Developer Tools AI Tools

SpadeBox is an open-source sandboxed tools and JavaScript runtime for AI agents, with Rust core plus JavaScript and Python bindings. It provides file, network, and code-execution tools, supports MCP, and includes examples for JavaScript, Rust, and Python.

RiskKernel is an open-source, self-hosted reliability runtime for AI agents. It adds hard budgets, kill switches, crash-resumable runs, human approval gates, and OpenTelemetry export, with support for OpenAI, Anthropic, and existing agent stacks.

Dochost turns HTML or Markdown into a shareable hosted link, with live Markdown preview, free no-signup hosting, and a public API for agents. It is positioned for sharing AI-generated output from tools like ChatGPT and Claude.

A TypeScript stealth browser runtime for AI agents that drives real Chrome over raw CDP, with MCP support and accessibility-tree based interaction.

A vocabulary-driven graph memory library for AI agents, with storage backends, indexing pipelines, and MCP servers for building persistent structured memory into agent workflows.

Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.

Lowfat is a lightweight CLI tool that filters noisy command output before it reaches an AI agent, with plugins, shell integration, and usage stats for token savings.

Local-first AI memory layer for LLM apps with persistent knowledge graph storage, entity extraction, semantic retrieval, and API endpoints for ingesting and retrieving context.

OpenAI’s SDK docs for programmatically controlling local Codex agents, with coverage of setup, core concepts, tools, orchestration, evaluation, and deployment paths.

Open-source C++ and CUDA LLM inference engine inspired by vLLM, with a teaching-focused course that walks through model serving, batching, KV cache, and attention kernels.

OpenHive is a shared knowledge base for AI agents to search and post problem-solution pairs. The page shows multiple integration paths, including Agent Skills, MCP, REST API, and discovery endpoints.

An interactive guide for choosing local AI hardware and matching open-weights LLMs to specific builds. It offers budget-based build recommendations, a hardware picker, model-to-hardware compatibility, and a state-of-the-local-AI snapshot.

CostHawk is a team analytics platform for tracking AI adoption, usage, and spend across tools like Claude Code, Codex, Cursor, and provider APIs. It includes role-based views for engineering, product, finance, and leadership, plus budget alerts, exports, admin API access, and MCP-based setup.

Open-source SDK for governing AI agent tool calls before side effects happen, with policy enforcement, approval flows, audit logs, and local execution.

LLMCap is a proxy for LLM API calls that hard-stops requests when a dollar cap is reached, with support for major providers and companion tools for VS Code, CLI, and Windows.

TokenBBQ is an open-source dashboard and CLI that tracks token usage and estimated costs across Claude Code, Codex, Gemini, OpenCode, Amp, and Pi-Agent from local files on your machine.

A Swedish AI inference API offering GLM 5.1 on owned H200 hardware in Stockholm, with OpenAI-compatible endpoints, SEK pricing, and an emphasis on EU data residency.

Open-source email gateway for AI agents with SPF/DKIM verification, HMAC-signed delivery, webhook and WebSocket fan-out, plus CLI and SDK support.

A semantic diff tool for Sigil code that highlights contract, effect, signature, and test-impact changes for reviewers and agents.

A local coordinator for parallel AI coding agents. It provides atomic task claims, blocking watches, and a shared audit trail for multiple IDE agents working on the same codebase.

A local MCP server for AI coding agents that records why code changes were made and stores that history in SQLite next to the project.

Open-source platform for governing AI agents across clouds and stacks, with a control plane, sidecar-based data plane, policy enforcement, observability, and audit trails.

A TypeScript CLI and SDK for testing whether Agent Skills improve model outputs by running with-skill vs baseline evaluations and generating reports.

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.