Back to Projects
SYSTEM SPECIFICATION

KendaliAI

Autonomous AI Agent Orchestration Platform & Control Center with real-time telemetry and multi-agent workflows.

KendaliAI is an autonomous AI agent orchestration platform and command center designed to monitor, supervise, and coordinate intelligent multi-agent workflows with live telemetry.

View Repository: GitHub (Haslab-dev/KendaliAI)

KendaliAI Control Center

Key Capabilities

  • Command & Control Center: Centralized dashboard displaying active background agents, live server telemetry (Storage, Memory, CPU), active schedules, and security policy guard statuses.
  • Multi-Agent Chat Interface: Interactive conversational UI with diverse agent personas (Coder, Planner, Reviewer, Assistant, Research, Knowledge) and inline reasoning / thought-process tracking.
  • Workflow & Background Tasks Execution: Robust task runner capable of delegating web searches, code synthesis, git worktree checkouts, and custom automated routines.
  • Vector RAG Ingestion: Built-in document and codebase chunking pipelines for semantic retrieval and context augmentation.
  • Local Gateway Health: Real-time WebSocket event bus, Telegram bot integrations, and sandboxed execution roots.

KendaliAI Agent Chat & Tool Execution

Tech Stack

  • Frontend: React, TypeScript, Tailwind CSS
  • Backend / Runtime: Node.js / Bun / Python
  • Orchestration: WebSocket Event Bus, Multi-Agent Workers
  • Vector Search / Knowledge: Vector RAG Pipelines