mem0ai/mem0

feat(ts-sdk): add AWS Bedrock LLM provider

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#5,765 opened on Jun 23, 2026

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Description

Summary

The Python SDK supports AWS Bedrock as an LLM provider, but the TypeScript OSS SDK (mem0ai/oss) does not. Add it to bring the TS SDK to parity.
Python reference mem0/llms/aws_bedrock.py
Registered in (Python) mem0/utils/factory.py (LLMFactory)
Target file (TypeScript) mem0-ts/src/oss/src/llms/aws_bedrock.ts
Suggested implementation Use @aws-sdk/client-bedrock-runtime (BedrockRuntimeClient + InvokeModelCommand / ConverseCommand).

Requirements

  • Implement AWSBedrockLLM in mem0-ts/src/oss/src/llms/aws_bedrock.ts, extending LLM (mem0-ts/src/oss/src/llms/base.ts) and mirroring the Python provider's behavior (generateResponse / generateChat).
  • Register the "aws_bedrock" provider in mem0-ts/src/oss/src/utils/factory.ts (LLMFactory).
  • Add config typing in mem0-ts/src/oss/src/types/.
  • Add a unit test under mem0-ts/src/oss/src/tests/.
  • Add @aws-sdk/client-bedrock-runtime to mem0-ts/package.json (optional/peer dependency, lazy-imported like other providers).
  • Update docs under docs/ if this provider is user-facing.

Reference pattern

Mirror an existing TS provider: llms/deepseek.ts (OpenAI-compatible) or llms/openai.ts.

Notes

Message formatting differs per model family (Anthropic, Titan, Llama, etc.) — mirror the per-model handling in mem0/llms/aws_bedrock.py. Auth via the standard AWS credential chain.

Part of the TypeScript ↔ Python SDK provider-parity effort. One provider per issue (atomic).

Contributor guide

Research direction
Implement the AWS Bedrock LLM provider by creating a new file based on the Python reference and existing TS provider patterns. Use the @aws sdk/client bedrock runtime to interact with the service, handling different model families' message formats. Register the provider in the factory and add tests.
Tech stack
typescriptnodejsaws
Domain
backendapi
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
TypeScriptNode.js
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70