AgentFlow Docs

Build multi-agent AI systems that actually ship. Agentflow is the production-grade framework that takes you from prototype to production without rewriting your stack.

Most agent frameworks stop at a demo. Agentflow ships the whole thing — orchestration, memory, API, auth, SDK, and UI — so you spend your time on agents, not plumbing.

• 🧠 Memory that remembers — a 3-layer system: working state → Redis hot cache → Postgres durable → vector recall (Qdrant/Mem0). Your agents have short-term speed and long-term knowledge.
• 🔌 Any model, no lock-in — OpenAI, Google GenAI, Anthropic, or your own. Swap providers with a config change, not a rewrite.
• ⚡ Live agents, real-time — token-by-token streaming, live state inspection, and parallel tool execution by default.
• 🕸️ Graph-based orchestration — model complex, cyclic agent workflows with StateGraph. LangGraph power, far less ceremony.
• 🛠️ Production from day one — auto-generated FastAPI backend, JWT/RBAC auth, rate limiting, dual-layer checkpointing, and Docker/Kubernetes builds.
• 🤝 MCP native — plug into the Model Context Protocol ecosystem out of the box.
• 📦 Batteries included — backend, REST API + CLI, typed TypeScript SDK, and a visual React playground. One framework, end to end.

From pip install to a streaming multi-agent API in minutes.

This repo holds the documentation for that ecosystem.

📖 Read the docs: https://agentflow.10xscale.ai

Built with Docusaurus 3. Deployed to agentflow.10xscale.ai via GitHub Pages.

🧩 The Agentflow Ecosystem

Package	What it does	Install
Core framework (10xscale-agentflow)	Graph-based agent orchestration, 3-layer memory, parallel tools, MCP	pip install 10xscale-agentflow
API + CLI (10xscale-agentflow-cli)	FastAPI server auto-generated from your graph, auth, RBAC, rate limiting	pip install 10xscale-agentflow-cli
Client SDK (@10xscale/agentflow-client)	Typed TypeScript/React client with streaming hooks	npm install @10xscale/agentflow-client
Playground	Visual React UI to test agents against a local server	agentflow play
Docs (this repo)	Tutorials, how-to guides, reference, and concepts	https://agentflow.10xscale.ai

Local development

npm install
npm run start

Dev server: http://localhost:3000.

Build

npm run build
npm run serve

Static output in build/.

Windows + Git Bash note: if npm run build mangles BASE_URL=/ (you'll see broken links resolving to C:/Program Files/Git/...), run from PowerShell with $env:MSYS_NO_PATHCONV='1'.

SEO scripts

npm run seo:audit       # lint per-page front matter (title, description, keywords)
npm run seo:fix         # auto-fill missing/short SEO front matter (idempotent)
npm run seo:og-image    # convert SVG social card to PNG (requires `sharp`)

Deploy

.github/workflows/deploy.yml builds and deploys to GitHub Pages on push to main.

Required GitHub repo secrets (optional but recommended):

• GOOGLE_ANALYTICS_ID — e.g. G-XXXXXXXXXX
• MICROSOFT_CLARITY_ID — for heatmaps / session replay

The site is configured for the custom domain agentflow.10xscale.ai (CNAME in static/).

Repo layout

docs/
  get-started/         # golden path, beginner-friendly
  concepts/            # mental models
  beginner/            # tutorial path
  tutorials/           # from-examples deep dives
  how-to/              # task-oriented guides
  reference/           # API reference (Python, REST, TS client)
  compare/             # framework comparisons (LangGraph, CrewAI, AutoGen, etc.)
  use-cases/           # production reference architectures
  integrations/        # FastAPI / Next.js / Postgres
  providers/           # LLM provider configuration
  troubleshooting/
  courses/             # GenAI beginner + advanced curriculum

blog/                  # 10 cornerstone posts, RSS at /blog/rss.xml
src/
  components/          # CompareTable, FAQ, RelatedDocs, BlogStructuredData
  pages/               # Homepage
  theme/               # MDXComponents, Root swizzles
static/                # CNAME, robots.txt, social card, favicon
scripts/               # SEO automation (audit, fix, og-image)
marketing/             # Launch kit (HN/Reddit/dev.to), measurement playbook
SEO_PLAN.md            # Full SEO plan (Parts A–F)

Contributing

PRs welcome. Before opening:

1. npm run typecheck
2. npm run build (verify no broken links)
3. npm run seo:audit (verify SEO front-matter)

For new doc pages, follow the front-matter pattern enforced by scripts/audit-frontmatter.mjs (title 25–60 chars, description 100–160 chars, keywords array).

Related repos

• 10xHub/Agentflow — the core Python framework (10xscale-agentflow)
• 10xscale-agentflow-cli — FastAPI server + CLI
• @10xscale/agentflow-client — TypeScript/React client SDK
• Playground — visual React UI for testing agents (agentflow play)
• Docs: https://agentflow.10xscale.ai

License

MIT.