Recently Evaluated

Rinkata is a shared project context layer for teams using coding agents, with knowledge capture, goal tracking, decision handling, and evidence packs for completed work.

A Hugging Face paper page describing a memory layer for LLMs that stores KV state to encrypted NVMe and reloads it later without recomputing, with results from 50M-token experiments on Gemma models.

Aura is a self-hosted, multi-user AI agent in Go with temporal graph memory, scheduled jobs, MCP tools, and multi-channel access through CLI, web, Telegram, and WhatsApp. The repo shows a full product surface with Docker Compose deployment, local/provider model options, memory, retrieval, and sandboxed operator workflo

An iPhone and iPad SSH terminal built for monitoring and responding to AI agents, with sealed agent notifications, Secure Enclave keys, and live panes for workspaces and tabs.

An open-source Pac-Man benchmark where AI decision models compete in real time against scripted ghosts, with a public leaderboard, replayable games, and instructions for benchmarking your own endpoint.

A macOS CLI and skill for Claude Code/Codex that lets AI agents draw arrows, boxes, and text on the screen to guide a human during prompts, approvals, and demos.

An agent-facing service marketplace for discovering capabilities, requesting work, paying for quote-based services, and verifying results with receipts. The page highlights MCP access, multi-agent interoperability, and several service families including verification, intelligence, risk, and transactions.

Search2o is a Python package for running searchable AI agents inside an organization, with a REST API, bundled GUI, and support for self-hosted or vendor LLMs.

An MCP server for background computer use by agents. It can start app sessions, drive windows with mouse and keyboard actions, capture screenshots, inspect UI trees, and run scripted recipes across macOS, Linux, and Windows.

Open-source agent skills for Claude Code, Cursor, Codex and other coding agents that audit SaaS stacks, compare vendors, and surface plan-limit, billing, overlap, and compliance issues using live vendor pricing pages.

Botscent is a lightweight library that detects AI agents visiting a site and can identify which agent is behind a request when evidence is available. It includes both a server-side signal check and a small client-side script, with docs, FAQ, and GitHub links shown on the page.

Favz indexes public GitHub repos to show which MCP servers, skills, plugins, and agent configs people actually set up. It tracks rising tools, compares stars with real usage, and includes a CLI/plugin angle for monitoring your own setup.

Singularity is a developer tool that gives coding agents procedural memory so repeated tasks can be handled with fewer tokens and less setup. It includes a CLI, installer scripts, hooks for multiple agents, and workflow records that learn from past sessions.

A self-hosted, local-first chat workspace for OpenAI-compatible models with built-in MCP tools, web search, and long-term memory.

Official implementation of LittleBit and LittleBit-2 for sub-1-bit LLM compression via latent factorization and quantization-aware training.

Local-first Node tool that reads Claude Code and Codex logs to price AI coding-agent usage by repo, model, or client. It also supports billing markups, JSON output, and an MCP server for asking agents what their work cost.

A Mac app that centralizes engineering alerts from tools like GitHub, Sentry, Jira, Linear, Datadog, and Vercel, then lets you hand issues off to AI coding agents such as Claude Code, Codex, or Cortex Code.

VoiceGremlin is a CI/CD testing tool for AI voice agents that places real phone calls, evaluates results through an API, and returns pass/fail outcomes with transcripts.

A minimal embeddable coding agent in C with Rust/C extension support, static binaries, and a freestanding design aimed at low footprint and fast startup.

A prototype that turns a Nokia 110 4G into a chat-driven AI device, with actions like calling, alarms, torch control, battery checks, and SIM data queries.

A browser-game playing agent that uses an LLM to train per-game rules and then makes live decisions through either a hosted engine (Jev) or a local engine (Laya).

Open-source semantic layer for warehouses that infers table, column, join, and business-rule metadata, then serves it to AI agents through MCP and CLI checks.

An open source headless SaaS backend built for agents and assistants, with records, files, accounts, permissions, notifications, and audit logs accessible through MCP, CLI, or API.

A CROWDB blog post showing how to run an Iceberg table stack in one Docker container, write sample data with PyIceberg, and inspect the results in pandas and the local console.