Agentic System Evolution - The industry views agentic systems as a natural evolution of AI software, which itself is a natural evolution of traditional software [1] - Agentic systems can lead to dramatically simpler code and logic compared to previous generations of software, despite being more powerful and capable of more sophisticated tasks [2] Complexity Assessment - The industry suggests that evaluating agentic systems is not necessarily more complex than evaluating traditional software or single-shot LLM outputs [1] - The resulting agentic systems built by sophisticated customers are often simpler than their predecessors [2]

Core Functionality - Zep aims to build human-like memory for agents, addressing real-time knowledge updates and fast data retrieval challenges in agentic and RAG systems [1] - Zep organizes agent memories into episodes, extracts entities and relationships, and stores them in a knowledge graph [1] - The system features an Episode Subgraph for capturing raw, timestamped data, a Semantic Entity Subgraph for extracting and versioning entities and facts, and a Community Subgraph for grouping related entities [1][2] Performance Metrics - Zep delivers up to 1850% (18.5 times) higher accuracy with 90% lower latency compared to tools like MemGPT [2] Open Source Nature - Zep is fully open-source [2]

ChatGPT can now do work for you using its own computer. Introducing ChatGPT agent—a unified agentic system combining Operator’s action-taking remote browser, deep research’s web synthesis, and ChatGPT’s conversational strengths. ...