# AlibabaResearch/DAMO-ConvAI

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Repository: https://github.com/AlibabaResearch/DAMO-ConvAI
Canonical: https://ross.abutalabs.com/products/damo-convai
Language: Python
License: MIT
License Family: permissive
Topics: conversational-ai, deep-learning, natural-language-processing, dialog
Last push: 2026-06-10T11:18:20+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 1510, "days_push": 84, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1580, forks 249 (observed 2026-08-28T04:05:06.908543+00:00)

## What it is
The official codebase for Alibaba DAMO Academy's Conversational AI research, containing implementations of models from their published papers on dialog systems and text-to-SQL. It includes models like SPACE, S2SQL, and R2SQL that have topped benchmarks such as Spider, SparC, CoSQL, and DSTC.

## Use cases
- build a dialog state tracking model
- convert natural language questions to SQL queries
- reproduce research results on the Spider text-to-SQL benchmark
- experiment with conversational AI models from academic papers
- train a multi-turn dialog understanding model
- compare semantic parsing models for text-to-SQL

## When to choose
- you need state-of-the-art text-to-SQL or dialog state tracking model implementations
- you want to reproduce or build on Alibaba DAMO's published conversational AI research
- you are benchmarking semantic parsing models on Spider, SparC, or CoSQL

## When to avoid
- you need a production-ready chatbot framework with deployment tooling
- you want a plug-and-play conversational API rather than research code
- you need a maintained library with stable APIs and long-term support guarantees

## Facets
- artifact type: library
- maturity: active
- function: nlp, machine-learning, deep-learning, chatbot
- domain: artificial-intelligence, chatbots, deep-learning
- platform: python
- tags: conversational-ai, dialog-state-tracking, text-to-sql, research-code, alibaba, papers, natural-language-processing

## Member repositories
- AlibabaResearch/DAMO-ConvAI (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:06.908543+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:56:35.530962+00:00, confidence not recorded.
  - readme: https://github.com/AlibabaResearch/DAMO-ConvAI (fetched 2026-08-28T04:05:06.908543+00:00, sha 797f26a237de)
- Data as of 2026-08-30T08:39:29.467469+00:00.