Recently Evaluated

AISBF is a self-hostable AI service broker and OpenAI-compatible proxy/router for routing requests across multiple providers, adding prompt-aware model selection, failover, quotas, analytics, and privacy-focused deployment options.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

Darc is a CLI tool for coding agents that indexes prior agent sessions for grep-like memory search and lets teams share encrypted session indexes through Git-backed branches.

An open-source bridge that lets AI IDE chat sessions resume asynchronously from timers, shell commands, or webhooks. It supports VS Code GitHub Copilot Chat and Windsurf, with local HTTP endpoints and a quick-start flow shown in the repo README.

A survey of eight tools that sit between AI agents and the services they call, covering credential injection, interception, policy enforcement, and mocking/testing. The page explains what each tool is for, where it fits, and what to watch out for.

A research page and preprint about using code as the runtime layer for agent systems, with a taxonomy of harness interfaces, harness mechanisms, and scaling patterns for multi-agent workflows.

CLI for testing and improving documentation with simulated developer agents. It checks whether docs are clear enough for agents to complete real tasks, reports where they get stuck, and can generate proposed edits.

Audio.Observer turns current news headlines into AI-generated songs and a 24/7 live radio stream. The site shows daily tracks, an archive, genre-based listening, and a clear link between each song and a real news story.

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 technical blog post about using devcontainer + Nix + Docker, plus small helper tools, to keep one reproducible dev environment working for humans, CI, and AI agents.

A GitHub repository that proposes a practical methodology for evaluating how AI systems behave during real work, with quick-start, practitioner, and methodology guides included.

Open-source local compute fabric for AI agents. It runs a single-node K3s stack through Docker Compose, provisions isolated Ubuntu sandboxes, and exposes native MCP support for local agent workflows.

A free AI headshot generator that turns one selfie into professional profile photos in about 60 seconds, with no signup or credit card required.

A bootable Linux-based OS prototype with a React desktop, Rust daemons, Electron shell, and a local AI assistant. The page describes the boot flow, architecture layers, built-in apps, persistence, and hardware boot timing.

TokenScale is a browser-based AI API pricing explorer that compares 16 providers, converts token costs into familiar real-world examples, and shows how batch, cache, and conversation length affect spend.

A local-first shared development environment for humans and CLI coding agents, with persistent workspaces, worktree-isolated tasks, agent coordination, and built-in review and browser tools.

Open-source multi-modal Claude Code client that runs locally and lets Claude compose across plugins, GUIs, documents, charts, wikis, automations, and messaging bridges.

Logbox is a developer tool that captures dev server logs and exposes them through an MCP server so coding agents can search and inspect logs directly.

Open-source SDK for governing AI agent tool calls before side effects happen, with policy enforcement, approval flows, audit logs, and local execution.

Open-source autonomous development pipeline for Claude Code that moves from spec and planning through implementation, validation, PR creation, Codex review, and bug triage.

A native macOS Markdown viewer that renders GitHub-flavored and Obsidian-style Markdown in a lightweight app with CLI, drag-and-drop, file association, math, Mermaid diagrams, and frontmatter support.

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.

A detailed write-up about using AI coding agents to build and tune a Rust multi-Paxos consensus engine, with concrete notes on contracts, spec-driven development, testing, and performance work.

Google’s Gemini 3.5 Flash announcement describes a frontier model aimed at agents and coding, with notes on speed, multimodal generation, and availability through the Gemini app, Google Antigravity, Gemini API, AI Studio, Android Studio, and Gemini Enterprise.