agent tooling

Open source inference engine for agents that self-tunes on the user’s hardware to run open models faster, with desktop app support and one-click connections to popular agents.

Linux command runner that kills every process started by a command and verifies cleanup before returning. Built for AI coding agents and CI jobs, with enforced cgroup mode, fallback process scanning, time and resource limits, and JSON run records.

A gated publishing engine for agent-generated HTML and Markdown. It gives teams a permanent, authenticated URL for artifacts produced by agents, with support for CLI, MCP, browser, comments, versioning, and company SSO.

A CLI that turns websites into compact, numbered views for AI agents so they can browse pages with far fewer tokens. It includes install steps, command examples, supported sites, and benchmark notes.

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.

A self-hostable SMS relay for AI agents that uses an old Android phone and a prepaid SIM, exposed over MCP so clients like Claude, ChatGPT, and Cursor can send and receive real texts.

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

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

Open-source self-hosted inference server for agent workloads, with an OpenAI-compatible API, multi-model serving, and production cluster tooling.

ContextIQ is a suite of AI engineering tools for inspecting context, agent workflows, protocol support, and payment or identity checks for AI systems. It includes inspectors for MCP/A2A/ARD, RAG chunking, traces, memory architecture, OIDC, DNS, x402, and ERC-8004.

Local AI memory observability and security tool for inspecting, auditing, and rolling back what agents remember about you.

A portal layer that unifies multiple MCP servers behind one endpoint so AI clients can connect once and use three meta-tools instead of dozens or hundreds of exposed tools.

An MCP server for GoCD that lets AI agents inspect and operate pipelines using per-user GoCD personal access tokens. It exposes read, action, and destructive toolsets, plus resource URIs for dashboard, agents, and pipeline data.

A repo for keeping coding agents from overengineering by injecting a ruleset during coding and running a slop-check after edits. It supports multiple agent setups, including Claude Code, Codex, OpenCode, Cursor, Copilot, and generic AGENTS.md-based workflows.

brw is a semantic browser control tool for agents. It runs a real visible Chrome/Chromium browser and exposes control through MCP and HTTP, with stable refs, semantic page snapshots, and post-action observations.

MCP-first SaaS tools for AI agents, including URL shortening, pastebin, mailbox, reminders, and file sharing. The page shows both MCP and REST API access, plus example setup commands for several agent and coding tools.

A persistent memory layer for AI agents, built as a standard MCP server with local setup, dashboard, and benchmark claims against other memory tools.

Turns Mermaid diagrams into deterministic explanatory text for coding agents, with benchmark evidence and multiple install/use paths shown on the page.

Mouse is a precision file-editing tool for AI coding agents. It adds coordinate-based editing, staged changes with atomic rollback, and richer tool responses to help agents make safer file edits.

KINETK is an AI infrastructure product that turns social-web content into a real-time IP graph for creators, communities, and narratives. The site highlights an API and MCP for agents, multimodal embeddings, and a query layer for grounded retrieval.

Galahad is an AI memory layer that saves and restores model KV cache, supports document recall, and plugs into vLLM, SGLang, and llama.cpp. The page also shows agent features like replay, branching, rewind, and fault-finding.

A GitHub repo of skills for AI agents that help reduce generated UI and writing slop. It includes separate skills for UI and writing, plus install commands for common agent tools.

A lightweight SQLite FTS5 memory layer and MCP server for Google Antigravity agents, with CLI tools for storing, searching, and syncing facts.

A blog post describing ptc_runner’s MCP server and code-mode approach, where agents run short-lived untrusted programs inside a small Lisp REPL instead of Python or JavaScript.