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Description

The Agent Client Protocol (ACP) serves to unify the communication between code editors, integrated development environments (IDEs), and coding agents, establishing agent-editor interoperability as a standard rather than necessitating unique integrations for every conceivable pairing. It establishes a common interface for interaction between AI agents and client applications, featuring a flexible, extensible, and platform-independent architecture suitable for both local and remote use cases. By tackling issues related to integration costs, limited compatibility, and developer dependency, ACP allows agents adhering to the protocol to function seamlessly with any compatible editor, while editors that embrace ACP can tap into a wider network of ACP-compatible agents. Much like the Language Server Protocol facilitated standardized language server integration, ACP separates agents from editors, enabling both to evolve independently, thereby empowering developers to select the most effective tools for their specific workflows. This innovation fosters a collaborative environment where tools can be easily integrated, enhancing overall productivity and efficiency for developers.

Description

Weaviate is an open-source vector database built for the AI era, giving teams one platform for vector search, retrieval-augmented generation, and agent memory. Store data objects together with embeddings from your preferred machine learning models and scale effortlessly to billions of objects. Import your own vectors or rely on Weaviate's built-in vectorization, then search across vector, keyword, and hybrid methods to get highly relevant results, even when filters are applied. By connecting to today's leading large language models, Weaviate helps you build grounded search and question-answering over your own data. The platform reaches well beyond storage: its Query Agent translates plain-language questions into accurate queries with citations, Engram delivers managed long-term memory for AI agents, and Weaviate Embeddings removes the work of running your own embedding pipeline. Available as self-hosted open source or fully managed Weaviate Cloud across AWS, GCP, and Azure, backed by SOC 2 Type II, native multi-tenancy, replication, and role-based access control. From semantic search to recommendation to fully agentic applications, Weaviate is the foundation to ship AI products faster.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Model Context Protocol (MCP)
Airbyte
Amazon Bedrock
Azure Marketplace
Comet
Contextual AI
Dynamiq
Firecrawl
Grok
HTML
Jina AI
Laguna M.1
Laguna S 2.1
Laguna XS.2
LangChain
LlamaIndex
Microsoft Azure
Python
Voyage AI
n8n

Integrations

Model Context Protocol (MCP)
Airbyte
Amazon Bedrock
Azure Marketplace
Comet
Contextual AI
Dynamiq
Firecrawl
Grok
HTML
Jina AI
Laguna M.1
Laguna S 2.1
Laguna XS.2
LangChain
LlamaIndex
Microsoft Azure
Python
Voyage AI
n8n

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Agent Client Protocol (ACP)

Country

United States

Website

agentclientprotocol.com/get-started/introduction

Vendor Details

Company Name

Weaviate

Founded

2019

Country

The Netherlands

Website

weaviate.io

Product Features

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Alternatives

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Embeddinghub

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