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

codefuse-ai/codefuse-chatbot

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc. observed · 2026-08-28

github.com/codefuse-ai/codefuse-chatbot · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

27/100

  • Activity 0
  • Release rhythm 35
  • Longevity 76

Flags: no_releases no_license

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: 1071
  • days_rel: n/a
  • days_push: 793
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1290 stars · 148 forks observed · 2026-08-28

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

CodeFuse-ChatBot is an open-source AI assistant for the software development lifecycle, combining a multi-agent scheduling framework with DevOps toolkits, code and documentation repo RAG, knowledge graphs, and sandboxed execution. It supports offline private deployment with open-source LLMs and embeddings, as well as OpenAI API access.

Use cases

  • build a devops ai assistant over private docs
  • chat with my code repository
  • run a multi-agent llm workflow for development tasks
  • self-host a rag chatbot with local llms
  • analyze a codebase and generate code with llm
  • build a devops knowledge base with knowledge graph retrieval

When to choose

  • you want a privately deployed devops assistant combining code repo RAG, doc RAG, and multi-agent orchestration
  • you need offline/on-premise LLM usage with open-source models
  • you want an AIOps-oriented assistant with tool learning and sandbox execution

When to avoid

  • you need a lightweight general-purpose chatbot without devops focus
  • you want a production-proven product with a permissive license (license is non-standard)
  • you need a simple single-agent Q&A setup without multi-agent complexity

Facets

application · maturity active

chatbot rag agent-framework llm-inference web-scraping search-engine nlp large-language-models chatbots developer-tools python self-hosted multi-agent devops-assistant code-repo-rag knowledge-graph aiops tool-learning private-deployment langchain ai-agents retrieval-augmented-generation devops natural-language-processing docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
codefuse-ai/codefuse-chatbotmain27

For agents

markdown · JSON · MCP: product_card(name="codefuse-ai/codefuse-chatbot")

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