Loki Agent — WunderCorp, Inc.

Loki Agent by WunderCorp, Inc.

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Why Loki

Loki remembers project context between sessions.

It can keep details that matter later and save recurring procedures as skills. When you return to the same project or task, you do not have to rebuild that context from scratch.

Project context carries over

Loki can retain project details and preferences between sessions, so the next session can start with context you have already provided.

Desktop, CLI, TUI, and messaging share the same agent core

The desktop app, CLI, TUI, and supported messaging integrations share the same agent core. You can move between them without setting up a separate agent for each surface.

Loki works across files, commands, browsers, and connected tools

Loki can inspect files, run commands, use a browser, call connected tools, and hand independent parts of a job to subagents.

Memory and reusable skills

Workflow oriented.

Loki can keep project details for later and turn recurring procedures into skills. When the same kind of work comes back, the agent can use the context and procedure you already established.

Session Ship the weekly release 12 actions completed

MEMORY Release preferences retained branch rules · review order · deploy target

SKILL weekly-release Reusable procedure ready for next time

Loki keeps this context for the next session.

Desktop, terminal, and messaging

Use the same Loki agent from desktop, terminal, or messaging.

Keep project work in one desktop workspace.

The desktop app puts chat beside files, terminals, generated artifacts, subagents, git review, memory, and voice.

Run Loki next to your code and scripts.

Use Loki from the terminal while you work with the repository, scripts, servers, and data already on that machine.

Send Loki a task from a supported chat app.

Supported messaging integrations can send tasks to Loki while the agent runs on another machine or remote environment.

Tool use and delegation

Loki can carry a task across files, commands, browser work, and subagents.

For a larger job, Loki can read project instructions, inspect files, run commands, use the browser, split independent work across subagents, and gather the results.

01 Understand Read project + intent
02 Operate Use tools + environments
03 Delegate Parallelize independent work
04 Deliver Return finished output

Scheduled work

Cron tasks.

Loki can run recurring jobs and send the results through a configured channel. Use schedules for morning briefs, PR queues, health checks, reports, maintenance, or any task you want Loki to run at a set time.

ROUTINESUTC

Morning briefing research → summarize → Telegram

daily

PR review queue inspect → review → report

weekdays

System health check probe → diagnose → alert

daily

Runtime, models, and extensions

Choose where Loki runs and which models it uses.

Loki can run locally, over SSH, in containers, or on supported remote compute. You can connect supported model providers and add skills, plugins, or MCP servers for the systems your work depends on.

Run locally or remotely

Run Loki on your machine, in Docker, over SSH, or through a supported remote execution backend.

Choose a model for each task

Connect supported model providers and select one based on the task, cost, or deployment requirements.

Connect the systems Loki needs to use

Add skills, plugins, and MCP servers to give Loki access to procedures and external systems used by your team.

Resume saved work

Saved sessions, project context, and checkpoints let you inspect long-running work and continue it later.

Try Loki Agent

Get started or clone the repo today. Become a Loki 𖤍

curl -fsSL https://loki.computer/install.sh | bash