Newly Accepted

A lightweight terminal AI sidecar for Zellij that keeps quick questions separate from your main agent session, with local JSONL logging, SQLite search, and multiple LLM provider options.

A custom Iosevka font build inspired by Anthropic Mono, with prebuilt releases and source build instructions.

A MotherDuck blog interview with Wes McKinney on practical AI coding workflows, including spec-driven development, continuous AI code review, and how to keep agent-generated code maintainable.

Local-first agentic coding assistant in Rust with a terminal UI, embedded web UI, phone app, always-on gateway, and LAN grid dispatch across multiple machines.

Public GitHub repository describing how to access a large Powerset Research GitHub dataset through an MCP server or DuckDB. Includes no-auth access, schema-aware SQL use, and example queries for agents and analysts.

Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.

Jo is a secure programming language designed to help catch prompt injection and other unsafe behavior at compile time by enforcing explicit capability boundaries. The repository shows the language’s security model, code examples, installation flow, and current project status.

arXiv paper on distilling multi-agent debate into a single LLM with a two-stage fine-tuning pipeline. The abstract reports lower token use, comparable or better benchmark performance, and an analysis of agent-specific activation subspaces, with code linked from the page.

Cloud cost awareness for AI coding agents and IDEs, with real-time pricing for IaC changes, cost tradeoff suggestions, tagging fixes, and policy-aware guardrails.

Lowfat is a lightweight CLI tool that filters noisy command output before it reaches an AI agent, with plugins, shell integration, and usage stats for token savings.

An open-source reference implementation for autonomous vulnerability discovery and remediation with Claude. It includes Claude Code skills for threat modeling, scanning, triage, patching, plus a harness for running a recon → find → verify → report → patch pipeline.

Piece is a mobile app that uses AI to help couples settle small everyday arguments by hearing both sides, weighing the claims, and delivering a verdict in a chosen tone.

A blog post describing a small reinforcement-learning agent trained with PPO to play and beat a Pokelike/Pokerogue-style game, including the input representation, model architecture, and training approach.

CLI for installing, switching, and managing collections of agent skills and agent-specific configurations across multiple coding tools.

h5i is an AI-aware Git sidecar that records agent activity, reasoning traces, prompts, model metadata, and review signals in Git refs so teams can hand off work between coding agents and surface PR review briefs.

A free AI-readiness audit tool for Shopify catalogs that scores product visibility for AI shopping agents and flags catalog issues like weak titles, short descriptions, missing attributes, and sparse images.

Visr is a CLI tool that records full agent terminal trajectories, including commands, output, retries, and fixes, then returns a transcript link for reuse across sessions.

Hydron is a hardware-native AI coding assistant for embedded engineers. It offers spec-cited code generation, datasheet-based answers, and debugging workflows tied to real hardware, with support for VS Code and CLI use.

Swift package for building provider-agnostic AI agents on Apple platforms, with tools for runtime permissions, hooks, context compaction, session state, validation loops, and traceable execution.

A black-box benchmark report on how AI-generated tests detect functional bugs in live APIs across 20 scenarios and 7 systems.

Local-first AI memory layer for LLM apps with persistent knowledge graph storage, entity extraction, semantic retrieval, and API endpoints for ingesting and retrieving context.

Google’s Gemma 4 12B is a multimodal model for local and developer-focused AI use, with native audio and vision support, agentic workflows, and broad tooling support.

AI-native workspace for writers, bloggers, and lifelong learners. It combines source collection, an idea map, AI-assisted exploration, and a focused writing editor designed to support long-form thinking.

Open-source Go runtime for autonomous multi-agent systems. Swarm models work as durable state machines, persists state, supports replay/fork, and integrates with multiple LLM backends.