Code & Development · npm

agentkits

Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.

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Details

GitHub profile
@Magicray1217
Category
Code & Development
Platform
npm
GitHub
git+https://github.com/Magicray1217/agentkits.git
Framework
openai
Language
javascript
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@Magicray1217

Overview

Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.

Quick start

npm

npm install agentkits

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agentkits can do

agentllmragembeddingfunction-calling
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Function Calling — function-calling task automation.

Frequently asked questions

What is agentkits?
Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.
How do I install agentkits?
Use npm: `npm install agentkits`. Full setup details on the source page linked above.
Is agentkits open source?
agentkits is published on npm.
What are alternatives to agentkits?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for agentkits is sourced from npm.

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