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

HKUDS/FastCode

"FastCode: Accelerating and Streamlining Your Code Understanding" observed · 2026-08-28

github.com/HKUDS/FastCode · homepage · Python observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 91
  • Release rhythm 40
  • Longevity 14

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 201
  • days_rel: 189
  • days_push: 58
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

2292 stars · 276 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FastCode is a token-efficient framework for repository-scale code understanding and reasoning, using structural scouting over a semantic map of the codebase to build high-value context in a single optimized step. It claims to be faster and cheaper than Cursor and Claude Code, and ships as an MCP server for tools like Cursor, Claude Code, and Windsurf.

Use cases

  • understand a large codebase quickly
  • answer questions about a repository with an LLM
  • trace cross-repo dependencies
  • reduce token costs when analyzing code with AI
  • integrate code reasoning into Cursor or Claude Code via MCP
  • debug complex codebases with AI assistance

When to choose

  • you need repository-scale code Q&A or reasoning with lower token cost
  • you work with very large or multi-repo codebases
  • you want an MCP server for code understanding in your AI IDE

When to avoid

  • you need a fully permissively licensed tool and license clarity matters (no license file is published)
  • you need a mature production tool with long-term support
  • your codebase is small enough that a plain LLM suffices

Facets

framework · maturity active

agent-framework llm-inference rag developer-tools mcp developer-tools large-language-models programming-languages python cli cross-platform code-understanding repository-analysis token-efficiency code-reasoning mcp-server code-navigation ai-agents

6 sources

Member repositories

RepositoryRoleHealth v2
HKUDS/FastCodemain58

For agents

markdown · JSON · MCP: product_card(name="HKUDS/FastCode")

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