Context Engineering

Auto Added by WPeMatico

0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP

Zurich-based 0sec Labs has released 0, an open-source AI security harness. It runs vulnerability investigations, code review, pentesting, reverse engineering and fix generation. Developers drive it from a local browser console, a headless CLI or an MCP server. The 0sec Labs open-source AI security harness is licensed MIT OR Apache-2.0 and ships as a research

0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP Read More »

Ricursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1

Ricursive Intelligence just released Ripple-65B Preview. Ripple-65B Preview is a 65B dense open-weight model from Ricursive, pretrained from scratch for agentic coding. It is a general-purpose variant of the proprietary model behind Ricursive’s AI chip design platform. The main claim: 80.52 on Terminal-Bench 2.1, the top self-reported score among US open-weight models. Every MoE rival

Ricursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1 Read More »

▶

The Letter Company Releases Letterpress-1: A Coding Agent Built for Growth Engineering

The Letter Company has released the beta of Letterpress-1, a coding agent, harness and IDE for growth engineering. The Letterpress-1 coding agent reads a website and its market, then decides what should exist. It builds the change in a sandbox and opens a pull request with a live preview. TL;DR Size: Letter team says it

The Letter Company Releases Letterpress-1: A Coding Agent Built for Growth Engineering Read More »

Nace AI Open-Sources Drex Max v1: A 27B Decision Model That Runs Locally on Apple Silicon

Nace AI has released Drex Max v1 as open weights. Drex Max is its most capable decision model, and it now runs on your own hardware. The release ships bf16 weights, a Q8_0 GGUF, an affine Q4 checkpoint and forks of llama.cpp and Ollama. For developers, Drex Max open weights mean routing, classification and policy

Nace AI Open-Sources Drex Max v1: A 27B Decision Model That Runs Locally on Apple Silicon Read More »

OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work

OpenAI has released GPT-6.1 Terra, a fast model for visual reasoning, computer use and writing. It replaces GPT-5.6 Terra and is live in the API as gpt-6.1-terra. Standard pricing is $1 per million input tokens and $5 per million output tokens. For teams automating screens, forms and documents at volume, GPT-6.1 Terra changes the cost

OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work Read More »

Nace AI Releases Drex for Search for AI Agents: 92.05% on BrowseComp-Plus With 12.6 Search Calls

Nace AI has released Drex for Search, which brings its Drex decision models to document search. Drex for Search is a retrieval layer that helps people and agents find evidence. Coding agents such as Claude Code, Codex, Cursor and OpenCode call it through CLI, SDKs, MCP or REST. In Nace’s evaluation, it scores 92.05% on

Nace AI Releases Drex for Search for AI Agents: 92.05% on BrowseComp-Plus With 12.6 Search Calls Read More »

Cognition Open-Sources an Agent Plugin that Helps Secure Systems against Recent Cybersecurity Threats

Cognition has released the Devin Vulnerability Fixes plugin, a free, open-source set of agent skills. It targets three critical remote code execution (RCE) advisories. They cover PHP2Shell, the Node.js October 21, 2026 security release and a CVSS 10.0 self-managed GitLab bug. The skills run in Devin and in any coding agent that reads SKILL.md files.

Cognition Open-Sources an Agent Plugin that Helps Secure Systems against Recent Cybersecurity Threats Read More »

▶

Meet Anthropic’s sandbox-runtime: OS-Level Sandboxing for AI Agents, No Containers

In this article, we will discuss newly trending open sourced Anthropic’s sandbox-runtime (srt), the OS-level sandbox behind Claude Code’s sandboxed bash tool. The Anthropic sandbox-runtime limits which files a process can touch and which hosts it can reach. It does this without spinning up a container. It is also not tied to Claude Code. Your

Meet Anthropic’s sandbox-runtime: OS-Level Sandboxing for AI Agents, No Containers Read More »

🧠

Stateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic Retrieval, Custom Tools, Streaming, and Portable Agent Workflows

In this tutorial, we build a stateful engineering copilot with Letta that demonstrates how agentic memory extends beyond conventional prompt-based conversations. We begin by creating inspectable core memory blocks that the agent can autonomously update, then expose those blocks for programmatic state synchronization and shared access across multiple agents. We further extend the architecture with

Stateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic Retrieval, Custom Tools, Streaming, and Portable Agent Workflows Read More »

Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context

Moonshot AI has just released Kimi K3.1 Pro, the first model in its K3.1 series. Kimi K3.1 Pro is a 3T-class open-weight* model with a 1-million-token context window. Moonshot team positions it against the strongest proprietary models on coding, agentic and knowledge benchmarks. For developers, it is cheaper API pricing than K3 and open weights

Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context Read More »