Opus 5.5 is good at explainer videos
Checking in on Opus 5.5 ~1 week after launch. It's the #1 model in share of spend and share of tokens among Anthropic models on OpenRouter Switching from Opus 5 has been particularly rapid
Latent Space21 min read
langchain
160 stories
LangSmith Custom Apps: Build custom interfaces around your agent data
LangSmith Custom Apps lets you build the interface you want with your LangSmith data, publish it into your workspace, and skip the hosting, auth, and permissions work. Learn more.
LangChain Blog5 min readNew in LangSmith: Engine v2, Managed Deep Agents, Fine-Tuning, and more
LangChain announced new updates to LangSmith. Updates include Engine v2 with red teaming and automatic testing, a new version of Managed Deep Agents, trajectories and more.
LangChain Blog6 min readBuilding Production Agents with Jev and LangGraph
See how LangGraph orchestrates Jev, TypeSafe AI's decision model, to build faster, cheaper production agents.
LangChain Blog8 min readHarness And Agents
Every LLM call is stateless, and a model on its own cannot act; the software that turns it into an agent is the harness.
Maximem Synap Blog4 min readVertex AI Agent Builder Alternatives: 8 Simpler Options
8 Vertex AI Agent Builder alternatives that are cheaper or simpler: BetterClaw, n8n, Gumloop, CrewAI, Lindy, LangGraph, OpenRouter and AWS AgentCore.
BetterClaw Blog13 min readHow to Add Conversational Memory to a LangChain App (2026 Guide)
To add conversational memory to a LangChain app today, pass a checkpointer to create_agent and reuse one thread_id per conversation; to remember a person across conversations, add a LangGraph store or plug in Maximem Synap through the maximem-synap-langchain package.
Maximem Synap Blog21 min readShort-Term vs Long-Term Memory in LLMs, and What "Context Memory" Actually Means
Short-term memory in an LLM is whatever sits in the context window on the current call: the system prompt, the recent conversation, tool results and any retrieved text, all re-sent by the application on every request and gone when the request ends.
Maximem Synap Blog16 min readThe agent didn’t break your controls. It went around them.
The identity part of agent security is settled. An agent needs its own identity: a short-lived, revocable credential scoped to The post The agent didn’t break your controls. It went around them. appeared first on The New Stack.
The New Stack - AI7 min readRunpod Partners With Data Science Dojo for LLM Bootcamps
Runpod has partnered with Data Science Dojo to power their Large Language Model bootcamps, providing scalable GPU infrastructure to support hands-on.
RunPod4 min readArticle: The Agent Harness: What it is and Two Ways to Build One
This article explains the development and operational layers of an agent harness through two implementations of a finance assistant: AWS AgentCore Harness and LangChain with Envoy AI Gateway.
InfoQ - AI/ML/Data17 min readThe Future of Latent Space
A quiet day lets us discuss the work behind the scenes - now open for business!
Latent Space20 min read9 Essential Claude Skills for AI Engineers Building Production Agents + 1 Bonus Skill
Nine Claude Skills we run in production, plus one bonus, with the install command for each and what it saves you. Updated September 2026.
Maximem Synap Blog11 min readTesting Jev on real phone calls
TypeSafe's Jev is pitched at exactly the decisions that sit around a phone call. We put it on three real jobs against 17 models: it is 1.7 to 3.3 times faster everywhere, level with the best on judging and extraction, and not ready for routing.
Bolna Blog7 min readNew in LangSmith Engine: red teaming and automated testing
LangSmith Engine now includes Red Teaming to proactively detect agent issues and automated agent testing. Learn more about the Engine v2 release.
LangChain Blog5 min readTrajectories now in LangSmith: A readable view of every agent session
Trajectories in LangSmith provide a conversational view of an agent session. Trajectories make trace data easy to navigate and speed up debugging for long-running agents.
LangChain Blog5 min readIntroducing LangSmith Fine-Tuning
LangChain introduces LangSmith Fine-Tuning and SmithTune, a CLI built for post-training models. Train specialized models without building data pipelines by hand.
LangChain Blog7 min readManaged Deep Agents delivers a better user experience for agents in production
Managed Deep Agents is the simplest way to build, deploy, and run agents in production. The 0.8 release adds support for user-owned credentials, user-level memory, HTTP channels, file transfer in Slack and a pre-built tool for web search.
LangChain Blog8 min read
Showing 72 of 160 stories
Load more storiesAiByts Weekly Brief
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts