Newly Accepted

A Hermes plugin that uses adversarial LLM clones to confront sandbagging and reward-hacking behavior during agent sessions.

A CLI/library for line-level provenance in text edited by humans and agents, using version history to estimate which ranges are human-written versus machine-generated.

A research repo for reducing hallucinations in LLM-generated code using semantic triangulation, with setup, benchmarking, experimentation, and reproducibility instructions.

A web-based tester for MCP servers that inspects tools, resources, and prompts, measures latency, estimates token usage, and flags tool-poisoning risks.

OneRingAI is an open-source TypeScript library for building AI agents with integrations and graph memory. The repository shows a substantial codebase with docs, setup files, testing, MCP-related material, and references to supported models and multimodal capabilities.

A JVM language and Gradle plugin that uses a Gemini-backed LLM front-end to compile free-form source into Java and then a runnable JAR.

FAAAH is a dependency-free, OpenAI-compatible local proxy that routes requests through text files and AI coding agents. It is aimed at developers who want to reuse an existing agent subscription as a backend for tools that expect the OpenAI API.

Experimental page-aware Metal runtime and reproducibility harness for running oversized sparse mixture-of-experts models on Apple Silicon. The repo documents GPT-OSS 120B support, performance results on 64 GiB and 16 GiB machines, and the runtime/harness structure.

Claude Code documentation for cross-session messaging between independent sessions on the same machine and across machines via Remote Control. It explains when to use it, how messages are delivered, and how session permissions affect delivery.

Canonical Agent Notation (CANON) is an open-source controlled English for model prompting and agent-to-agent communication. The repository describes a small closed vocabulary, mandatory obligation markers, bounded loops, and a clear ask-rather-than-guess rule for making requests and agent messages less ambiguous.

Open-source Python project for execution-first multi-agent workflows built around YAML Charterfiles, runtime schema enforcement, and a boss-agent hierarchy. The README includes install commands, a short usage tour, and a small code example.

Rust-native desktop cockpit for coordinating multiple AI coding tools like Claude Code, Codex, and Gemini CLI in one interface. The page shows installation steps, supported platforms, core workflows, safety defaults, and release notes.

compactdiff snapshots, diffs, replays, and branches AI coding-agent sessions locally. It reads Claude Code and Codex logs natively, redacts sensitive data by default, and exports shareable replay HTML or forked JSONL branches.

MCP server that connects external AI agents to Revise for drafting, editing, reading, exporting, and sharing DOCX-compatible documents with tracked changes.

A technical case study on reducing token usage in a coding agent, including a model-free harness, wire-level measurement, and several concrete optimizations that cut a long run from 1.04M to 517k tokens.

A browser-based computer vision project that detects cursor hotspots in screen recordings using temporal motion cues, ONNX Runtime Web, and WebGPU. The repo includes a live demo, training scripts, synthetic data generation, and baseline comparisons against YOLO models.

GreatArrow.ai is an open beta workspace that gives Claude, ChatGPT, Cursor, Gemini, and other MCP-compatible clients shared memory plus action access across tools like Gmail, Slack, GitHub, Notion, and Jira.

A Git-based CMS for static site generators, packaged as a pnpm workspace with install, build, test, and demo instructions, plus documentation for usage and configuration.

A macOS menu bar app that shows remaining Claude 5-hour and weekly usage limits locally, without reading tokens or calling an API.

A non-destructive compression gateway for AI coding agents that sits between the agent and the LLM API to reduce token usage while keeping original content recoverable on demand.

Bb is an agentic IDE that can control itself, with a desktop app, CLI, web app, and HTTP API for orchestrating coding agents and running work in live threads.

ARF defines a JSON record format for AI evaluation runs with canonicalization and reproducible SHA-256 digests, so scores can be traced back to the underlying question, model, inputs, and judgment.

XSAF is a small, fetch-native TypeScript framework for building secure AI agents. The page shows its core API, agent lifecycle, tool pipeline, MCP support, session handling, and offline testing story.

Preseason tracks which developer tools AI models recommend for a fixed panel of vibe-coding prompts, and publishes rankings across categories like auth, databases, queues, hosting, analytics, and LLM observability.