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Introducing CRABWISE 🦀 Build trust with your agents and set rules they can't break. Local-first agent monitoring, audit trail, and policy enforcement with multi-agent, multi-provider support → live agent monitoring → local policy enforcement (commandments) → a hash-chained audit trail → terminal UIs for status, watch, and audit →...

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Luciano Castillo

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13,929 görüntüleme • 5 ay önce •via X (Twitter)

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🦀 Introducing Crabwalk 🦀 Open-source companion monitor for Clawdbot. Watch your Clawdbot agents work in real-time: → Live node graph of sessions & action chains → WhatsApp, Telegram, Discord, Slack... → See thinking states, tool calls, responses as they happen → Filter by platform, search by recipient... → More features to come, I just built it during the snowstorm 🚧❄️. Plus a little crab bastard that chases your nodes around 🫡Follow me Luciano Castillo to stay up to date.

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Today, we're excited to release the Heptabase CLI — a new way for external AI agents to interact with your local Heptabase knowledge base from the terminal. Once enabled (Settings > AI Features > CLI), any AI coding agent (e.g., Claude Code, Codex) can: - Create, read, and edit note cards and journals - Search your Card Library - Manage tags - Read your AI Tutor courses, lessons, and chat history This is just the first step; we'll keep expanding the CLI surface so AI agents can act on your knowledge at the same depth that you can. If you build something interesting with it, feel free to share with our community!

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Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

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✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

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This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now
1:36:25

This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now

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Introducing OpenLogs. A key part of my local dev stack. Stop copy & pasting your terminal logs into an agent. Now just prefix your command with ol and your agent can see everything. Log visibility was a huge bottleneck for local development - agents were unaware when something isn't working. Now they can just check the logs themselves and fix - no more human involvement. Give it a try and let me know any feedback!

Charlie Lamb

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New agentic short course! Multi AI Agent Systems with crewAI, built with CrewAI's founder and CEO João Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll work with key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. And you'll build your own multi-agent systems that can tackle complex tasks. I think you'll find it both productive and fun to design agents and watch them collaborate to get things done. Let me know what you think! I believe multi-agent architectures will drive significant progress in AI systems. Please sign up here!
2:39

New agentic short course! Multi AI Agent Systems with crewAI, built with CrewAI's founder and CEO João Moura. In this course, you'll learn how to break down complex tasks into subtasks for multiple AI agents, each playing a specialized role, to execute. For example, to generate a research report, you might have researcher, writer, and quality assurance agents collaborate. You'll define the roles, expectations, and interactions between the agents—like a manager organizing a team. You'll work with key agentic AI techniques like role-playing, tool use, memory, guardrails, and cross-agent collaboration. And you'll build your own multi-agent systems that can tackle complex tasks. I think you'll find it both productive and fun to design agents and watch them collaborate to get things done. Let me know what you think! I believe multi-agent architectures will drive significant progress in AI systems. Please sign up here!

Andrew Ng

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Brex 2025 Fall Release: Introducing Intelligent Finance. AI agents are on their way to multiply your speed and control 🤖 They will handle expense tasks, audit spend, flag risks, and resolve issues for you. All based on your rules, and with full transparency. 0:02 Agents on Brex in action 0:14 Meet Brex's AI assistant 1:42 Get policy answers instantly 2:20 Train agents to enforce your policy 4:12 Run reports with just a question 4:51 Move faster, stay in control 5:19 Welcome to intelligent finance

Brex

214,838 görüntüleme • 9 ay önce

evo v0.3 is now out! evo now has RLMs, forked context agents and much more ! read the thread for more details for those unaware : evo helps you run autoresearch on your codebase. its a simple claude code / codex / openclaw / hermes agent plugin that's super easy to install and get started with here's whats new in v0.3 -
1:24

evo v0.3 is now out! evo now has RLMs, forked context agents and much more ! read the thread for more details for those unaware : evo helps you run autoresearch on your codebase. its a simple claude code / codex / openclaw / hermes agent plugin that's super easy to install and get started with here's whats new in v0.3 -

Alok Bishoyi

20,696 görüntüleme • 3 ay önce