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@tekmemo/openai
Advanced tools
@tekmemo/openaiOpenAI embeddings. OpenAI embedding adapter for TekMemo recall pipelines.
pnpm add @tekmemo/openai
import { createOpenAIEmbedder } from "@tekmemo/openai";
const embedder = createOpenAIEmbedder({ apiKey: process.env.OPENAI_API_KEY! });
This package owns its package-level contract only. It does not own TekMemo Cloud billing, dashboards, tenancy, hosted database storage, or provider secrets unless explicitly stated by its package name.
For hosted memory, use @tekmemo/cloud-client. For local file-backed memory, use tekmemo with @tekmemo/fs. For MCP tools, use @tekmemo/mcp-server.
pnpm --filter @tekmemo/openai typecheck
pnpm --filter @tekmemo/openai test:run
pnpm --filter @tekmemo/openai build
pnpm --filter @tekmemo/openai lint:package
@tekmemo/openaidist/**/*.mjs + dist/**/*.d.mtsdist/**/*.cjs + dist/**/*.d.ctsdist and README.md@tekmemo/cloud-client unless this package is @tekmemo/cloud-client itself.Before publishing this package, run:
pnpm --filter @tekmemo/openai release:check
The package-level check builds dist/, runs TypeScript and tests, runs publint, and performs npm pack --dry-run. Publish from CI with Changesets and npm trusted publishing/provenance after the root release preflight passes.
MIT.
FAQs
Production-ready OpenAI embedding adapter for TekMemo.
The npm package @tekmemo/openai receives a total of 7 weekly downloads. As such, @tekmemo/openai popularity was classified as not popular.
We found that @tekmemo/openai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.

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