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Agent Memory Guard
Agent Memory Guard is an OWASP Incubator Project that prevents AI agents from being weaponized through their own memory. It implements MITRE ATLAS mitigation AML.M0031 (Memory Hardening) to defend against context poisoning attacks (AML.T0080).
Introducing Flex: Let the Model Write the Code
DSPy’s new Flex module allows optimizers like GEPA to improve programs by rewriting both their instructions and underlying Python code. This lets the optimizer route easy cases to fast deterministic code while reserving model calls for ambiguity, significantly reducing cost and latency while improving accuracy.
What are some Python automations you built for your life?
Python Hub Weekly Digest for 2026-08-16
Building an Advanced Agentic Harness
From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.
💖 Most Popular in the Last Two Weeks
Celery: from first task to advanced recipes
The article introduces Celery, a distributed task queue for Python, then walks through practical patterns for running, routing, batching, timing out, and retrying asynchronous tasks. It also covers advanced recipes such as preventing parallel execution with Redis locks and integrating Celery tasks with Python’s async/await workflows.
dottxt-ai / outlines
Structured Outputs
Self-contained highly-portable Python distributions
i-have-adhd
A skill for your coding agent to stop it from burying the answer. ADHD-friendly output.
How to Conquer Concurrency in Python
A practical guide to Python concurrency that builds from OS fundamentals, processes, threads, race conditions, and the GIL to choosing between asyncio, threading, and multiprocessing. It also explains concurrency vs. parallelism, CPU vs. GPU tradeoffs, and how profiling and strong mental models help avoid common performance mistakes.
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