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

aws-samples/bedrock-chat

AWS-native chatbot using Bedrock observed · 2026-08-28

github.com/aws-samples/bedrock-chat · TypeScript · MIT-0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

90/100

  • Activity 96
  • Release rhythm 89
  • Longevity 79
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: 6.5
  • age_days: 1107
  • days_rel: 79
  • days_push: 24
  • n_releases_24m: 57

Full methodology

Adoption not part of the score

1322 stars · 534 forks observed · 2026-08-28

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

Bedrock Chat (BrChat) is a multilingual generative AI chat platform built on Amazon Bedrock, deployable via AWS CDK. It supports chat, custom bots with knowledge (RAG), a bot store for sharing bots, agent-based task automation, and publishing bots as standalone APIs.

Use cases

  • deploy a chatgpt-like assistant on my aws account
  • build a chatbot with my own documents using rag
  • share custom bots with my team via a bot store
  • publish a bedrock-powered bot as a rest api
  • automate tasks with llm agents on aws
  • chat with claude models through a web ui
  • self-host a multilingual ai chat platform

When to choose

  • you are on aws and want to use Amazon Bedrock models like Claude
  • you need RAG chatbots backed by Bedrock Knowledge Bases
  • you want an infrastructure-as-code (CDK) deployment with Lambda, WebSockets, and streaming responses
  • you need bot sharing, permissions, and API publishing out of the box

When to avoid

  • you want to run models outside AWS or with non-Bedrock providers
  • you need a lightweight single-container app rather than a full serverless AWS stack
  • you have existing V2 bots and cannot handle the V3 migration
  • you want a simple open-source chat UI without cloud infrastructure

Facets

application · maturity active

chatbot rag agent-framework llm-inference chat-interface web-framework self-hosted artificial-intelligence large-language-models chatbots cloud-computing self-hosted cloud python self-hosted amazon-bedrock aws-cdk fastapi react lambda generative-ai bot-store knowledge-base streaming multilingual retrieval-augmented-generation ai-agents docker web-server

1 source

Member repositories

RepositoryRoleHealth v2
aws-samples/bedrock-chatmain90

For agents

markdown · JSON · MCP: product_card(name="aws-samples/bedrock-chat")

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