An open source AI assistant called Moltbot (formerly “Clawdbot”) recently crossed 69,000 stars on GitHub after a month, making it […]
Category: agentic AI
Moonshot AI Releases Kimi K2.5: An Open Source Visual Agentic Intelligence Model with Native Swarm Execution
Moonshot AI has released Kimi K2.5 as an open source visual agentic intelligence model. It combines a large Mixture of […]
DSGym Offers a Reusable Container Based Substrate for Building and Benchmarking Data Science Agents
Data science agents should inspect datasets, design workflows, run code, and return verifiable answers, not just autocomplete Pandas code. DSGym, […]
How a Haystack-Powered Multi-Agent System Detects Incidents, Investigates Metrics and Logs, and Produces Production-Grade Incident Reviews End-to-End
In this tutorial, we design this implementation to demonstrate how Haystack enables building advanced, agentic AI systems that go far […]
OpenAI spills technical details about how its AI coding agent works
It’s worth noting that both OpenAI and Anthropic open-source their coding CLI clients on GitHub, allowing developers to examine the […]
Agentic AI is being rolled out before organizations are ready for the identity risks
While executives are prioritizing AI-driven identity risks, those on the frontlines say they lack the executive support, tooling, and automation […]
What is Clawdbot? How a Local First Agent Stack Turns Chats into Real Automations
Clawdbot is an open source personal AI assistant that you run on your own hardware. It connects large language models […]
StepFun AI Introduce Step-DeepResearch: A Cost-Effective Deep Research Agent Model Built Around Atomic Capabilities
StepFun has introduced Step-DeepResearch, a 32B parameter end to end deep research agent that aims to turn web search into […]
GitHub Releases Copilot-SDK to Embed Its Agentic Runtime in Any App
GitHub has opened up the internal agent runtime that powers GitHub Copilot CLI and exposed it as a programmable SDK. […]
How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints?
In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token […]
