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databerry

gmpetrov/databerry

The no-code platform for building custom LLM Agents

GraphCanon updated 1w · GitHub synced 1w

3.0k stars420 forksLast push 2y

Decision brief

Suitable for users looking to develop custom LLM agents without coding expertise.

Good fit when

  • When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities.
  • When your project requires rapid prototyping in creating LLM agents where traditional coding would slow down the process.

Avoid when

  • If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities.
  • In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform.

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (788d since push)
As of 1w
Provenance
Not a fork · Personal account
As of 1w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/gmpetrov/databerry

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A no-code platform designed to facilitate the creation of custom Language Model (LLM) agents without requiring programming knowledge.

Capability facts

No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).

Categories

Tags

README

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For agents

This page has a .md twin and JSON over the API.

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