Waku

Waku Agent is an open-source, local-first personal assistant and AI-agent harness built by seanchen.io. It runs on a laptop through a terminal, local browser dashboard, voice input, or Telegram gateway, and is organized around four components: a harness for tool execution, an approximately 95-line plain-Python agent loop, memory, and evaluation/LLM operations. Its memory uses semantic, episodic, and procedural stores in a local SQLite database, with a gate that decides whether to retrieve or save memory and a pass that determines what to retain. The project includes deterministic tests alongside LLM-as-judge evaluation with a release gate. The dashboard displays message flow through the harness, including gate decisions, tool calls, loop iterations, memory updates, traces, costs, and latency; it also includes views for workflows, tools and MCP connectors, memory, and the SQLite state database. It can be installed with pip and exposes the `waku` command. The dashboard runs a local web server at `127.0.0.1:7777`, and the Telegram gateway starts when `TELEGRAM_BOT_TOKEN` is configured. Model providers are selected through a provider setting and API key, with support stated for Anthropic, OpenAI, Gemini, DeepSeek, MiniMax, Kimi, GLM, OpenRouter, OpenCode Zen, and OpenCode Go.

Wake is a native desktop application that gathers coding-agent sessions from local data directories into a single searchable library. Built with Rust and GPUI, it reads supported agent histories read-only, groups them by agent and project, watches files for incremental updates, and indexes transcripts with SQLite FTS5 trigram search, including code substrings and CJK text. Its transcript view renders messages, collapsible tool-call clusters, thinking summaries, and syntax-highlighted code. Wake can resume supported conversations in a terminal at the original project directory, and also provides session management, Markdown export, deletion with tombstones, and library statistics. Data remains local; the application does not make background network requests and only contacts GitHub when an update is explicitly checked. It is macOS-first, with experimental Linux support and experimental Windows support.

Multi-Agent Workbench is a local-first browser control room for orchestrating coding agents such as Claude Code, Codex CLI, and generic PTY-based command-line agents. Agents work in task rooms under editable YAML role cards that define permissions, speaking style, and decision boundaries; a rule-driven orchestrator pauses execution and risky commands for human approval, while persistent sessions expose terminal activity and status. The system uses a local event-driven architecture with a React interface, Fastify backend, REST API, server-sent events, agent adapters, an approval service, and a SQLite event store. Every action passes through the API and is recorded in an append-only event log, whose events are projected into timelines, decisions, terminal views, artifacts, and diff views. It also provides task templates, Markdown reports and decision logs, real-time room updates, and configurable risk resolutions. Code-writing agents are intended to use isolated Git worktrees, with diff and patch review before changes reach the main workspace; the repository marks this worktree and merge flow as in progress.

Mr. Mak Workspace is a local Windows desktop workspace for Codex CLI and Claude Code CLI. It combines real CLI chats with a project workspace for folders, research, images, files, Markdown documents, project reports, and saved project materials. The application provides chat history and tabs, agent activity indicators, file and folder insertion, project cards, previews for media files, and a right rail for project skills, knowledge, workflows, MCP connections, settings, and help. The repository includes fourteen project skills covering areas such as planning, handoffs, image references, media generation, Three.js, Blender, video inspection, and dictation. It can also provide an optional voice coordinator using Codex CLI and an OpenAI API key; external providers and MCP connections are optional and use the user's own accounts. The Windows installer includes the local Node service but does not bundle the supported CLIs or provider accounts. The native application targets Windows x64, while browser report previews can run elsewhere. Application code and original workflow documentation are MIT-licensed, with third-party skill materials retaining their original licenses.

Munder Difflin is a free, open-source desktop multi-agent harness that runs multiple terminal-based AI coding agents as coordinated local agents. It wraps agents including Claude Code, OpenAI Codex, Gemini CLI, Qwen, OpenCode, GitHub Copilot CLI, and custom commands, working with users' existing subscriptions and hourly usage limits. Each agent runs as a real node-pty process and is rendered through xterm.js, while an Electron and React interface displays sessions as avatars on a Pixi.js office floor. A GOD orchestrator called Michael assigns and routes work, adjudicates agent messages, and escalates spending, destructive operations, scope changes, and other configured approvals. Agents coordinate through a local Git-backed hive of plain-file memory, atomic mailboxes, a shared blackboard, and an append-only event log; a markdown-first semantic memory layer supports recall across sessions. Optional Git worktrees isolate parallel agents.