Ross ROSS = Recommend OSS · open-source software intelligence for agents

DeusData/codebase-memory-mcp

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies. observed · 2026-08-28

github.com/DeusData/codebase-memory-mcp · homepage · C · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 98
  • Longevity 13
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 190
  • days_rel: 14
  • days_push: 7
  • n_releases_24m: 44

Full methodology

Adoption not part of the score

40771 stars · 3305 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Model Context Protocol (MCP) server that indexes codebases into a persistent knowledge graph of functions, classes, call chains, and HTTP routes using tree-sitter AST parsing across 158 languages. It ships as a single static C binary with zero dependencies, letting AI coding agents answer structural code questions with far fewer tokens than file-by-file exploration.

Use cases

  • index a codebase so AI coding agents can query code structure
  • reduce token usage when an LLM explores a large repository
  • build a knowledge graph of functions, classes, and call chains
  • give Claude Code or Cursor fast structural code search via MCP
  • visualize and explore codebase dependencies as a graph
  • answer questions like 'who calls this function' without reading files

When to choose

  • you use MCP-compatible AI coding agents and want faster, cheaper codebase exploration
  • you need fast structural queries over very large repositories
  • you want a dependency-free, locally-run code intelligence tool that keeps code private

When to avoid

  • you need deep semantic analysis beyond AST and hybrid LSP resolution
  • you want a chatbot or embedded LLM - this is a structural backend only
  • your tooling does not support the Model Context Protocol

Facets

service · maturity active

mcp parser search-engine developer-tools code-review developer-tools large-language-models parsers apis windows cli self-hosted mcp-server tree-sitter knowledge-graph code-intelligence static-analysis sqlite ast llm-tools single-binary ai-agents macos linux

2 sources

Member repositories

RepositoryRoleHealth v2
DeusData/codebase-memory-mcpmain81

For agents

markdown · JSON · MCP: product_card(name="DeusData/codebase-memory-mcp")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem