agentic flow

Abstract

Easily switch between alternative low-cost AI models in Claude Code/Agent SDK. For those comfortable using Claude agents and commands, it lets you take what you've created and deploy fully hosted agents for real business purposes. Use Claude Code to get the agent working, then deploy it in your favorite cloud.

The Problem

Teams that already use Claude Code or the Claude Agent SDK need a low‑friction way to replace the default Claude model with cheaper alternatives and to ship those agents as fully‑hosted services. Without a ready‑made orchestration layer, developers have to hand‑craft routing, persistence, and deployment scripts for each new model, which adds latency, cost‑overruns, and operational risk.

What This Does

agentic-flow supplies a TypeScript library and CLI that wrap Claude agents in a model‑selection router and expose a set‑of‑hooks for self‑learning routing. The core implementation lives in the published npm package (see the package.json implied by the README badge). Supporting metadata – agent definitions, command specs, and sample workflows – are stored as Markdown/YAML under the hidden .claude/ folder (e.g., .claude/agents/core/coder.md, .claude/commands/automation/auto-agent.md). The CLI entry point is the agentic-flow binary installed via npm, which reads those definitions at runtime to populate the AgentDB‑backed registry.

Key files: README.md – documents the public API (AgenticFlow class) and CLI commands (init, hooks route, workers dispatch). .claude/agents/v3/.yaml – concrete agent templates (e.g., typescript-specialist.yaml). .claude/commands//.md – the command catalogue that the CLI parses to expose sub‑commands.

Together they let you bootstrap intelligence, route tasks to the optimal agent, and run background workers without writing custom model‑selection code.

How To Use It

Install the published package (the repo contains a package.json reference). npm i -g agentic-flow # or npx without global install Initialize a new project – this creates a minimal .agentic-flow/ config and copies the hidden .claude/ definitions. npx agentic-flow init Pre‑train the self‑learning hooks on your codebase (the CLI expects a hooks pretrain command). npx agentic-flow hooks pretrain Run Claude Code (external) and let the hooks intercept tasks, or invoke the library directly: import { AgenticFlow } from 'agentic-flow';

const flow = new AgenticFlow(); await flow.initialize();

const { agent, confidence } = await flow.route('Fix the login bug'); console.log(Best agent: ${agent} (${confidence}% confidence)); Optional: start the MCP server for Claude Code integration. npx agentic-flow mcp start

If any of the above files (e.g., src/index.ts) are missing from the repository, the npm package supplies them; the repo itself only contains the documentation and definition assets.

Real‑World Use

A SaaS product that offers “AI‑assisted code reviews” can embed agentic-flow to automatically select a low‑cost LLM for routine linting while routing complex refactoring requests to Claude 2. The flow would be:

// server.ts import express from 'express'; import { AgenticFlow } from 'agentic-flow';

const app = express(); const flow = new AgenticFlow();

app.post('/review', async (req, res) => { const { code } = req.body; const result = await flow.route(review code: ${code}); res.json(result); });

app.listen(3000);

The service benefits from the built‑in self‑learning hooks that improve routing confidence over time without manual re‑configuration.

Code Health & Issues

Medium – Missing CI/CD – No .github/workflows or other pipeline files; automated testing not gated. Medium – No LICENSE file – README badge claims MIT, but the repository lacks a LICENSE; legal reuse risk. Low – Documentation‑only repo – The visible tree contains only Markdown/YAML; source TypeScript files are absent, making local inspection difficult. Medium – Hidden .claude/ directory – Prefixed with a dot, some tooling may ignore it, potentially breaking builds that expect a public agents/ folder. Low – No explicit test suite execution script – 14 test files exist, but no npm test command is defined in the visible metadata.

Overall, the package appears functional when installed from npm, but the source repository does not expose the implementation needed for in‑house auditing or contribution.

The Bottom Line

agentic-flow offers a ready‑made routing layer and a rich set of Claude‑agent templates that can accelerate the deployment of cost‑optimized AI agents. It works best when consumed as the published npm package; the current repo provides only the supporting documentation, lacking visible source code, CI, and a license file. Teams comfortable pulling the binary and that can tolerate the missing local build artifacts will find it useful; otherwise, a more transparent codebase is advisable.