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Description
Archestra serves as an open-source, self-hosted AI platform designed for the deployment and management of agents within an organization. It features agentic chat functionalities tailored for non-developers, along with applications, skills, collaborative projects, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security guardrails, and comprehensive observability, all integrated into a single platform. Users can authenticate through SSO, ensuring that every tool interaction occurs under the individual’s personal identity rather than through a common service account. Projects are organized to consolidate chats, files, scheduled tasks, and instructions, while agents operate within isolated containers, triggered by schedules, emails, or webhooks. MCP servers are hosted within the organization's Kubernetes environment, navigating through security-reviewed promotion processes that enforce distinct credentials and network policies. Furthermore, knowledge bases can interface with Confluence, Jira, drives, and internal documents while maintaining source-system ACLs, ensuring that users can access only the content for which they possess permissions. This comprehensive suite of features makes Archestra an invaluable resource for organizations looking to streamline their AI deployments and governance.
Description
Graft AI is an enterprise platform that helps AI agents work inside legacy software by turning existing interfaces into reliable tools. The platform is designed for companies that rely on systems without modern APIs, including ERPs, mainframes, desktop applications, web portals, virtual desktops, internal tools, and file-based workflows. Graft observes real workflows and maps screens, inputs, transitions, rules, effects, and application states. It then compiles those workflows into stable typed contracts, adapters, policy boundaries, and conformance tests that agents can call through MCP-compatible tools. The platform verifies real source-system effects using independent evidence so the adapter cannot simply certify itself. Graft also enforces approvals, roles, permissions, boundaries, and least-privilege access so write actions stay governed. Every agent action is logged with context, making workflows auditable, traceable, and easier to review. The platform runs in the customer’s environment and states that customer data does not train its models. By combining interface intelligence, governed execution, verification, stable contracts, and auditability, Graft AI gives enterprises a practical bridge between existing software and modern AI agents.
API Access
Has API
API Access
Has API
Integrations
Model Context Protocol (MCP)
Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
OpenAI
Integrations
Model Context Protocol (MCP)
Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
OpenAI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
Archestra
Country
United States
Website
archestra.ai/
Vendor Details
Company Name
Graft AI
Website
graft.axcelner.com
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)