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A weekly security audit of Atlassian’s remote MCP server, focused on OAuth 2.1, RFC 9728 discovery, PKCE, DCR, and token handling. The page documents why the server’s discovery chain fails and includes HTTP evidence links.

A Rust-based CLI that fetches web pages, strips page chrome, and outputs readable Markdown for AI agents and shell workflows.

MagesticAI is an open-source, browser-based platform for managing AI coding tasks with multi-agent orchestration, task boards, terminal access, and code review. The README shows installation steps, Docker deployment, supported platforms, and a concrete local setup path.

Open-source shared memory for AI coding agents that records decisions, rejected alternatives, and contradictions across sessions.

An interactive choose-your-own-adventure that explores 28 possible AI futures through branching questions and personalized vignettes.

Permission-first CLAUDE.md and agent stack for Claude Code and Google Antigravity, with 10 agents, 28 skills, and one-command installation.

relaxAI is a UK sovereign LLM inference API with OpenAI-compatible endpoints and official SDKs for Python, TypeScript, and Go. The docs page covers installation, REST usage, and links into models, pricing, authentication, and endpoint sections.

A walkthrough for building and deploying an AI agent on Truuze with the AaaS dashboard, including setup, testing, connector configuration, and the platform’s escrow-based transaction flow.

A Mac menu bar app that schedules Claude Code prompts to run later on the user’s Mac, using local files, skills, and CLI tools. Results post back when the job runs.

Gread is a Skill and MCP server that gives coding agents access to the source code and docs of public GitHub repositories, with support for both skill-based and MCP client integrations.

Agentize is a Claude Code-oriented framework for assessing and improving how ready a codebase is for AI agents. It includes two maturity models, runnable assessment and improvement commands, and installable skills for project or personal use.

An open-source Claude Code skill set for academic research, covering research, writing, review, revision, and finalization. It includes guided workflows, installation steps, and pipeline documentation for researchers using AI in a human-in-the-loop process.

UltraCompress is a Python-based compression tool for large language models. The repo describes lossless 5-bit transformer compression, verification via SHA-256, a CLI on PyPI, and published model packs on Hugging Face.

Local-first long-term memory engine for AI agents with MCP, HTTP API, CLI, and Python usage. The page shows installation paths, IDE integrations, ingestion sources, and a live feature set focused on durable context, retrieval, and privacy.

A Docker-based sandbox for running AI coding agents with dropped capabilities, no-new-privileges, and no Docker socket access. It wraps the pi terminal coding agent and supports local file edits, persistent auth, and skills mounts.

CacheCore is an agent infrastructure tool that sits between LLM clients and the API to cache exact and near-identical prompts, cutting repeat calls and latency. The page shows OpenAI-compatible integration, support for common agent frameworks, and use cases for RAG and multi-agent workflows.

An open-source Llama2 inference engine written in x86 real-mode assembly that fits in 1277 bytes and can boot directly from disk before any OS loads.

An open-source SAS 9.4-compatible interpreter written by agents, with a browser playground, tests, and real clinical-programming pipeline support.

Open-source security agent framework for cloud, code, and runtime. It ships 45 built-in agents for AWS, GCP, Azure, Kubernetes, GitHub, and GitLab, and lets users create custom agents in a single markdown file.

An open framework for scoring how well an MCP tool definition communicates to an AI agent, with a spec, reference implementation, CLI, and hosted API.

AURA is a Rust-based SRE agent platform for investigating and fixing production incidents. The repository shows a quick start, production-safety controls, multi-model support, MCP and RAG integrations, and an example incident workflow using traces, logs, and Kubernetes history.

Google’s Gemini 3.8 Flash model page for developers, describing a high-speed multimodal model with support for agents, function calling, structured outputs, code execution, file search, computer use, and long context.

Open-source LLM gateway that adds cost visibility, request tracing, repeated-call detection, and basic prompt-injection heuristics for OpenAI and Anthropic traffic.

A pure C runtime for Gemma 4 E2B CPU inference, with export, benchmarking, and numerical validation tools included.