Tutorials¶
Hands-on guides that walk through building real applications with OpenJarvis. Each tutorial includes a standalone script you can run immediately, a TOML recipe for configuration, and a detailed walkthrough of the concepts involved.
Before you begin
All tutorials assume OpenJarvis is installed and an inference engine is running. If you have not completed setup yet, start with the Quick Start guide.
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Deep Research Assistant
Multi-source research with a memory-augmented orchestrator agent. Searches the web, stores findings across turns, cross-references sources, and produces a cited report.
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Scheduled Personal Ops
Autonomous agents on cron schedules for recurring personal tasks — morning news digests, weekly code reviews, and gym schedule checks.
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Messaging Hub
Smart inbox assistant that triages messages by priority, drafts context-aware replies, and produces end-of-day summaries across Slack, WhatsApp, and other channels.
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Code Companion
Code review, debugging, and test generation using a ReAct agent that reads source files, runs commands, and reasons step by step before producing structured output.
What You Will Learn¶
Each tutorial demonstrates a different combination of OpenJarvis primitives working together:
| Tutorial | Agent | Key Primitives |
|---|---|---|
| Deep Research | orchestrator |
Engine, Agents, Tools (web + memory), Recipes |
| Scheduled Ops | orchestrator, native_react |
Agents, Tools, Scheduler |
| Messaging Hub | orchestrator |
Agents, Tools (memory), Channels |
| Code Companion | native_react |
Agents, Tools (git + file + shell) |
Estimated Time¶
Each tutorial takes approximately 15-30 minutes to complete end-to-end, including setup and running the scripts. The TOML configuration sections and customization tips are optional reading for when you adapt the pattern to your own use case.