Arun Arumugam

Themesrising

Agents become long-running, parallel and stateful

Agents are moving from single chats to long jobs: parallel agents in ChatGPT Pro, Gemini agents playing Minecraft for 27 hours, durable pi agents and dedicated memory models. Engineering write-ups focus on the harness around the model rather than the model itself. The hard problems are now state, memory and orchestration.

Feed

  1. OpenAINewsAgentsChatGPT Pro can now run multiple agents on one task in parallelGPT-6 Pro splits a task across agents you can monitor and review individually, a sign that parallel multi-agent workflows are moving from dev tools into the mainstream chat product.
  2. Tencent HyNewsAgentsTencent open-sources Hy Memory 2.0, a model just for agent memoryA 30B (3B active) model, framework and cross-tool sync for deciding what agents should remember. Memory is becoming its own layer of the agent stack rather than a prompt trick.
  3. EarendilBlogAgentsPi Durable on CloudflareA worked build of long-running pi agents: one session per Durable Object with SQLite storage, hibernation when idle, alarm wakeups and a search subagent.

  1. Google DeepMindNewsAgentsFour Gemini 4 Argon agents beat Minecraft from scratch in 27 hoursWorking only through code and text, the agents wrote 2,783 programs and split up jobs over chat, a vivid long-horizon multi-agent result.

  1. LangChainBlogAgentsImproving Deep Agents with harness engineeringStarting from 52.8% with GPT-5.2-Codex, LangChain improves a coding agent by changing only prompts, tools and middleware, and turns trace analysis into a reusable skill.

  1. QwenReleaseAgentsQwen releases QwenGyre for elastic RL on very long agent tasksAn elastic scheduler reallocates GPUs during training, targeting the cost problem of RL on agents that run for very long horizons.

  1. Armin RonacherBlogAgentsWhat is CodemodeArmin Ronacher on when having an agent write code beats tool calls, and why bash alone may not be enough. Sharp thinking on agent tool design.
  2. OpenAI DevelopersReleaseAgentsOpenAI opens the Decisions API to all developersLets apps pick a model, tool or action in near real time from one call, moving routing logic out of agent code and into the platform.