Recently Evaluated

A local, read-only observability dashboard for Claude Code with live event streams, session Kanban, token and cost charts, a 3D tool-call graph, and plugin-based widgets.

Open-source AI SEO optimizer CLI that audits pages, generates meta tags, analyzes keyword gaps, and drafts blog outlines. It can run free for audits and uses a KianBot API key for AI-assisted features.

A post about TMA1 v2, a local observability and context-sharing tool for coding agents. It adds an MCP server, hook-based context injection, and cross-agent sharing between Claude Code and Codex.

Chrome extension that extracts AI-generated HTML from ChatGPT, Claude, and Gemini, then previews, downloads, or publishes it to targets like Netlify, GitHub, FTP, or a self-hosted agent.

A file-backed workflow for resumable coding-agent projects, using Markdown records, a CLI, and bundled workflow skills to keep project state on disk instead of in chat.

A GitHub research project that measures how gpt-4.1 responds when asked to pick a random number between 1 and 100, using 10,000 API calls and comparing the results to a uniform baseline.

An interactive guide for choosing local AI hardware and matching open-weights LLMs to specific builds. It offers budget-based build recommendations, a hardware picker, model-to-hardware compatibility, and a state-of-the-local-AI snapshot.

A PyTorch reference implementation of DeepSeek Sparse Attention from the LLMs-from-scratch project, including a lightweight indexer, top-K token selection, and a GPT-style model with KV-cache support.

CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.

A Mojo port of the Pi AI Agent Toolkit with a set of runnable examples for chat, coding agents, tool calling, web research, and long-running agent loops.

A browser-based demo where an AI agent writes x86_64 assembly and eBPF to generate Wolfram cellular automata and Mandelbrot fractals inside a real Linux VM, with framebuffer and kernel trace streams exposed live.

An essay arguing that second-person system prompts create attentional overhead and identity fragmentation in agent design, and proposing first-person initialization as an alternative.

Agenvoy is a Go-native multi-model AI agent framework that routes tasks to the best model, shares a common daemon and session across interfaces, and can generate scripts or APIs to extend its toolset.

Optic is an AI feature intelligence platform for SaaS teams. It tracks AI interactions at the account level, surfaces quality and abandonment signals, and sends engineering alerts plus daily CS digests in Slack.

A bilingual satirical idle simulation where you run an AI startup from toy classifiers to near-AGI, managing data, compute, launches, crises, and rivals.

A Torque demo page showing proof-gated, policy-checked production changes for a Kubernetes PostgreSQL workload, with signed evidence, authorization records, and replayable audit artifacts.

Local-first memory layer for coding agents with an MCP server, CLI, and desktop console for durable project context, handoffs, and recall across sessions.

OpenClaw is a self-hosted personal AI assistant that runs on your own devices and connects to many messaging channels, with CLI-based setup and onboarding.

A docs index page for Claude Code that maps the documentation structure and links to major sections like getting started, core concepts, tools, automation, and deployment.

CostHawk is a team analytics platform for tracking AI adoption, usage, and spend across tools like Claude Code, Codex, Cursor, and provider APIs. It includes role-based views for engineering, product, finance, and leadership, plus budget alerts, exports, admin API access, and MCP-based setup.

Git-native memory for coding agents that stores repo intent, decisions, constraints, and review context before the diff. The repo includes the problem statement, product positioning, install steps, and agent hooks for tools like Claude Code, Cursor, and Codex.

Research paper introducing hyperagents, a self-referential agent framework that combines a task agent and a meta agent into one editable program. The abstract describes a DGM-based system that improves both task performance and its own improvement process across domains.

A secure Model Context Protocol server that gives AI assistants controlled terminal access with risk analysis, sandboxing, logging, filesystem protection, and optional Docker and Git features.

An experimental programming language and compiler built for agent workflows, with CLI commands for parsing, checking, graphing, repair planning, and JSON-based inspection output.