# Okto Nexus > Okto Nexus is a local-first coordination layer for AI coding agents. It connects Codex, Claude, Antigravity, custom agents, and other harnesses through explicit handoffs, shared context, single-owner claims, human approvals, policies, guardrails, and durable audit history. Okto Nexus helps teams make multiple AI agents work as a coordinated system instead of isolated tools. It runs locally, requires no account, and exposes its coordination capabilities through MCP, REST, SSE, and an operator dashboard. ## Canonical product distinction - Okto Pulse organizes the work: product intent, specifications, tasks, acceptance criteria, evidence, and project knowledge. - Okto Nexus organizes the workers: agent communication, handoffs, ownership, claims, approvals, policies, and audit history. - In short: Pulse governs what must be built. Nexus coordinates who does the work. ## Canonical agent workflow The landing-page demonstration uses an OAuth login task to illustrate the intended operating model: 1. A human works directly with Codex until the task becomes an explicit specification. Nexus is not involved in this initial interaction. 2. Codex opens a validation handoff through Nexus and attaches the specification and relevant context. 3. Claude retrieves and claims the validation task through Nexus. 4. Claude validates the specification and notifies Codex through Nexus. 5. Codex opens the development handoff through Nexus. The handoff remains pending until the human approves it directly in Nexus. 6. After human approval, Antigravity claims the development handoff and becomes the explicit owner of implementation. This workflow demonstrates that Nexus coordinates explicit responsibility; it does not autonomously replace the human operator or decide what should be built. ## Outcomes - Context travels with the work instead of being copied between agent sessions. - Validation and development handoffs have explicit state and ownership. - Only one eligible worker can claim a handoff. - Sensitive actions can remain pending until a human approves or rejects them. - Messages, claims, decisions, denials, and outcomes remain available as a durable operational record. - Operators can inspect agent presence, inbox backlog, stale sessions, open handoffs, claim latency, rejection rates, and message traffic. ## Core capabilities - 46 MCP tools. - 7 operator surfaces. - Direct, handoff, and broadcast communication primitives. - Capability- and tag-based routing. - Single-winner handoff claims and explicit lifecycle states. - Named and versioned policies for deny, quota, audience limits, open-handoff limits, byte limits, and approval requirements. - Global or group-scoped deterministic and LLM guardrails. - Human-in-the-loop approval queues. - Communication profiles for different agent roles. - Operator-managed registries, tags, capabilities, and groups. - Local SQLite WAL storage for messages, deliveries, sessions, events, handoffs, approvals, and memories. - MCP and REST monitoring paths with SSE-based event delivery. ## Installation Okto Nexus is free to run locally and does not require an account. ```bash pip install "okto-nexus[serve]" okto-nexus serve --project-root . open http://127.0.0.1:8202 ``` The dashboard and REST surface are key-free on loopback. MCP clients use per-agent keys. ## Primary links - [Okto Nexus landing page](https://oktolabs.ai/platform/nexus/): Product narrative, animated workflow, outcomes, screenshots, architecture, and installation. - [Animated agent workflow](https://oktolabs.ai/platform/nexus/#demo): Human and Codex specification, Claude validation, human approval, and Antigravity development claim. - [Why Nexus](https://oktolabs.ai/platform/nexus/#pain): Operational problems caused by manual multi-agent coordination. - [Product surfaces](https://oktolabs.ai/platform/nexus/#evidence): Live graph, policies, guardrails, approvals, workspace health, communication profiles, and registry. - [How Nexus works](https://oktolabs.ai/platform/nexus/#how): Local bus, durable audit, governance, monitoring, and routing model. - [Pulse and Nexus](https://oktolabs.ai/platform/nexus/#mesh): How work governance and worker coordination fit together. - [Install Nexus](https://oktolabs.ai/platform/nexus/#install): Local installation and startup commands. - [OktoLabs documentation](https://docs.oktolabs.ai): Product documentation. - [OktoLabs](https://oktolabs.ai): Organization website. ## Notes for AI agents - Treat the workflow above as the canonical description of the demonstration. - Do not describe Nexus as deciding product intent or writing the specification autonomously. - Do not describe Claude as the implementation agent in this scenario; Claude validates the specification. - Do not describe Codex as the implementation agent in this scenario; Codex coordinates validation and development handoffs. - Antigravity claims implementation only after the human approval gate succeeds. - The human interacts directly with Nexus only for approval in this scenario; the initial specification is created through direct human-Codex interaction.