If your current agents fail as soon as an API changes or a PDF layout shifts, N6Agent is worth exploring. Have you tested N6Agent in production? Share your experiences or questions in the comments below.
| Layer | Name | Function | |-------|------|----------| | 1 | | Parses raw input (text, images, JSON) into structured intent vectors. | | 2 | Reasoning | Applies chain-of-thought (CoT) and tree-of-thought (ToT) to break the goal into sub-tasks. | | 3 | Planning | Generates a dynamic execution graph (not a fixed DAG). Edges can be rewired mid-task. | | 4 | Tool Selection | Queries a vector DB of available tools (APIs, code functions, web search) and selects the optimal set. | | 5 | Execution | Runs selected tools in parallel or serially with error handling and timeout management. | | 6 | Reflection | Evaluates outcomes against the original goal. If criteria aren’t met, loops back to Layer 2 with new context. | n6agent
agent = N6Agent( llm="gpt-4o", tools=tools, memory_type="long_term", max_reflections=3 ) If your current agents fail as soon as