ArX
View on GitHubArX is Arvolve's backend framework for creative production and AI development. It links multi-modal genAI, with LLMs, memory, tools, agents, and an expanding hierarchy of pipelines under one API. It is a working infrastructure, not a standalone demo.
System Map
Structure
I - Integrations
Connects language models, media services, web research, and Google tools into one controllable layer.
II - TextGen
Holds working context, retrieval, prompt assembly, and tool-ready reasoning in a persistent core.
III - Agents
Runs specialized agents that can divide work, coordinate tasks, and maintain continuity across longer efforts.
IV - Pipelines
Turns repeatable work into structured flows for research, media generation, code, and operational support.
V - Branches
Brings the same system into usable surfaces such as the API, desktop tools, Telegram, and the website.
VI - Utilities
Handles file operations, formatting, output management, sync, and the small infrastructure that keeps the system usable.
Capabilities
Research & Context
- · Persistent memory keeps long-running work coherent across sessions
- · Retrieval helps bring the right files, references, and prior decisions back into view
- · Research workflows can combine model reasoning with web and document context
- · Journaling and state tracking support continuity rather than one-off prompting
Creative Production
- · Supports structured writing, planning, and concept development
- · Connects image, video, speech, music, and 3D generation into broader workflows
- · Turns promising ideas into more build-ready outputs through staged refinement
- · Helps bridge research, creative direction, and execution across modalities
Agents & Automation
- · Specialized agents can split, review, and coordinate work across a shared task flow
- · Tool routing keeps external actions explicit and intentional
- · Heartbeat-style controls support scheduled, ambient, or manually triggered operation
- · Checklists, journals, and state surfaces make ongoing work easier to track
Interfaces & Delivery
- · The same core system can be reached through the API, desktop tools, Telegram, and web surfaces
- · Outputs can be packaged into usable interfaces rather than staying trapped in prompts
- · Operational workflows can support communication, documentation, and internal production
- · ArX is built as working infrastructure inside Arvolve, not as an isolated demo
Updates
- · Public system visibility - The website now surfaces ArX through a live system map and pipeline view so visitors can understand the structure at a glance.
- · Broader working surfaces - ArX currently spans API, desktop, Telegram, and website layers, keeping the same core system reachable through different contexts.
- · Stronger continuity - Memory, retrieval, journaling, and state tracking are treated as operating layers rather than optional add-ons.
- · Wider production reach - Applied workflows now extend across research, code, media generation, and operational support.