Recently Evaluated

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

Lightweight AI inference engine written in Rust for embedding local LLMs in mobile and desktop apps, with bindings for Python, Flutter, and React Native.

An open-source experiment that adds a small zero-initialized overlay layer to a frozen GPT-2 so its behavior can be adjusted at inference time without retraining the base model.

Aurra is memory infrastructure for AI agents, with bi-temporal versioning, source-cited memory history, and an automatic supersession feature that uses an LLM classifier to decide when new facts replace old ones.

faz is a safety layer for AI agents that query databases. It sits between the agent and your data, adding RBAC checks, SQL/AST inspection, injection detection, guardrails, audit logging, and MCP/REST access.

An open-source project for making AI research agents legible, auditable, and traceable through behavioral code and event logs.

Open-source security scanner for AI agents, MCP servers, and agent skills. It auto-discovers installed agent components and checks them for prompt injection, tool poisoning, secrets, malware payloads, and related risks.

A CLI proxy that lets Claude Code run against DeepSeek V4 Pro, OpenRouter, Fireworks AI, or Anthropic-compatible backends while keeping the same agent workflow.

A web app that takes an uploaded track or URL and transforms it into a Panama-style remix using AI-driven stem separation, harmonic mapping, and audio rendering.

An open-source Llama2 inference engine written in x86 real-mode assembly that fits in 1277 bytes and can boot directly from disk before any OS loads.

GrimmBot is an open-source autonomous AI agent that runs in a sandboxed Docker container, with persistent memory, task scheduling, browser control, and the ability to create custom tools over time.

A Microsoft Word task pane add-in that embeds a Pi Agent-powered assistant for M365 Word, with production and local sideloading manifests plus build and test instructions.

Open-source AI infrastructure project focused on GPU memory management and serving, with a Python control plane, C++ data plane, and optional CUDA kernels.

An open-source CLI for testing LLM prompts across consistency, latency, cost, and behavior, with HTML reports and support for OpenAI and Anthropic.

Vennio is an API for scheduling and booking infrastructure. It lets developers and AI agents check real availability, propose times, create bookings, handle calendar integrations, send confirmations, collect payments, and sync to CRMs.

An open agent-identity protocol with a shipped reference implementation, TypeScript SDK, conformance test vectors, and protocol docs for identity, discovery, payments, and audit flows.

Runtime governance and containment for AI agents. Faramesh sits between an agent and its tools to enforce policy checks, approval steps, credential isolation, and tamper-evident audit logs before risky actions execute.

A Claude Code plugin that learns from user corrections and successful runs, then turns them into reusable rules and playbooks stored locally.

A GitHub repo for evaluating agentic AI pipeline systems, with guidance for defining metrics, building eval cases, running repeatable tests, and tracking regressions.

A metadata-first trust control plane for authorized security workflows, evidence retention, release trust, and business-flow proof. The repository includes role-based docs, quick-start commands, safety boundaries, and release-trust materials.

A ~1000-line C workflow runtime where an LLM can modify a DAG during execution using a restricted four-verb grammar, with every change written to an append-only audit log for replay and inspection.

Open-source agile planning and orchestration layer for AI coding agents, with bidirectional sync to Claude Code, AI-generated user stories, sprint planning, and a self-hosted CLI workflow.

An Apple Silicon–optimized inference build of Bonsai 1.7B with custom Metal kernels, benchmark results, quick-start instructions, and a bundled OpenAI-compatible server.

A hands-on workshop repository that walks developers through building a small GPT-style language model from scratch, including tokenization, transformer blocks, training, and text generation.