memweave: Zero-Infra AI Agent Memory with Markdown and SQLite — No Vector Database Required

It’s harder than it might seem to create a stand-alone Python app. It’s also harder than you might think to reliably back up SQLite databases, but Python has the tools for it. And while it’s not easy to install Python on an air-gapped machine, it absolutely can be done. Top picks for Python readers on InfoWorld Why it’s so hard to create stand-alone Python apps Python’s dynamism is one of its most powerful features. It’s also why making stand-alone apps from Python programs is such a bear. How to back up SQLite databases the right way (not by copying them!) SQLite databases are single files, so backing them up just means copying them, right? Wrong. Make backups the proper way by using SQLite’s own backup mechanisms. Python’s new frozendict type, demonstrated A long-desired and -debated core addition to the language: a “frozen” or immutable dictionary, is coming in Python 3.15. See where it’ll be most useful in our live demo. How to set up Python on an air-gapped system Stuck working wi

In this tutorial, we explore how to build a fully functional background task processing system using Huey directly, without relying on Redis. We configure a SQLite-backed Huey instance, start a real consumer in the notebook, and implement advanced task patterns, including retries, priorities, scheduling, pipelines, locking, and monitoring via signals. As we move step by […] The post A Coding Guide to Build a Production-Grade Background Task Processing System Using Huey with SQLite, Scheduling, Retries, Pipelines, and Concurrency Control appeared first on MarkTechPost.

Chinese AI company Z.ai has launched GLM-5.1, an open-source coding model it says is built for agentic software engineering. The release comes as AI vendors move beyond autocomplete-style coding tools toward systems that can handle software tasks over longer periods with less human input. Z.ai said GLM-5.1 can sustain performance over hundreds of iterations, an ability it argues sets it apart from models that lose effectiveness in longer sessions. As one example, the company said GLM-5.1 improved a vector database optimization task over more than 600 iterations and 6,000 tool calls, reaching 21,500 queries per second, about six times the best result achieved in a single 50-turn session. In a research note, Z.ai said GLM-5.1 outperformed its predecessor, GLM-5, on several software engineering benchmarks and showed particular strength in repo generation, terminal-based problem solving, and repeated code optimization. The company said the model scored 58.4 on SWE-Bench Pro, compared with

Chinese AI company Z.ai has launched GLM-5.1, an open-source coding model it says is built for agentic software engineering. The release comes as AI vendors move beyond autocomplete-style coding tools toward systems that can handle software tasks over longer periods with less human input. Z.ai said GLM-5.1 can sustain performance over hundreds of iterations, an ability it argues sets it apart from models that lose effectiveness in longer sessions. As one example, the company said GLM-5.1 improved a vector database optimization task over more than 600 iterations and 6,000 tool calls, reaching 21,500 queries per second, about six times the best result achieved in a single 50-turn session. In a research note, Z.ai said GLM-5.1 outperformed its predecessor, GLM-5, on several software engineering benchmarks and showed particular strength in repo generation, terminal-based problem solving, and repeated code optimization. The company said the model scored 58.4 on SWE-Bench Pro, compared with