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

gmpetrov/databerry

The no-code platform for building custom LLM Agents observed · 2026-08-28

github.com/gmpetrov/databerry · homepage observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 89

Flags: no_releases no_license

How is this computed?

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

  • gap_med: n/a
  • age_days: 1255
  • days_rel: n/a
  • days_push: 807
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2966 stars · 418 forks observed · 2026-08-28

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

Databerry (now branded Askli/Chaindesk) is a no-code platform for building custom LLM agents and ChatGPT-style chatbots trained on your own data from sources like Notion, Google Drive, PDFs, and websites. It provides datastores with semantic search (Qdrant), agent customization, and omnichannel deployment via embeddable widgets, WhatsApp, Slack, Telegram, WordPress, Crisp, and Zapier.

Use cases

  • build a chatgpt chatbot trained on my company docs
  • add an ai support chatbot widget to my website without code
  • chat with pdf and notion documents using gpt-4
  • deploy an ai agent on whatsapp or slack for customer support
  • create a rag chatbot over my knowledge base with auto-synced data
  • automate customer support and lead generation with an llm agent

When to choose

  • you want a no-code/low-code way to build a custom data-trained chatbot quickly
  • you need omnichannel deployment (website widget, WhatsApp, Slack, Telegram, Crisp) with human handoff
  • you want built-in connectors for Notion, Google Drive, Zendesk, YouTube, and website crawling with auto-sync
  • you prefer a hosted SaaS with a free tier and team seats for support automation

When to avoid

  • you need a self-hosted, code-first agent framework with full control over prompts and pipelines
  • you require strong license guarantees - the repo has no license file, limiting reuse
  • you want deep customization of the RAG stack rather than a managed platform
  • you need active development - the last release was mid-2024 and the project appears to be in maintenance mode

Facets

application · maturity maintenance

rag chatbot agent-framework chat-interface webhook search-engine artificial-intelligence large-language-models chatbots web-development self-hosted self-hosted no-code llm-agents chatgpt openai qdrant semantic-search customer-support embeddable-widget knowledge-base data-connectors whatsapp slack notion google-drive zapier wordpress crisp zendesk gpt-4 auto-sync retrieval-augmented-generation web-server nodejs typescript

10 sources

Member repositories

RepositoryRoleHealth v2
gmpetrov/databerrymain30

For agents

markdown · JSON · MCP: product_card(name="gmpetrov/databerry")

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