Stop reading tutorials. Start shipping. A complete AI Agent starter kit with memory, tool calling, multi-agent orchestration, and monitoring. Production-ready in 30 minutes.
# Your first agent in 5 lines from zoo_agents import Agent, Memory, Tools agent = Agent( memory=Memory.longterm("postgres"), tools=[Tools.web_search, Tools.code_interpreter] ) response = agent.run("Research competitors and write a battle card")
Tutorials teach you chains. Products need agents. Here's what's missing.
🔗 LangChain tutorials stop at "Hello World" — real agents need memory, error handling, and monitoring
🧠 Memory is everyone's problem — nobody shows you how to do it right at scale
🏗️ From notebook to production is a 3-month journey most never finish
👀 No visibility into what your agents are doing until something breaks
6 core modules. 4 bonuses. Everything you need to ship production AI agents.
Production-ready scaffold with structured error handling, retry logic, input validation, and observable execution traces.
Coordinate multiple agents with task decomposition, workload balancing, conflict resolution, and result aggregation.
Trust-scored fact store with short-term, long-term, and shared agent memory. Vector + SQL hybrid approach.
Universal adapter for REST APIs, GraphQL, WebSocket, and MCP tools. Auto-discovery and schema validation included.
Policy-based access control, rate limiting, audit logging, and content filtering. SOC2-ready audit trail.
Real-time agent activity viewer with token usage, latency percentiles, cost tracking, and anomaly detection.
Deploy to AWS/GCP/Vercel in <30 min. 45-min video walkthrough. Architecture decision records. Private Discord access.
Works with what you already use.
Real agent applications, week one.
Autonomous web research with source verification
Context-aware customer support with escalation
Automated PR reviews with security scanning
Multi-source signal aggregation with risk filters
Researcher + Writer + Reviewer collaboration
BONUS TEMPLATENo tiers. No "pro" upsell. Get the entire kit.
Basic familiarity with either language is required. The code is heavily commented and the guide walks you through everything.
Yes — Ollama, LM Studio, and vLLM are all supported alongside OpenAI and Anthropic.
Absolutely. You get full commercial license. Build your product, ship it, monetize it.
GitHub Issues for bugs, Discord community for questions, and email support for anything else.
Join builders who went from "tutorial hell" to production AI agents in a weekend.
Get the Kit — $49