Developer Tools AI Tools

Spens is a developer tool for running coding agents in sandboxed Docker containers with network controls, secret handling, and detailed logs of LLM calls, tool use, and file changes.

Open-source orchestrator for running coding agents like Claude Code, Codex, and OpenCode in parallel on a laptop or VPS, with task queues, worktrees, checks, and a web cockpit.

A local sandbox for running LLM-generated code from Python or Node with no cloud, no daemon, and strong isolation controls.

A free AI usage and quota monitor for Codex, Claude Code, and Gemini CLI. It surfaces activity, remaining limits, reset timing, and trend views across desktop and mobile.

Weekly tracking for whether ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude cite your site, name your brand, or leave you out. The page shows pricing, the report structure, example outputs, and how the system works.

A Windows tray app for monitoring Claude Code usage limits, remaining context, and history, with alerts, charts, and local storage.

DrivingBench is a benchmark that tests frontier LLMs on real-world driving tasks in a Toyota Corolla with a cone course, leaderboard, run traces, and replay videos.

A local proxy that inspects LLM requests and attachments for secrets before they reach the model, with redaction, rejection modes, and local attachment decoding/OCR.

Evidence-based grading for Claude Code skills, agents, slash commands, MCP configs, and plugins, with file-and-line findings, scorecards, badges, and a local/CI workflow.

A Claude Code plugin and MCP-based project-state tool that keeps decisions, constraints, rejected paths, and other session context versioned in git so AI sessions can resume consistently.

Errand is an open-source macOS app for working with persistent AI teammates that each have their own cloud computer, conversation history, and files. The page shows the product purpose, how it works, download availability, and a visible FAQ explaining setup and runtime requirements.

aclif is an open-source Agent CLI framework for building command-line tools that AI agents can use across SaaS platforms. It emphasizes one shared grammar, canonical names, introspection, safety metadata, and multiple runtime modes including shell, tool call, and gateway.

A C++ OpenAI-compatible LLM gateway designed for very low latency, with support for translating requests to providers like Anthropic, Gemini, and Cohere.

Open-source execution runtime for production agents. It records tool and LLM calls as durable steps, supports resume after interruption, and lets teams allow, deny, or approve steps with human oversight.

A macOS menu-bar app that supervises MCP servers so multiple editors and clients can share one running server per profile, with credentials stored in Keychain and tool calls recorded.

Stroq is a local action firewall for AI coding agents. It scans tool output, marks risky sessions, blocks dangerous follow-up actions, and keeps a hash-chained audit log, with support for Claude Code, Cursor, Codex, Copilot CLI, Windsurf, OpenClaw, and MCP clients.

A headless Roslyn/MSBuild indexer for C# that gives coding agents compiler-resolved usage, reference, inheritance, and override data across projects.

Bastiontrace is a Python library for analyzing AI agent tool-call traces to locate prompt injections, identify where they landed, and map the resulting blast radius.

Open-source pixel-art mission control for Claude Code agents. It turns projects into offices on a campus map, shows live agent status and spending, and lets you orchestrate tasks across workspaces from one desktop app.

dbq is a CLI for coding agents to run read-only SQL against Oracle, MySQL, Postgres, and SQL Server with token-light output and built-in safeguards.

Ante is a self-contained coding agent for the terminal with local model support, multi-agent orchestration, and programmatic server modes. The docs highlight offline operation, low resource use, public benchmarks, and integrations for providers, MCP, Slack/Discord, and custom engines.

An evidence-aware mathematics runtime for LLMs and a Python/MCP server. It combines exact, symbolic, formal, certified-interval, and numeric computation with typed outputs, trust labels, and provenance tracking.

Reference implementation for building and understanding AI evaluation systems, including rule-based evaluation, human review, LLM-as-a-Judge, online evaluation, and experiment comparison for a flight search app.

A macOS desktop product for running multiple coding agents in parallel from one workspace, with shared accounts, memory, and skills. The page also highlights Lanes Link, an MCP-based endpoint for connecting agent clients to accounts, context, and access profiles.