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Build controllable AI agents with flexible tools, providers, and execution flows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "zypher-agent" yet — see the docs or source repo.
Using zypher-agent, design an example AI agent framework that supports two tools (web search and calculator), can switch between OpenAI and Anthropic models, and shows the task execution flow and error-handling strategy.
An AI agent design example including tool registration, model switching, execution flow, and error-handling guidance.
Based on zypher-agent, plan a multi-step agent that first parses user requirements, then uses a search tool to gather information, and finally produces a structured summary, explaining how to control the execution order of each step.
A multi-step agent plan clearly describing stage breakdown, tool usage, and flow-control logic.
Using zypher-agent, provide an example showing how to abstract different model provider interfaces within the same agent and compare them in response speed, cost, and controllability.
An example of unified multi-provider integration plus a comparison of key differences.
Give agents memory, scheduling, webhooks, DNS, email, and utility functions.
Securely inject credentials so AI agents access sites and APIs without secrets exposure.
Control iOS and Android devices from CLI for automation and agent testing.
Provide core microservices for AI agents, integration, execution, and automation orchestration.
Build production-grade Go agent systems with workflows, tools, memory, and observability.
Build, run, inspect, and debug AI agents with better visibility.