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features
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support

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Description

LangMem is a versatile and lightweight Python SDK developed by LangChain that empowers AI agents by providing them with the ability to maintain long-term memory. This enables these agents to capture, store, modify, and access significant information from previous interactions, allowing them to enhance their intelligence and personalization over time. The SDK features three distinct types of memory and includes tools for immediate memory management as well as background processes for efficient updates outside of active user sessions. With its storage-agnostic core API, LangMem can integrate effortlessly with various backends, and it boasts native support for LangGraph’s long-term memory store, facilitating type-safe memory consolidation through Pydantic-defined schemas. Developers can easily implement memory functionalities into their agents using straightforward primitives, which allows for smooth memory creation, retrieval, and prompt optimization during conversational interactions. This flexibility and ease of use make LangMem a valuable tool for enhancing the capability of AI-driven applications.

Description

Vulnify serves as a runtime authorization platform tailored for developers and security teams creating AI agents that interact with tools or APIs. Prior to executing a tool, the agent transmits action metadata—which encompasses details about the agent, the action being taken, the resource involved, the destination, and the count of records—and subsequently receives a decision categorized as ALLOW, REVIEW, or BLOCK, accompanied by a risk score ranging from 0 to 100 along with justifications. Teams have the flexibility to define and test YAML policies via a command-line interface, while also incorporating checks through Node.js or Python SDKs, a REST API, or various adapters compatible with agent frameworks. Additionally, the monitor mode enables the logging of decisions without hindering actions, and in the event that Vulnify becomes unavailable, a fail-closed protocol will prevent actions unless a fail-open setting is established. An audit log that utilizes hash chaining maintains a record of decisions made, with paid subscriptions offering the inclusion of human review processes. Typical applications of Vulnify include overseeing data exports, managing external communications, processing payments, and other actions initiated by agents. It is important to note that Vulnify focuses on evaluating action metadata instead of the actual contents of the records affected, ensuring a streamlined approach to authorization. Overall, this unique system helps enhance security and compliance for AI-driven operations.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

LangGraph Yes 
CrewAI No 
GitHub No 
Jira No 
LangChain No 
Model Context Protocol (MCP) No 
OpenAI Agents SDK No 
PydanticAI Yes 
Python Yes 
Slack No 
Vercel AI SDK No 

Integrations

LangGraph Yes 
CrewAI Yes 
GitHub Yes 
Jira Yes 
LangChain Yes 
Model Context Protocol (MCP) Yes 
OpenAI Agents SDK Yes 
PydanticAI No 
Python No 
Slack Yes 
Vercel AI SDK Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free plan available
Developer: $0/month for 2 agents, 10,000 evaluated events/month, and 7-day event history; no review queue. Team: $99/month for 10 agents and 250,000 events/month. Business: $499/month for 50 agents and 2,000,000 events/month. Prices are in USD, excluding taxes. No annual plan or overage charge. Enterprise pricing and limits are by contract.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

LangChain

Founded

2022

Country

United States

Website

langchain-ai.github.io/langmem/

Vendor Details

Company Name

Vulnify

Country

Brazil

Website

www.vulnify.io

Product Features

Product Features

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Alternatives

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