Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Bevel serves as a vendor-neutral, Git-integrated control plane tailored for enterprise AI agents, allowing organizations to define their agents, context, skills, tools, permissions, and identities as owned files within their infrastructure, which can then be accessed by any agent runtime through MCP. The context is organized as typed knowledge nodes, each with documented provenance detailing its source, the last modification, and verification timestamps, and this information is compiled into a navigable graph that can be updated and utilized for creating dashboards. Skills are articulated as straightforward Markdown procedures, enabling process owners to easily read, review changes, and transfer them across different runtimes. Additionally, tool manifests outline the capabilities available, while sensitive information is stored securely in a vault, governed by access rules that dictate which agents can read certain files or invoke specific endpoints. Each agent is assigned a unique identity and credentials, ensuring that all actions can be traced back to their source. This comprehensive framework not only enhances security and organization but also promotes transparency and accountability in AI operations.
Description
Memory AGI serves as a dynamic memory layer for AI agents, designed to provide them with authentic muscle memory. By integrating a portion of company data, it constructs a comprehensive knowledge and runtime memory framework that continually updates to reflect the organization's context, ensuring agents remain well-informed. The effectiveness of any AI hinges on the quality of the context provided; in its absence, agents are hindered and perform at a basic, intern-like level, often struggling to understand the company's operations. Memory AGI enhances traditional processes by transforming them into knowledgeable agents capable of reliable execution, thereby increasing accountability and transparency in their outputs. This innovative system is underpinned by three tiers of muscle memory. The initial layer, Dynamic Ingestion, efficiently captures and organizes the organization's distinct knowledge from various sources, including voice memos, internal documents, and existing data tools. The Runtime Memory Layer then offers agents access to a real-time, de-duplicated context database that serves as a shared knowledge base for employees, agents, and automation alike, enabling them to complete tasks with the proficiency of top-performing staff members. Ultimately, Memory AGI not only supports agents in their responsibilities but also fosters a culture of continuous learning and improvement within the organization.
API Access
Has API
No
API Access
Has API
No
Integrations
ChatGPT
Yes
Claude Code
Yes
Cursor
Yes
Git
Yes
Markdown
Yes
Model Context Protocol (MCP)
Yes
OpenCode
Yes
Snowflake
No
Integrations
ChatGPT
No
Claude Code
No
Cursor
No
Git
No
Markdown
No
Model Context Protocol (MCP)
No
OpenCode
No
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Bevel
Founded
2024
Country
Germany
Website
www.bevel.software/
Vendor Details
Company Name
Memory AGI
Country
United States
Website
memory-agi.com