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[Release] crewaiInc/crewAI 1.14.0a4: 1.14.0a4
crewAI 1.14.0a4 introduces checkpoint storage capabilities with SqliteProvider and CheckpointConfig, implements runtime state checkpointing with an event system, and refactors the executor. Key improvements include guardrail tracing enhancements, embedding vector exclusion from memory serialization to reduce token usage, and a security bump to litellm. The release also deprecates CodeInterpreterTool and code execution parameters while improving documentation and performance with JSONB storage.
- Add guardrail_type and name parameters to distinguish and trace guardrail execution in workflows
- Implement SqliteProvider for persistent checkpoint storage with automatic CheckpointConfig management
- Exclude embedding vectors from memory serialization to optimize token consumption and reduce costs
- +5 more key points...
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Agent Teams
See all 4 →Threat intelligence enrichment agent Apr 2026 • Tools Agent Patterns Build an agent that autonomously investigates IOCs by querying multiple threat intel sources, cross-referencing findings, mapping to MITRE ATT&CK, and producing structured reports for SIEM and SOAR integration.
This cookbook demonstrates building a Claude-powered threat intelligence enrichment agent that autonomously investigates Indicators of Compromise (IOCs) by querying multiple threat intel sources, correlating findings, mapping to MITRE ATT&CK, and generating structured reports for SIEM/SOAR integration. The agent uses Claude's tool-use capabilities to decide which intelligence sources to query, chain tool calls based on discoveries, and convert free-text analysis into analyst-ready JSON reports. The architecture uses simulated threat intel backends that can be swapped with real APIs (VirusTotal, AbuseIPDB, Shodan, etc.) without changing orchestration logic.
How to turn iMessage into an AI executive assistant with Lindy
Lindy Assistant is an AI executive assistant that integrates directly into iMessage, enabling users to manage tasks, schedule meetings, and handle communications through their existing messaging interface. The demo showcases how Lindy leverages natural language processing to understand context and automate executive workflows without requiring users to switch between multiple applications. This integration transforms iMessage into a productivity hub by combining AI capabilities with the familiarity of everyday messaging.
Greg Isenberg
AutoGen Course Intro 🔥 | Build AI Agents with Agentic AI | Who Should Learn This & What You’ll Build
This is an introductory video to a comprehensive AutoGen and Agentic AI course series. The course teaches learners how to build AI agents using AutoGen framework, covering foundational concepts and practical applications. It outlines who should take the course and what projects participants will build throughout the series.
Nidhi Chouhan
Skills & Tools
When AI stopped talking and started doing #ai #coding #technology #claude #openclaw
In late 2025, two major AI releases marked a pivotal shift from conversational AI to action-oriented AI systems. Claude Opus 4.5 (November 24) and another significant release enabled AI to move beyond talking and actually execute tasks. This transition represents a fundamental change in how AI agents interact with and modify the world, moving from theoretical capabilities to practical, real-world implementation.
Coding Viking
🦞OpenClaw just dropped a massive update and most people have no idea what this actually means AI ca
OpenClaw released a major update enabling AI to generate videos autonomously, representing a significant advancement in AI capabilities. The update allows AI systems to create video content without human intervention, expanding the scope of AI-generated media beyond text and images. This development has major implications for content creation, automation, and AI applications, though many users don't yet understand the full impact and potential use cases.
21 Day Ai Bootcamp
This AI can SHOP for you! Introducing OpenClaw 🤖🛍️
OpenClaw is an AI agent that can autonomously shop for users by understanding their environment and preferences. The system integrates with WhatsApp to receive shopping requests and uses computer vision and reasoning to identify products, compare options, and complete purchases. This represents a significant advancement in practical AI agents that can interact with real-world commerce systems.
Beyond Guts
MCP Servers
[Release] langchain-ai/langchain langchain-ollama==1.1.0: langchain-ollama==1.1.0
langchain-ollama version 1.1.0 introduces several new features and improvements including support for response_format, logprobs, and embedding dimensions, along with critical bug fixes for message serialization and base_url handling. The release includes dependency updates for security (CVE-2026-4539), improved error handling, and code quality enhancements across the Ollama integration package.
github-actions[bot]
[Release] langchain-ai/langchain langchain-core==1.2.27: langchain-core==1.2.27
langchain-core version 1.2.27 was released with a critical fix for handling symlinks in deprecated prompt save paths. The release includes a minor chore update adding clarification comments about the pygments dependency requirement. This patch addresses a reported issue that could affect users relying on legacy prompt saving functionality.
github-actions[bot]
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