This website uses cookies
Read our Privacy policy and Terms of use for more information.
How AI agents work, think, and act autonomously. Turing Post covers multi-agent systems, agentic memory, and the evolving AI software stack — for practitioners.
AI 101
+2

11 min read
Jul 1, 2026
Qwen-Agent explained: tool calling, planning, memory, and how to build AI agents with Alibaba's open-source Qwen models — from QwQ-32B to Qwen2.5-VL.


AI 101
+1

17 min read
Jun 13, 2026
Hermes Agent vs OpenClaw compared: memory architecture, self-improving skills, scheduling, and safety. Which local AI agent fits your workflow?


AI 101
+3

12 min read
May 6, 2026
How vector databases are evolving for AI agents: agentic RAG with Qdrant, memory layers with Weaviate Engram, and Pinecone Nexus knowledge engine explained.

AI 101
+2

13 min read
Apr 8, 2026
Gemma 4 runs locally via Ollama with zero API cost. Full architecture breakdown — attention mix, MoE, per-layer embeddings — and why OpenClaw users are switching from Claude.

AI 101
+1

14 min read
Feb 18, 2026
OpenClaw is an open-source personal AI agent with a self-hosted Gateway, autonomous heartbeat, and file-based memory. How it works — and 6 lightweight alternatives.


AI 101
+1

10 min read
May 21, 2025
AlphaEvolve is Google DeepMind's 2025 evolutionary coding agent for algorithm discovery. OpenAI Codex is a cloud AI software engineer. Both tools explained.

Turing Post is an AI newsletter for engineers, researchers, founders, and technical managers who want to understand how machine learning and AI actually work.
Built on more than two decades in tech and seven years focused on AI, we track the research that matters, the systems being built, and the ideas shaping the field, from LLMs and AI agents to JEPA, world models, retrieval, inference, evaluation, AI infrastructure, and agentic workflows.
Join 115,000+ professionals who rely on Turing Post for precise, grounded analysis of AI’s past, present, and future.