AngajatAI Technical Architecture
Architecture frame
AngajatAI is best understood as an autonomous agent ecosystem deployed for a user or company, not as an assistant that only runs inside the user’s local machine or a provider’s coding interface.
Core components
| Component | Source-of-truth detail | Strategic meaning | |---|---|---| | Own VPS ecosystem | It lives on its own ecosystem in a VPS. | The agent can operate independently from the user’s current machine. | | Own identity and email | It has its own identity and email. | It can participate in workflows as a persistent digital actor. | | Document intake | Dropbox and Google Drive can be shared with it. | It can ingest business context and documentation. | | Communication channels | Telegram, Slack, WhatsApp, and calls. | It can be embedded where the company already communicates. | | Dashboard | Graph, skills, cronjobs, and main integrations. | The client can inspect and manage the agent system. | | Integrations | Multiple connections and custom integrations. | It can adapt to company-specific workflows and local platforms. | | Custom apps/interfaces | It can generate and host its own interfaces/apps through its server. | It can move from agent to operational software layer. | | Memory graph | Sustainable retrieval of business information. | Context compounds over time and improves decisions/actions. |
Difference from Claude Code / Codex / Claude Co-work
Claude Code, Codex, and Claude Co-work are strong tools, but AngajatAI is differentiated by owning a persistent operational environment. It can run in parallel, handle large memory/context, operate through integrations, run looped tasks, and become specialized in its work through accumulated business context.