Digitorn
Digitorn
Learning hub

Everything we know about building AI agents, in one place.

Six pillars, every article we've written, organised so you can follow a path instead of wandering. Start with fundamentals if you're new, jump straight to the runtime philosophy or cost economics if you already ship in production.

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Build your first agent in the Builder

Conversational interview, advanced visual canvas, runtime validation, one-click deploy. The fastest way into Digitorn.

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Ready-to-fork templates

All 10 templates
developer · 24 linesStarter coderA minimal coding agent. Single brain, no multi-agent dispatch.developer · 56 linesClaude Code cloneCoordinator on Sonnet, explorer on Haiku. The full multi-agent setup.research · 92 linesDeep research agentCoordinator + researcher + fact-checker + writer + editor. With citations.messaging · 28 linesSlack helperAn @mention-able helper agent that lives in a Slack thread.developer · 44 linesPull request reviewerWebhook-triggered code reviewer that posts a structured review per PR.ops · 32 linesWeekly digest reporterA cron-fired agent that pulls together a weekly summary and posts it.

Build by use case

The shapes of agent we get asked about most.
communicationSlack copilotAn @mention-able assistant that lives in a Slack thread, answers questions, and runs tools.developerAutomated code reviewerAn agent that reads a PR diff, surfaces risks, and posts a structured review.knowledgeResearch agent with citationsA multi-agent research bot that searches, verifies, and writes a cited synthesis.developerDocumentation generatorReads your source, writes back into docs/, opens a PR with the diff for review.communicationVoice assistantA spoken-language agent for desktop, with low-latency STT plus TTS plumbing built in.opsScheduled reporterAn agent that fires on a schedule, pulls together a digest, and posts it somewhere.developerPR triagerAn agent that labels new pull requests, assigns reviewers, and flags risky changes.knowledgeMeeting note-takerAn agent that ingests a transcript, extracts decisions, and posts a structured summary.opsEmail triagerAn agent that reads an inbox, classifies messages, drafts replies, and queues them for approval.creativeLive React app builderAn agent that writes React components into a workspace, hot-reloads the preview as you chat.

Pick your model provider

Frontier, fast, open, enterprise. Same YAML shape.

Providers with a green check ship a credential vault entry, you register the key once with digitorn credentials create and reference it from any agent. The others use inline config with env templates today, native catalog entries are on the roadmap.

frontierAnthropic Claude/integrations/anthropicfrontierOpenAI/integrations/openaifastDeepSeek/integrations/deepseekfrontierMistral/integrations/mistralopenOllama/integrations/ollamaopenvLLM/integrations/vllmfastGroq/integrations/groqenterpriseAzure OpenAI/integrations/azure-openaifrontierGoogle Gemini/integrations/google-geminiopenTogether AI/integrations/together-ai

Look up a term

All 60 terms
15 termsAgent conceptsWhat an agent is, what's inside it, how it decides.9 termsModels & inferenceLLMs, tokens, context, the math layer underneath.8 termsRAG & knowledgeRetrieval, embeddings, the patterns for grounding answers.10 termsRuntimeHooks, hot reload, triggers, the plumbing that makes agents shippable.7 termsCost & opsRouting, caps, compaction, audit logs.5 termsSecurityCredentials, scopes, encryption, the don't-leak-keys layer.6 termsEcosystemFrameworks, marketplaces, the wider field.

Coming from another framework?

5 guides

Concept-by-concept mapping from popular agent frameworks to Digitorn YAML. Side-by-side code, the gotchas, and where the source still wins.

Python frameworkFrom LangChainFrom chains and runnables to a single YAML file.Multi-agent orchestrationFrom CrewAIFrom crew, agents, and tasks to one flat YAML.Autonomous goal pursuerFrom Auto-GPTFrom a runaway loop to a controlled YAML agent.Coding assistantFrom AiderFrom a terminal coding assistant to a YAML coding agent.Hosted assistant APIFrom OpenAI Assistants APIFrom hosted threads and runs to a portable YAML agent.

Production patterns

All 8 patterns

Battle-tested recipes for the same problems every real agent app hits: retries, circuit breakers, fan-out, routing, human gates, cost caps, context compaction, audit trails.

reliabilityRetry with backoffSoak transient failures with exponential backoff before they reach the user.reliabilityCircuit breakerStop hammering a failing service and route to a graceful fallback.performanceFan out, joinSpawn N specialists in parallel, wait for all, fold the results.performanceSemantic routerPick the cheapest specialist that can answer, instead of one big model.safetyHuman in the loopPause for explicit approval before any irreversible action.costRate limit with fallbackCap the agent's external calls and degrade gracefully when the cap fires.performanceSummarise and feed backCompress past turns when the context window starts to bite.dataAudit everythingEvery tool call, every credential read, hash-chained for replay.
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Install Digitorn and ship your first agent in five minutes.

Open-source runtime, self-hosted by default, your LLM keys stay on your machine. The Hub has the same agents you read about in these articles, ready to install in one command.

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