MCP

Local-first agentic coding assistant in Rust with a terminal UI, embedded web UI, phone app, always-on gateway, and LAN grid dispatch across multiple machines.

CLI for installing, switching, and managing collections of agent skills and agent-specific configurations across multiple coding tools.

An API for mapping hex values, palettes, and images to named archive colours, with deterministic colour metrics, accessibility checks, cultural risk notes, and MCP support for agents and chat tools.

A demo for running the Odysseus self-hosted AI workspace on throwaway islo.dev microVMs in one command, with both a clickable live app path and an agent tool for running code on disposable boxes.

A macOS utility that compresses screenshots locally and copies them to the clipboard for use with coding agents like Codex and Claude.

Open-source security scanner and firewall for MCP servers. It scans configs for common MCP risks, enforces runtime policies on tool calls, and produces audit logs, with CLI commands, policy examples, and a programmatic API.

VAEN is a CLI for packaging AI coding-agent setups into portable .agent archives and importing them across repos or teams without copying instructions, skills, MCP config, or secrets.

Local-first memory layer for coding agents with an MCP server, CLI, and desktop console for durable project context, handoffs, and recall across sessions.

A secure Model Context Protocol server that gives AI assistants controlled terminal access with risk analysis, sandboxing, logging, filesystem protection, and optional Docker and Git features.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

Open-source local compute fabric for AI agents. It runs a single-node K3s stack through Docker Compose, provisions isolated Ubuntu sandboxes, and exposes native MCP support for local agent workflows.

Logbox is a developer tool that captures dev server logs and exposes them through an MCP server so coding agents can search and inspect logs directly.

A CLI guard for MCP stdio servers that checks for stdout pollution, handshake failures, invalid JSON-RPC frames, and startup/runtime issues before clients hit them.

A repository of Claude plugins, managed-agent cookbooks, and connectors for legal workflows like commercial review, privacy, litigation, IP, and regulatory work.

AgentKanban is a VS Code task board for agentic coding workflows, capturing Copilot chats and task context so work can be resumed, shared, and tracked across sessions.

A cognitive memory engine for AI agents with temporal decay, contradiction detection, autonomous consolidation, knowledge graph support, and ANN recall via HNSW. The repo shows Rust and Python usage, MCP client setup, and a quick-start path for agents and developers.

MCP server that lets AI coding agents work inside isolated dev containers using local Docker, DevPod, or GitHub Codespaces. It exposes tools for auth, workspace management, command execution, and container lifecycle handling.

A Codex browser plugin and MCP tool that captures live UI edits as structured implementation intent, with a local collector, installer scripts, and move-mode snapping for precise visual changes.

A local control plane for coding agents that gates risky actions, records structured traces, and can replay sessions under different policies.

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

A self-hosted TypeScript harness for building provider-neutral LLM agent systems inside an application or platform, with typed agent and workflow runtime, tool support, state, tracing, and example workspaces.

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

A security product for Claude Code that reviews application architecture inside the IDE via MCP, with contextual assessments, prioritized mitigations, and continuous re-checks as the codebase changes.

AgentRQ is a human-in-the-loop task management platform for AI agents, with MCP-based integrations, real-time notifications, and a Vue/Go stack for collaborative workspace workflows.