AI orchestration, done right.

Infinite context. Infinite memory. Cross-model handoff. Decisions log. Self-improving skill base. Cost-controlled by model routing. This is what "AI-native software company" actually looks like — and you have it running today, not on a roadmap.

What's in the stack

Obsidian as Memory Substrate

Every AI agent — Claude Code, GPT, OpenCode, local models, custom scripts — reads and writes to the same Obsidian vault. Decisions log records every "don't do X again" and "always do Y." Handoff protocol lets you resume any project on any agent without losing context. When Claude Code's context window fills up, memory persists in Obsidian and continues seamlessly.

Skills · MCP Registry · Knowledge Base

Every agent has access to the same skill library (business ops, finance, geocoding APIs, monitoring, deployment). Every agent has access to the same MCP servers. No per-agent duplication of setup or knowledge — it's one hive intelligence with many entry points.

Cost-Aware Model Routing

Heavy analytical work runs on the local Sócrates node (free after hardware amortization). Quick tasks run on cheap remote models. Sensitive customer data never leaves the private VPN. You save tens of thousands of dollars per year versus a naive "just use GPT-4 for everything" architecture.

Log → Issue → Fix Pipeline

Argos collects all system logs. AI agents scan the logs, tag severity, auto-open issues in the private Git tracker with fix instructions written for the coding agent. The coding agent picks up the issue, applies the fix, runs 200-300 tests, deploys. Human oversight optional, not required.

Why this is rare

Most companies calling themselves "AI-first" have a Slack bot and a Zapier flow. You have a genuine autonomous engineering loop with observability, self-healing, memory persistence, and cost controls. This is 12-24 months ahead of what most Series A startups are shipping.

Content angle

Behind-the-scenes reels

Screen recording your terminal executing a full log-to-fix cycle. Voice-over explaining what just happened. Ends with "this ran while I made coffee." Massive appeal to developers, CTOs, and technical founders.

Educational carousels

"Why your AI agents keep forgetting what you told them" → answer: because they don't have Obsidian as substrate. Positions you as the senior voice in the room while everyone else fumbles.

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