AI tool

An autonomous audit-fix-verify loop for Claude Code that runs iterative code improvements with verification gates and a public journal of runs.

Doubt is an open-source, zero-dependency CLI and Agent Skill for turning contested questions into source-grounded evidence maps with supports, contradictions, unknowns, and portable HTML output.

A lightweight API key proxy for self-hosted llama.cpp servers with per-user token usage tracking, rate limiting, and multi-server routing.

A local-first TypeScript toolkit for crash-testing AI agents and MCP servers, replaying failures deterministically, and turning broken traces into regression tests.

Engram is an open-source learning engine for Claude Code and other agentic coding platforms. It turns AI help into a study loop with tutor-style prompts, blind recall checks, and spaced-review scheduling so concepts stick longer.

A local merge queue for parallel Claude Code agents that serializes landings, builds, and test runs to avoid push races and shared-resource flakiness.

A private, local-first AI voice journal that turns notes into structured memory you can query later. It focuses on grounded recall across your own entries, with voice capture, semantic search, export controls, and mobile apps for iPhone and Android.

Headroom is a macOS menu bar app that compresses noisy prompt context before it reaches Claude Code and Codex, aiming to cut token usage by about 50% while keeping the original retrievable on demand.

Forkbench is a native Mac control room for running multiple coding agents in parallel, each in its own git branch, from a single board. It adds shared coordination, notes, secrets handling, worktree controls, and remote oversight for supervising agent-heavy workflows.

CMEM is an AI agent memory layer for coding agents, with an open-source local engine and a managed cloud service that syncs observations through a private MCP link. It supports Claude Code, Cursor, Windsurf, Codex, Gemini CLI, and other MCP clients.

Desktop app for running CLI coding agents like Claude Code and Codex in parallel git worktrees, with built-in diff review, multi-repo support, broadcast, and sandboxing.

cloro is an API for scraping and structuring results from search and AI search surfaces like ChatGPT, Gemini, Perplexity, Copilot, Google Search, and AI Overview. The page shows request and response examples, supported models, pricing tiers, and claims of parsed markdown, sources, and citations.

Open-source, self-hosted MCP knowledge server for AI agents that adds read-only access to company data, preserves business context, and can publish live dashboards as apps.

A public MCP server from PixelGust that lets Claude, Cursor, and other MCP clients query live weather, forecast, climate history, terrain, fire risk, flood susceptibility, and related environmental data.

Open-source causal-graph memory for AI agents with MCP support, scoring, active forgetting, and benchmark results published in the repo.

A 30-second WebGPU benchmark that measures a device’s memory-bandwidth ceiling for local AI and checks for a WebGPU subgroup correctness bug, with receipts, projections, and comparison data.

CodeTrain is a hands-on AI coding trainer that teaches developers on their own codebase by making them write each step themselves, with hints, test runs, and progress tracking.

Aloud is a macOS tool that reads Claude Code and OpenAI Codex replies out loud using local text-to-speech. It includes session-level controls, keyboard shortcuts, hook integration, and a clear install flow for developers.

Open-source, agentic AI code security tool from Capital One that analyzes source code for exploitable defects, traces attack paths, and proposes targeted remediations.

API-first uptime monitoring with REST, GitHub Action, and MCP support so developers and AI agents can create monitors, check status, and route incidents from the tools they already use.

Coasty is a computer-use API for running autonomous tasks on managed Linux or Windows machines, building multi-step workflows, and dropping down to lower-level prediction primitives when needed.

NeatContext is a local-first desktop workspace that adds team-specific knowledge and read-only internal tools to LLMs so they can give grounded operational answers. The page shows incident-response examples, Markdown-based profiles, MCP integration, and support for multiple model providers.

Open-source self-hosted voice AI agent for Asterisk/FreePBX with Audiosocket/RTP support, a modular STT/LLM/TTS pipeline, and quick-start docs for deployment.

Kastor is an open-source Go toolchain for defining AI agents, tools, and prompts in HCL. It treats agents like versioned infrastructure, with build, plan, and apply workflows, code generation for frameworks like LangGraph, and drift-aware management on hosted platforms.