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What is StateFabric?

StateFabric serves as a streamlined infrastructure layer tailored for AI agents that need more context than merely the chat history provides. When these agents engage with various tools and run lengthy sessions without resets, merely depending on past messages falls short; it’s crucial to monitor factors such as event occurrences, state modifications, tool applications, and the context pertinent for future model enhancements. To fulfill these requirements, StateFabric keeps an append-only event log during agent activities, allowing for the extraction of pertinent context from this information. Presently, it boasts an array of functionalities, such as reliable session management, event storage, timelines for user/model/tool events, the capacity to reconstruct session states from logged events, and a simplified model-facing context. It also features an intuitive dashboard that enables users to analyze sessions, scrutinize raw payloads, assess compaction artifacts, and observe usage trends. Moreover, StateFabric allows for integration with Google ADK via the package @statefabric/adk and supports direct implementation in Node/REST settings using @statefabric/client, enhancing its adaptability for tailored runtime environments. This flexibility not only boosts the efficiency of AI agents but also enhances their effectiveness in navigating intricate operational landscapes. Consequently, StateFabric stands out as a vital tool for improving the operational capacity of AI in diverse applications.

What is Mistral Medium 3.5?

Mistral Medium 3.5 emerges as a leading 128B dense model that seamlessly integrates instruction-following, logical reasoning, and coding functionalities into a cohesive system. It boasts an impressive 256K context window, which allows for customizable reasoning effort and accommodates multimodal input, demonstrating strong agentic capabilities particularly advantageous for extended tasks that require reliable multi-tool usage and organized outcomes. This groundbreaking model powers remote agents within Mistral Vibe, facilitating the execution of coding projects in the cloud, effectively tackling prolonged assignments while managing multiple sessions concurrently. Users can conveniently activate agents via the Vibe CLI or Le Chat, with the assurance that local command-line interface sessions can seamlessly transition to the cloud without any loss of history, task status, or approvals. As work progresses, users have the ability to track file modifications, tool interactions, progress updates, and inquiries. Each coding project is conducted within its own sandbox, skillfully handling module refactors, generating tests, updating dependencies, performing CI investigations, and debugging issues, which ultimately leads to the creation of a GitHub pull request for review. The introduction of this model signifies a major leap forward in the management and execution of intricate coding tasks within collaborative settings, enhancing the efficiency and effectiveness of software development processes. Furthermore, its design emphasizes user autonomy and adaptability, empowering developers with tools that cater to their specific project needs.

Media

No images available

Media

Integrations Supported

Integrations Supported

GitHub
Jira
Linear
Microsoft Teams
Sentry
Slack

API Availability

API Availability

Pricing Information

£10/month
Free Version

Pricing Information

$14.99 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

J Gregory Technology Ltd.

Date Founded

2020

Company Location

United Kingdom

Company Website

statefabric.dev

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/vibe-remote-agents-mistral-medium-3-5/

Categories and Features

Categories and Features

AI Models

Not specified

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