Why compare these two
Rowboat and CowAgent are both open-source AI assistants with long-term memory, and both came onto our radar through GitHub. Beyond that they solve different problems. Rowboat is a desktop coworker. It reads your email, meetings and Slack and turns them into a linked knowledge graph on your own machine. CowAgent calls itself an "open-source super AI assistant and Agent Harness". You install it on a laptop or server, plug in the model provider of your choice and reach it through Telegram, Slack, WeChat, a web UI or the terminal.
If you want an AI that remembers your work and acts on it, you have to pick between these two designs. The one that suits you depends on where your context lives and who will maintain the setup.
What each tool is
Rowboat
Rowboat's GitHub README describes a "living knowledge graph" that indexes email, meetings, Slack and conversations into Obsidian-style backlinked notes. The notes are stored locally as plain Markdown. On top of that graph sit several surfaces: an email client that drafts replies to important messages, a meeting note-taker with live transcription, an isolated built-in browser for web tasks, a code mode for running coding agents in parallel, and background agents that fire on events or schedules.
Per the README, it runs local models through Ollama or LM Studio, or hosted models with your own API keys. Tools connect over MCP, and Gmail, Calendar and Google Drive are one-click integrations. The project is Apache-2.0 licensed, backed by Y Combinator, and had roughly 18,000 GitHub stars when we scored it. There are desktop builds for Mac, Windows and Linux. Rowboat has also added Spaces, a shared team workspace where each member runs their own local assistant. That multiplayer claim comes only from the vendor so far.
CowAgent
CowAgent's site describes an agent that plans tasks, runs tools and skills, and builds up memory over time. Memory has three tiers (context, daily and core) with vector retrieval. Skills install in one click from Skill Hub, GitHub or ClawHub. MCP is native to the tool system, and the site also mentions multi-agent teams with role-based delegation.
The model list covers 10+ providers: OpenAI, Claude, Gemini, DeepSeek, MiniMax, GLM, Qwen, Kimi, Doubao and LinkAI. The channel list is longer still: Telegram, Slack, Discord, WeChat, Feishu, DingTalk, WeCom, QQ, Official Accounts, Web and Terminal. You install it with a one-line curl script on Linux or macOS, a PowerShell script on Windows, or Docker Compose. A desktop app is available too. The code is MIT licensed, and the GitHub repo had 47,158 stars and 10,375 forks when we scored it.
Feature comparison
| Feature | Rowboat | CowAgent |
|---|---|---|
| scored.tools rating | 6.6 / 10 | 7.8 / 10 |
| Licence | Apache-2.0 | MIT |
| Core idea | Desktop coworker built on a local knowledge graph | Self-hosted agent harness with skills and memory |
| Platforms | Desktop app for Mac, Windows, Linux | Linux/macOS script, Windows PowerShell, Docker, desktop app |
| Memory model | Backlinked Markdown knowledge graph, stored locally | Three tiers (context, daily, core) with vector retrieval |
| Models | Local via Ollama or LM Studio, or your own API keys | 10+ providers incl. OpenAI, Claude, Gemini, DeepSeek, Qwen |
| Where you talk to it | The desktop app (email, meetings, browser, code mode) | Telegram, Slack, Discord, WeChat, Feishu, DingTalk, Web, Terminal and more |
| Built-in work surfaces | Email client, meeting note-taker, built-in browser | None of these; it runs tasks through skills and tools |
| MCP support | Yes | Yes, native |
| Extensibility | MCP tools, background agents | Skill Hub, custom skills, multi-agent teams |
| Team features | Spaces (vendor-described) | Group chat channels; Enterprise offering referenced |
| GitHub stars at scoring | About 18,000 | 47,158 |
Scores by criterion
| Criterion | Rowboat | CowAgent |
|---|---|---|
| Output quality | 7 | 8 |
| Ease of use | 6 | 8 |
| Pricing value | 8 | 8 |
| API and integration | 6 | 8 |
| Problem fit | 6 | 7 |
A caveat on output quality. Neither tool has independent output evaluations that we could find, so both scores lean mostly on adoption signals: stars, forks, licence and commit activity. Read them as "lots of people use this" rather than as proof the agents do good work. Rowboat lost points on ease of use because we couldn't find a docs page. It lost points on integration because there's no documented API beyond MCP access. CowAgent scored higher on both thanks to its one-line installer, its docs site and its long list of providers and channels.
Pricing comparison
Both are free to run from source. The difference is in the paid extras.
Rowboat: its pricing page lists a free plan and paid plans from $5 a month, which include one-click integrations and MCP server access. The Apache-2.0 code is free to self-host, and the README describes a self-hostable server for Spaces. With a local model in Ollama or LM Studio, your running cost can be close to zero beyond your own hardware. Rowboat has changed its plans over the beta, so check the pricing page before you commit a team.
CowAgent: the core is free under MIT. What you pay for is the LLM. Whichever provider you choose bills you directly, so a busy agent on a frontier model can cost far more than any subscription. The site mentions an Enterprise offering but publishes no price for it.
On paper the two tie, at 8 each for pricing value. In practice Rowboat is cheaper if you run local models and don't mind a small subscription for the hosted conveniences. CowAgent costs whatever your API usage costs, and you pick that ceiling yourself.
Use case scenarios
Pick Rowboat if your context lives in email and meetings
Say you're a founder or PM and your real work is a stream of Gmail threads, calendar invites and calls. Rowboat is built for that person. The meeting note-taker and email drafts feed the same graph, so the assistant can link a decision from a call to the thread that follows it. Because the graph is plain Markdown on your disk, you can open it in Obsidian, grep it or delete it. That matters given the obvious privacy question with a tool that watches your inbox and meetings. Winner here: Rowboat.
Pick Rowboat if you want local models on a laptop
Rowboat documents Ollama and LM Studio support directly. If your rule is that no work data leaves the machine, that's the shortest path. CowAgent can run locally as well, but its documented provider list is made up of hosted APIs, so check the repo before assuming local-model parity.
Pick CowAgent if you want an agent inside your chat apps
If your team already lives in Slack, Telegram, Feishu or WeChat, CowAgent meets them there. No other open-source agent we've reviewed lists a wider set of channels, and coverage of WeChat, DingTalk, WeCom and QQ makes it the clear choice for teams working in China. Winner here: CowAgent.
Pick CowAgent if you want a 24/7 server agent you can extend
CowAgent ships Docker Compose and a one-line installer, so you can put it on a VPS and leave it running. The skills system and multi-agent teams give developers a proper place to add capabilities, and the 10+ provider list lets you change models without rewriting anything. Expect to own the server, the API keys and the upgrades. Our tool data also flags that some community material is mainly in Chinese, which may slow down English-only teams.
Small teams sharing context
Rowboat's Spaces is the more interesting design, with each person's local assistant posting into shared channels. It's also new and so far only vendor-described. CowAgent in a shared Slack channel is the more proven route today. We'd lean CowAgent for now and check back on Spaces.
Verdict
CowAgent wins overall at 7.8 against 6.6. It's easier to install, it connects to far more models and channels, and its adoption on GitHub is well ahead (47,158 stars against about 18,000). For developers who want a self-hosted, model-agnostic agent they can reach from any chat app, it's the default choice.
Rowboat wins one specific job: building a private, local memory of your email, meetings and documents, then acting on it from a desktop app. No feature on CowAgent's list matches the built-in email client and meeting note-taker writing into a Markdown graph you own. The product is still young and the docs are thin, and that's why its score is lower. If that workflow is the one you need, Rowboat is the one to install.
