I've been thinking a lot lately about model routing and related things. Current thoughts here, I'd like feedback: 1/ there is a difference between 'model routing' and 'model advising'. 'model routing' = routing to a single
@hwchase17
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Build your own Claude Code with Deep Agents
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Great community article showing how to build a Claude Code-like agent using Deep Agents. Particularly relevant given how powerful GLM-5.2 appears to be! https://pub.towardsai.net/build-your-own-claude-code-using-langchin-a-deepdive-into-langchains-deep-agents-9ef98d98a69a …
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Leve: filesystem-first durable agent framework built on LangGraph
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Very cool work from @jit_infinity:
— Harrison Chase (@hwchase17) 20 juin 2026
🔥Leve: filesystem-first, durable agent framework built on LangGraph.
You describe an agent as a directory of files. Leve compiles that directory into an agent and runs it
Inspired by Vercel's Evehttps://t.co/cfWpii90Yn pic.twitter.com/S7FhJEirITVery cool work from @jit_infinity
: Leve: filesystem-first, durable agent framework built on LangGraph. You describe an agent as a directory of files. Leve compiles that directory into an agent and runs it Inspired by Vercel's Eve https://
github.com/prasanjit101/L
eve
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Complete course on agentic AI with LangChain and LangGraph
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One of the best courses on agentic AIs I have seen. Nearly 10 hours of excellent content. Covers LangChain, LangGraph, RAG, deepagents, guardrails, and more. Are there any other good Lang* resources for people interested in learning?
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dcode: model-agnostic harness, recommended with Fireworks
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It is indeed very good! Do not try it in claude code/codex – these harnesses are too tailored for their proprietary models. dcode (deepagents code) is a model-agnostic harness – try it there with @FireworksAI_HQ: dcode –model
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Harbor: standard framework for stateful agent evaluations
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Harbor is an excellent framework for running longer, more stateful agent evaluations. It underpins Terminal Bench 2 and is becoming the industry standard. LangSmith sandboxes now integrate Harbor!
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Increase in spending on coding agents and LLM gateway control
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Like many organizations new to AI, our spending on coding agents has increased quite dramatically over the past few months. A key element of the LLM gateway we are developing (available in private preview right now) is the control of…
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Arcade Launch: Thousands of Tools with LangChain No-Code
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congrats to arcade for their launch!
— Harrison Chase (@hwchase17) 15 juin 2026
they make it super easy to use thousands of tools
if you want to try them out with langchain – easiest way is probably our no-code agent builder: https://t.co/jRHHHwQMHh https://t.co/WTlTJDkfnRCongratulations to Arcade for their launch! They make it super easy to use thousands of tools. If you want to try them with LangChain – the simplest way is probably our no-code agent builder: https://docs.langchain.com/langsmith/fleet/arcade …
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Problem Detection in Agent Traces with Post-Trained Model
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Detecting problems in agent traces in production is difficult. It must be done at low cost (due to volume) but also with accuracy (otherwise too much noise). We post-trained our own model for this. SOTA accuracy, at ~10-100x lower cost.
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Model neutrality surpasses cloud neutrality as an offensive tool
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Why model neutrality is more important than cloud neutrality was In the cloud era, companies opted for cloud neutrality as a defense mechanism Model neutrality can be an **offensive** mechanism. It is more