Waku Agent

Waku is a native desktop app for working with local coding agents. Built in Rust with GPUI, it keeps projects, sessions, transcripts, and application state on the user's machine, while detecting supported agent CLIs and using each provider's native structured protocol and session continuity. Its interface supports independent project sessions, model and reasoning settings, queued or directed follow-up messages, and Git-backed task rewind with conversation-aware checkpoints. The desktop app communicates with a standalone waku-daemon over an authenticated, versioned WebSocket protocol. The daemon manages task data in SQLite, attachments, provider-native session forks, workspace files, and Git operations; a browser client uses the same generated protocol. Waku is distributed for macOS, Linux, and Windows, with no Waku account or remote service required.

CowAgent is an open-source AI assistant and agent harness developed by LinkAI. It plans complex tasks step by step, runs tools and skills, controls computers and external services, maintains long-term memory and a personal knowledge base, and supports multi-agent teams with separate roles, models, skills, knowledge, and workspaces. Its architecture routes messages from web and messaging channels through an agent core that reasons over available models, tools, skills, memory, and knowledge before returning a response. Memory uses a three-tier structure of conversation context, daily memory, and long-term MEMORY.md, with a nightly Deep Dream process that distills memories; the knowledge base is an automatically curated Markdown wiki with cross-references and a browsable knowledge graph. Built-in tools include file and terminal operations, web fetching and search, scheduling, memory retrieval, vision, and browser automation, while MCP servers can be added through configuration. Skills can be installed from the Skill Hub, GitHub, ClawHub, or URLs, or authored through conversation. CowAgent supports multiple LLM providers and routes chat, vision, image generation, speech, and embedding workloads separately. It can run locally, in Docker, on a server, or through its macOS and Windows desktop client, with a web console for configuration and a command-line interface for service and skill management. The project is licensed under the MIT License and was formerly named chatgpt-on-wechat.

Hermes Agent is a self-improving AI agent developed by Nous Research. It provides a CLI and terminal interface, messaging gateway, and desktop interface for interacting with language models, operating terminals and browsers, and maintaining continuity across sessions. It supports model providers including Nous Portal, OpenRouter, OpenAI, and custom endpoints, along with terminal backends including local execution, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. Its learning loop creates and improves skills from task experience, stores persistent memories, searches previous sessions with FTS5 and LLM summarization, and builds user profiles through Honcho. It can delegate parallel work to isolated subagents, run Python tool-calling scripts through RPC, schedule unattended jobs with a natural-language cron scheduler, and deliver results through Telegram, Discord, Slack, WhatsApp, Signal, email, and the CLI. The terminal interface includes multiline editing, slash-command completion, conversation history, interrupt-and-redirect controls, and streaming tool output. It also supports voice-memo transcription and cross-platform conversation continuity.