Agent Workspace
ActiveGoal Tracker
Roadmap & Goal Planner
Once you submit a task, the agent will decompose your objective into step-by-step verifiable subgoals here.
Execution Trace
Observability Timeline
Real-time diagnostic logs, tool calls, and execution phase details will appear here as the agent runs.
Server & Agent Configuration
Tune llama-server launch parameters, MCP integrations, and agent tools.
AI Agent Customization
Fine-tune the assistant's persona, responses, and behavior.llama-server Launch Settings
Applied on next server startAloe Agentic Settings
Applied immediately on next requestCore Engine Limits
Continuation Settings
Goal Injection Settings
Token Budgets & Firewalls
Cloud OpenAI Compatible Endpoint
Bypass local llama-server and connect to cloud APIs (OpenAI, OpenRouter, DeepSeek, etc.)MCP Servers
Restart agent session after changes| Tool Name | Category | Description | Protection Policy |
|---|---|---|---|
| Loading registered tools registry... | |||
Active Agent Tools Catalog
All tools currently integrated in the Aloe Session including custom MCP extensions.
Populating active tools catalog...
Performance & Console Streams
Real-time metrics of the local AI execution and raw process outputs.
Cognitive & Agentic Analytics
Resource Telemetry
Cognitive Telemetry
Cognitive Telemetry Reports
Aggregate and export historical AI usage statistics and performance audits.
Runtime Console Stream
Aloe
Version 1.7.2Aloe is a state-of-the-art, local-first agentic cognitive runtime designed for ultimate developer velocity and privacy. Orchestrating advanced generative models, multimodal sensors, and multi-server Model Context Protocol (MCP) integrations, Aloe is built to systematically audit, patch, and execute complex coding workflows.