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

Storia-AI/sage

Chat with any codebase in under two minutes | Fully local or via third-party APIs observed · 2026-08-28

github.com/Storia-AI/sage · homepage · Python · Apache-2.0 (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 52

Flags: archived

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: n/a
  • age_days: 740
  • days_rel: 660
  • days_push: 660
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1268 stars · 116 forks observed · 2026-08-28

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

Sage is an open-source tool that lets developers chat with any codebase to quickly understand how it works, similar to a self-hosted GitHub Copilot for code comprehension. It supports fully local pipelines via Ollama and Marqo or third-party LLM APIs like OpenAI and Anthropic, with configurable retrieval strategies including lightweight LLM-based retrieval and traditional RAG indexing.

Use cases

  • chat with a codebase to understand how it works
  • onboard onto an unfamiliar open-source repository quickly
  • ask questions about how to integrate a library into my project
  • run a private local code Q&A assistant without sending code to the cloud
  • index a repository and query it with RAG
  • compare embedding and retrieval strategies for code search

When to choose

  • you need to understand a large or unfamiliar codebase fast
  • privacy matters and you want a fully local LLM pipeline with Ollama
  • you want tunable retrieval strategies and documented benchmarks
  • you prefer an open-source alternative to hosted code assistants

When to avoid

  • you need inline code completion or IDE autocomplete rather than codebase Q&A
  • you want a zero-setup hosted product without running your own infrastructure
  • your project requires long-term enterprise support or a mature release cadence

Facets

application · maturity active

rag llm-inference search-engine chatbot agent-framework developer-tools large-language-models artificial-intelligence python self-hosted cross-platform codebase-chat github-copilot-alternative ollama vector-store code-understanding langchain openai anthropic retrieval-augmented-generation docker

1 source

Member repositories

RepositoryRoleHealth v2
Storia-AI/sagemain10

For agents

markdown · JSON · MCP: product_card(name="Storia-AI/sage")

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