-arm64 7062a7408906344bf4f8... 0/72 ✅
darwin-amd64 28c6d640e1a0ac7bfcab... 0/72 ✅
windows-amd64 9c3ddcf78368fd4fa891... 0/72 ✅
Scan links for every release are also included in the GitHub Release notes automatically.
License
MIT
