AI Agents
Generate autonomous AI agent
applications from a prompt
Describe the task your agent should handle and get a complete, deployable AI agent — with tool use, memory, API integrations, and multi-step reasoning built in.
What's included
Every AI agent build is a complete, runnable application — not a code snippet.
Tool use and function calling
Agents are generated with tool definitions — web search, API calls, code execution, file I/O — wired into the LLM loop.
Memory and state
Short-term conversation context and long-term memory via vector stores or database persistence, depending on your use case.
Multi-step reasoning
Agents handle tasks that require planning, intermediate steps, and conditional logic — not just single-turn responses.
API integrations
Agents can call external APIs — Slack, email, databases, CRMs — as part of their tool set.
Full source code
Own the agent. Clean TypeScript or Python with LLM provider calls, tool definitions, and orchestration logic.
Human-in-the-loop hooks
Approval checkpoints, escalation triggers, and override mechanisms are included when specified.
What you can build
Autonomous agents for research, support, operations, and data work — any task that benefits from an AI that can take multiple steps and use external tools.
- Research and information gathering agents
- Customer support and ticket routing agents
- Data processing and ETL automation
- Code review and analysis agents
- Scheduling and calendar management bots
- Lead qualification and CRM update agents
FAQ
What LLM providers does WandGx support for agents?
Generated agents can use OpenAI, Anthropic Claude, or other compatible LLM APIs. Specify your provider preference in the prompt.
Can the agent call external APIs?
Yes. Describe the APIs your agent should use and WandGx will generate the tool definitions, API client code, and integration wiring.
Is the generated agent autonomous or does it require human approval?
Both modes are supported. Include "human-in-the-loop" requirements in your prompt and WandGx will add approval checkpoints where appropriate.
What frameworks are used for agent orchestration?
WandGx generates agents using the Anthropic Claude API (with tool use), or other provider-native function calling. Orchestration is custom TypeScript — no third-party agent framework required unless specified.
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