How-Tos & Practical Guides

Most agents are amnesiac by default. Each session starts fresh, with no memory of what worked, what failed, or what preferences the user already expressed. It’s one of the most consistent sources of friction in production agentic systems — and LangChain’s Jake Broekhuizen published a detailed practical guide on June 24, 2026, showing how to close that loop. The pattern centers on three LangSmith components working in sequence: Observability (capture traces), Engine (analyze them), and Context Hub (store durable memory). The result is an agent that genuinely learns from experience rather than asking users to repeat themselves every session. ...

OpenClaw 2026.6.11 is the most substantial stable release this platform has shipped in months. Landing on June 24, 2026, it consolidates 305 merged pull requests from the v2026.6.10 history and delivers a cluster of features that meaningfully expand what operators can do with channels, remote workflows, and mobile management. Here’s what’s new and why it matters. Slack Relay Mode: Separating Ingress from the Gateway The most architecturally interesting addition is Slack relay mode, activated with mode: relay in your channel configuration. In standard Slack integration, the OpenClaw gateway receives and responds to messages directly. Relay mode changes this: it separates the ingress (message receiving) from the gateway itself, creating a clean handoff model for managed or multi-tenant setups. ...

Pydantic AI has been one of the more quietly serious agent frameworks in the Python ecosystem — rigorous type safety, predictable behavior, and a clear design philosophy that doesn’t chase every trend. On June 23, 2026, the team shipped v2.0.0 stable to PyPI, and it represents the clearest statement yet of where they think the agent layer should live. The headline change is the capability primitive. But to understand why it matters, it helps to understand what it replaces. ...

Z.ai just dropped something remarkable: a 744-billion-parameter open-weights language model under the MIT License, with a 1M token context window, purpose-built for long-context coding-agent workflows. GLM-5.2 trails Claude Opus 4.8 by just 1% on key benchmarks. Vercel CEO Guillermo Rauch called its coding ability “almost shocking.” And you can download it, modify it, and run it yourself without any usage restrictions, thanks to the MIT license. This is the most powerful truly open model available — and it landed the same day the US government issued export restrictions on Anthropic’s Fable 5 for foreign users. The timing is unlikely to be accidental. ...

A small change in Claude Code v2.1.185 has an outsized impact for anyone running long, complex, or multi-agent sessions: the stream-stall detection timeout has been doubled from 10 seconds to 20 seconds. It’s a one-line change in substance, but it meaningfully reduces the rate of premature retries that have frustrated developers running sophisticated agentic workflows. What Changed in v2.1.185 Claude Code uses client-side stream-stall detection to figure out when an API response has gone silent. When SSE tokens stop arriving for a certain amount of time, the client assumes something has gone wrong and retries the request. ...

Financial institutions deploying agentic AI face a compliance problem that only gets harder as deployments grow: how do you ensure every AI agent decision is traceable, governed, and defensible under regulations like the EU AI Act, DORA, and NIST AI RMF? FINOS — the Fintech Open Source Foundation — announced today the contribution of the AI Governance Framework MCP Server (AIGF MCP Server), an open-source solution that embeds regulatory governance directly into the MCP-based agentic workflows your agents are already running. ...

Token costs are one of the most persistent headaches in production agentic AI. Every tool output, every log line, every JSON blob that gets stuffed into the model’s context window costs money — and as agents get more capable, their contexts tend to balloon. Headroom, an open-source tool by Netflix engineer Tejas Chopra, attacks this problem head-on. The tool has been trending on X this weekend after gathering thousands of GitHub stars since its open-source release in January 2026. It’s been covered by The Register and has a dedicated YouTube demo. And as of recent commits, it ships a dedicated OpenClaw plugin. ...

OpenClaw keeps shipping at a remarkable pace — just days after the 2026.6.9 stable release, the team has dropped 2026.6.10-beta.1 with a laser focus on reliability, channel breadth, and developer-friendly CLI improvements that practitioners have been requesting for months. What’s New in 2026.6.10-beta.1 More Reliable Agent State The headline improvement in this beta is hardened agent session state management. If you’ve ever experienced issues with pending subagent completions getting lost across turns, or encountered compaction alias bugs that left your agent confused about what it had already done, this release addresses those directly. ...

OpenClaw 2026.6.9 is the recommended stable production baseline as of June 21, 2026. It ships 422 merged pull requests including rich Telegram HTML delivery, stronger Codex integration, and substantially improved agent recovery. Here’s what you need to do to upgrade cleanly and take advantage of the new capabilities. Accuracy note: This guide is based on verified release notes and community documentation. For the definitive reference on any specific configuration key or command, always check the official OpenClaw documentation and the release notes on the GitHub releases page. Commands here reflect the general upgrade path; verify against your specific deployment before running in production. ...

You know the developer. Maybe you’ve worked with them — or maybe you’ve been them on a good day. Long ponytail, oval glasses, been at the company longer than version control. You show them fifty lines of code, they squint, delete forty-nine, and replace them with one. They don’t write clever code. They write less code. And their features ship faster, break less, and never need a migration guide. Ponytail puts that developer inside your AI coding agent. ...