Long-term memory is a vital part of building great agent interactions. Here's David Xu showing how to use it to make an email assistant improve over time! This ties in beautifully with the prior human in the loop steps, as the agent uses the human's edits and rejections to
AGENTS
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OpenAI adopts Model Context Protocol for ChatGPT connectors
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OpenAI is finally tapping into MCPs As ChatGPT will be getting a custom connector option, which is likely similar to the recently added Remote MCP feature on Claude.
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Agent Inbox: Human-in-the-Loop Control and Oversight for Agents
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Next up, Nick is back with a deep dive into Agent Inbox and the UI/UX around human in the loop interactions! A non-technical end user can use it to gain oversight into an agent's actions, accepting/editing/ignoring suggested actions as an agent runs! This human component
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Agent Inbox: Human-in-the-Loop Control for Agent Actions
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Next up, Nick is back with a deep dive into Agent Inbox and the UI/UX around human in the loop interactions! A non-technical end user can use it to gain oversight into an agent's actions, accepting/editing/ignoring suggested actions as an agent runs! This human component
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LangSmith Evals: Build Production-Ready Agents with Confidence
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Evals are a key part of bringing your agent from prototype to production Nick Huang shows how LangSmith evals and experiments give you confidence in the reliability of your agents! Define metrics and run against a dataset, or get started quickly with our pytest integration
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LangSmith Evals: Moving Agents from Prototype to Production
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Evals are a key part of bringing your agent from prototype to production Nick Huang shows how LangSmith evals and experiments give you confidence in the reliability of your agents! Define metrics and run against a dataset, or get started quickly with our pytest integration
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AI Agents Revolutionizing Business Problem Solving Across Industries
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Reasoning #AIagents are revolutionizing how businesses solve complex problems. These advanced AI systems can plan, reason, and act, making informed decisions in real-time. Learn how agents can excel in healthcare, customer service, finance, logistics, and robotics
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Building Ambient Agents for Email and Calendar Management
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@RLanceMartin is back on the podium to show how to build a long-running "ambient" agent that responds to emails and updates your calendar! Automating your inbox saves time but you DEFINITELY want final review before sending responses. Human-in-the-loop UX with LangGraph is the
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Building Ambient Agents for Email and Calendar Management
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@RLanceMartin is back on the podium to show how to build a long-running "ambient" agent that responds to emails and updates your calendar! Automating your inbox saves time but you DEFINITELY want final review before sending responses. Human-in-the-loop UX with LangGraph is the
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Autonomous Meta-Agentic AGI Businesses Hunt Alpha Value
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[ "Autonomous Meta-Agentic α-AGI Businesses" ] On-chain enterprises that spawn, evolve & govern their own swarms of α-AGI Agents to hunt hidden “alpha” (value) across any domain $AGIALPHA. GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… #AGIALPHA #MetaAgentic #ASIFirst