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The Tap Registry Grew Beyond Code: 108 Agents, 27 Domains, and Workflows That Verify Their Own Work
This week the default Octomind registry expanded from a developer toolbox into a full ecosystem: new life-domain agents from parenting to tax, four new self-verifying workflows, a project knowledge system, and container-proof dependency installs — all one command away, no installation.

Your First Five Minutes with Octomind: One Install, One Login, Zero API Keys
A transcript-backed walkthrough of getting started with Octomind and the Hub: one curl install, one browser login, and an agent reviewing and fixing real code — every command run today in a clean Ubuntu container, costs included.

Octomind Cloud Is Live: Real Machines for Your Agent, Every Model Through One Key
Your coding agent dies with your laptop lid, your API keys live in five dashboards, and your AI bill is a surprise. We built Octomind Cloud to fix all three: persistent machines from $0.05/hr — with real Docker inside — a hub of 21 models behind one key at published per-token prices, and one wallet with caps you can see.

Give Your AI Agent Less Power: Roles, Sandbox, and Guardrails That Hold
Prompts are not a security boundary. How to constrain an AI coding agent in Octomind with scoped tool permissions, filesystem sandboxing, and project guardrails that block dangerous commands before they run.

Octomind 0.38.0: One Command to Sign In, and Two Features We Deleted
Octomind 0.38.0 adds `octomind login` — an RFC 8628 device flow that signs your terminal in to an Octomind account without ever typing a password there — plus a `/usage` command that shows account spend and quotas in the CLI, WebSocket, and ACP lanes. It also deletes two supervisor features we shipped three weeks ago, because the benchmark said they cost more than they saved: 70% solved at $3.28/solved, both metrics better after the deletion.

Stop Asking One AI Agent to Do Everything. A Practical Guide to Sub-Agents
One agent struggles with big tasks — it loses context and produces half-finished work. How to split work across specialized sub-agents in Octomind: static agents, tap roles, dynamic agents, and parallel async delegation.

Octomind 0.37.1: Ground Truth Over the Agent's Story
Octomind 0.37.1 hardens the Supervisor's verify-gate: it now judges a "done" claim against the actual working-tree diff and the actual command output — not the agent's narrative — and the check-after-mutation gate stops classifying tools by name: it fingerprints the working tree itself, so a change made through any tool only clears after a real check on an unchanged tree. Plus two free deterministic pre-gates (plan-complete, file:line references), recited prohibitions, compression spend in /info, and a new 15-instance benchmark baseline.

Octomind 0.36.0: Your Project Speaks AGENTS.md Now
Octomind 0.36.0 adopts the AGENTS.md standard for project instructions and hardens the WebSocket API with request correlation, acknowledgments, and a fix for the stuck-on-working hang.

Dropped Into a 200K-Line Codebase? Get Oriented in an Afternoon with Octocode
How to use the Octocode MCP server — semantic search, signatures, and a GraphRAG knowledge graph — to understand an unfamiliar codebase fast. A practical onboarding workflow for the project nobody has time to explain.

Octomind 0.35.0: Your Agent Reads Too Much
Octomind 0.35.0 ships the Condenser — a task-aware filter that decides what the agent actually needs to see from every oversized tool output. Same model, success up 87%→93%, cost per solved task down 34%.

Your AI Coding Bill Is Mostly Waste. The Config That Cuts It.
A practical guide to controlling AI agent costs in Octomind — automatic capability loading, cache-aware compression, a cheap decision model, and spending limits. These settings quietly cut a token bill without changing your model.

Add Semantic Code Search to Claude Code, Cursor, and Windsurf in 5 Minutes
A step-by-step guide to wiring Octocode into your AI assistant as an MCP server — install, index, and connect Claude Code, Cursor, or Windsurf so your agent finds code by meaning instead of grepping blindly.