An Agentic Router is a lightweight coordination layer that receives structured tasks, plans, or prompts and routes them to the appropriate **agent**, tool, or execution environment based on local policy or declared capabilities.
Unlike a traditional web router or API gateway, an Agentic Router works in a federated, agent-driven environment. It acts more like a **task switchboard** — inspecting incoming intent and dispatching it to available agents or systems that can fulfill it, whether locally or remotely.
This pattern is useful for coordinating activity between Livecode apps, CLI interpreters, AI models, and web-based agents — all running on the same machine or across a homelab.
# Purpose - Dynamically select the right agent or tool to handle a given plan - Enforce user-defined trust and security policies - Integrate heterogeneous systems (CLI, browser, wiki, interpreter) - Allow multiple agents to coexist and specialize - Enable fallback strategies when primary tools fail - Provide explainability and traceability for how tasks are routed
# How It Works - The router listens for structured task input — usually in JSON, YAML, or page-JSON format - It examines metadata like `agent`, `intent`, `tool`, `trust_level`, or `plan_type` - It matches this against a registry of agents or services with declared capabilities - Based on routing logic, it invokes the appropriate tool, either by API, command-line, or interprocess messaging - It may record the routing decision as a signed journal entry or status block
# Example Use Cases
- A plan block in a wiki page requests: `generate a vibelet from this dataset` The router selects the local Claude-based JS agent to fulfill the request
- A ghost page includes a `simulate` intent The router sends the plan to a Python-based physics engine
- A Livecode app posts an event to the router The router dispatches it to a signed shell script that updates a wiki page
- The router receives a `translate` instruction It checks whether local models can do it, and if not, escalates to a remote agent over HTTP
# Key Features - Local-first — can operate entirely on a laptop or home server - Pluggable Agent — agents can register themselves and declare their capabilities - Signed Dispatch — each routing decision can be signed and recorded for audit - Language Agnostic — works with tools written in Livecode, Python, Ruby, JS, or Bash - Zero-trust optional — only routes to agents whose identity is signed and locally accepted - Human-readable Logs — every step can be presented back to the user for review
# Integration with Federated Wiki The Agentic Router can be deeply integrated into the Federated Wiki workflow: - Ghost pages are intercepted by the router and matched to an agent - Agent output is returned as a new ghost page or signed fork - The router can consume wiki-based `agent-plans` or `vibelet-tasks` in structured format - Signed routing decisions can be stored as journal entries or linked trust records
This model turns the wiki into both a **front-end interface** and a **repository of plans** — while the Agentic Router becomes the **executor and coordinator** of the system.
# Security Considerations - The router enforces **trust boundaries** — it should never route unverified plans to high-risk tools - Signatures from agents and plans allow the router to reject or quarantine suspect content - Trust policies can include allowlists, key expiration, sandbox modes, and more - Logs should be available for post-hoc review and explainability
# Why It Matters An Agentic Router allows federated, decentralized systems to behave coherently without centralized orchestration. It lets different parts of your personal or collaborative setup operate as if part of a shared intelligent workspace — while retaining full transparency, traceability, and control.
# See
- Vibe Code Playground
- Federated Agent and Federated Plans
- n8n.io 