Newly Accepted

TaskPeace is an MCP-native task manager for AI coding agents. It gives agents one ranked queue to pull from, with a live cockpit for humans to monitor work, and supports Claude Code, Cursor, ChatGPT, and other MCP or REST-based agents.

A GitHub repository guide to running state-of-the-art LLMs on local hardware, with concrete build notes, cost breakdowns, and runnable configs for large models.

A side-pane companion for Claude Code that shows daily AI news and spaced-repetition concepts while the agent is working, then hides when it needs user attention.

A minimal, provider-agnostic agent loop for building custom AI agents with swappable memory, model, tools, and stop-condition seams.

A live, data-driven dashboard that tracks whether AI expansion is still intensifying or starting to cool, using infrastructure spend, data-center power, sovereign commitments, and supply-chain bottlenecks.

Mirrors turns production traces into an isolated, runnable copy of an AI agent’s environment so teams can replay workflows, reproduce bugs, and test changes safely before shipping.

A source-available JavaScript browser agent for asserting end-to-end behavior in real user sessions. The repo explains the annotation-based approach, how it runs in staging and production, and how to install and initialize it via CDN or npm.

An interactive CTF-style challenge where users try to break or exfiltrate data from sandboxed AI agents running in Declaw’s isolated runtime.

NamedLocal checks whether a local contractor business appears in AI-generated recommendations, then offers a free breakdown and a paid report with competitor and citation insights.

A GitHub repository presenting VSE Engine (Velocity & Structure Encoding), a prototype for computing over transmission using pulse-position and duration modulation ideas. The README describes a byte-splitting pipeline, time-slot mapping, and decode/resynthesis flow, with supporting source files in the repo.

Matrix OS is a cloud computer for background AI agents, offering persistent hosted workspaces with terminals, repos, previews, and agent sessions that keep running after your laptop closes.

SEOAgent is an SEO workflow tool for coding agents like Claude Code, Cursor, and Codex. It audits sites locally, suggests evidence-backed updates in the cloud, and syncs approved changes back into the repo.

Mission-control desktop app for running AI coding agents in parallel across Git worktrees, with inline code review, session isolation, and support for tools like Claude and Codex.

Deterministic CLI that scans AI-generated code for bad API integrations using AST-based rules. It supports providers like Supabase, Auth0, Firebase, Resend, Twilio, and OpenAI-related tools, and can be run directly or installed as an agent skill.

A free browser-based simulator for testing how AI agents affect a 35-person engineering org. It lets users change assumptions, compare scenario deltas, and share or export the result as OrgSpec YAML.

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

Private skill search for AI coding agents. It helps an agent match abstract capability wishes to vetted skills without sending task details off machine.

Open-source companion tooling for agentic AI coding, built as a plugin and CLI around Anthropic Claude Code with support for related coding tools. The site shows setup, usage, and many concrete workflows for brainstorming, root-cause analysis, component discovery, decision support, document cleanup, and code analysis.

A local MCP server that builds a deterministic architecture graph of a codebase so AI coding agents can inspect modules, symbols, routes, dependencies, and cross-repo relationships from source-backed facts.

An MCP server that gives coding agents a compiler-backed graph of a TypeScript codebase, so they can answer structure questions with fewer tokens and exact file-and-line references.

Bootable Rust no_std kernel built as an inference substrate for LLMs, with tensor-native memory allocation, layer-boundary scheduling, and streaming-focused runtime primitives.

Open-source, local-first money agent that finds waste, drafts cancellation or dispute actions, and only proceeds with user approval. It emphasizes consent, a tamper-evident audit trail, and bring-your-own-key operation.

A from-scratch ~1B parameter language model on Hugging Face with open weights, open data, training details, and loading guidance. The page is unusually candid about capabilities, limits, and evaluation.

A monthly poll that asks developers which AI coding agents they use and publishes the results.