Local Agent Runtime

Operational

10:42:01

System initialization complete

Kernel

10:42:02

Agent mesh online

Network

Local-first AI mesh for complex workflows

Autonomous Agent Platform

A self-hosted agent orchestration platform that connects LLMs to your tools, files, and APIs.

Timeline

4 weeks

A local 'Mission Control' for AI agents that can read files, execute code, and manage cloud infrastructure autonomously.

What we built

Agent orchestration engine with task decomposition and retry logic

Sandboxed environment (Docker) for safe code execution

Vector memory stream for long-term context retention

Real-time observation dashboard (Trace/Log/Terminal)

Tool registry (File system, GitHub, Linear, Slack)

Value delivered

Automate complex multi-step workflows without human intervention

Keep sensitive data local by running agents on your own infrastructure

Debug agent thinking process with granular trace views

Extend capabilities easily with a plugin-based tool system

Tech Stack

Process Flow

Key Metrics

Integrations

Security

Outcomes

What this delivers in the real world.

Autonomy

Agents capable of multi-step reasoning

Security

Sandboxed execution + local data

Observability

Real-time thought process traces

Extensibility

Standardized tool interface

Demo

See Autonomous Agent Platform in action.

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Private search + chat over internal knowledge

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