Aider is an open-source AI pair-programming tool that runs in a terminal and edits files in a Git repository. People search for “aider security mac”, “is aider safe” and “aider network access” because it sends code context to whichever language model they configure. This article summarises what the project documents about installation, analytics and git behaviour, notes where its documentation is silent on the network, and then shows how FireAI, an on-device firewall for macOS made by HisnLabs, watches the connections of an agent that is a Python script.
What Aider is
Aider is maintained by the Aider-AI project, is written in Python and is licensed under Apache-2.0. Its README describes it as a way to start new projects or work in existing codebases alongside language models, with a map of the whole codebase, automatic commits with sensible messages, and support for Claude, DeepSeek, OpenAI models and local models. It can also take images, web pages and voice input, and run linting and tests [1]. The model endpoint is your choice, so your prompts and file context travel to that provider.
How Aider runs on macOS
Aider is a Python program. The installation page recommends aider-install, which creates a separate Python environment for Aider and can install Python 3.12 if needed; the README shows python -m pip install aider-install followed by aider-install. Alternatives are the uv installer, pipx and plain pip, for which the page advises a virtual environment, plus one-line install scripts for Mac and Linux [2]. Whichever route you choose, the process on the Mac is a Python interpreter running Aider’s script.
What it can access and how it is controlled
Aider works on the files of the repository you start it in and commits changes to Git automatically. The pages read for this article do not describe a sandbox or an approval-mode model comparable to those of other agents, so treat the access it has as that of your user account and the directory you launch it from. The README notes that it can fetch web pages, which means the tool itself can initiate requests to sites you name.
Where it connects
The analytics page documents the one background network feature in detail. Analytics are opt-in. When enabled, Aider collects which models are used and with how many tokens, which edit formats and commands are used, and information about exceptions, and it states that it never collects code, chat messages, API keys or personal information. Data goes to PostHog. aider --analytics-disable opts out permanently, and --analytics-log writes what would be sent to a local file for inspection [3]. That page does not cover other traffic, such as the calls to your model provider, so those hosts are whatever you configure.
Watching Aider with FireAI
FireAI is a firewall for macOS that runs on the Mac. Its Agent profile feature recognises 19 AI agents, learns where each normally connects and flags what is new. FireAI’s Agent profile page lists Aider among the agents run by node, bun, deno or python, which FireAI recognises by the script the runtime runs. A Python process running Aider’s script is therefore attributed to Aider, not to a generic python3.
- For the first 3 days FireAI learns the destinations the agent normally contacts, grouped by domain, so api.anthropic.com becomes anthropic.com. Nothing is flagged during this period.
- After that, the first-ever destination outside the baseline is flagged for review in Suggestions, in the AI agents card and in Quick Review. Swipe left to block, or right for “It’s fine”.
- An upload spike is flagged too: an hour in which the agent uploaded at least 4 times its busiest hour so far, and never less than 25 MB.
- FireAI uses metadata only, meaning host names and byte counts. It never reads the payload of a connection.
Setting up FireAI for Aider
- Install FireAI and use the agent as you normally do. The 3-day learning period starts on its own and flags nothing.
- Open Suggestions and find the AI agents card. After the learning period, a flag for the agent appears there and in Quick Review.
- Review each flag. Choose Block to create a rule for the process that connected, or “It’s fine” to add the destination to the agent’s baseline.
- To keep the agent to the places it already uses, choose Agent profile in the security mode menu, next to Home, Coffee shop, Paranoid and Under attack. Your rules apply as in Home, and a connection to a destination outside the baseline is blocked instead of flagged once the agent has finished learning.
- A blocked destination appears in the AI agents card with Allow and Keep blocked. Allow adds it to the baseline and the agent reaches it right away. Keep blocked creates a block rule that holds in every mode.
An allow rule you wrote for a website, domain or address still wins, and DNS and your local network are never blocked. For an agent FireAI does not list, write a rule for its program by hand in per-app rules. The Agent profile mode needs FireAI 1.0.3 or later, and recognition of Aider needs 1.0.4.
Limits
- Because Aider runs under Python, a rule you write by hand on the interpreter would affect every Python program. The Agent profile recognition avoids that for the baseline and flags, which are tied to Aider’s script.
- Aider is recognised by the script the runtime runs, which means it is labelled, not verified: only Claude Code, Claude and Cursor are checked against their developer’s signature.
- FireAI does not stop prompt injection. It limits the damage by flagging, and letting you block, the path data would take out of your Mac.
- FireAI cannot see prompts, the contents of MCP tools, file access or skills. TLS hides the payload, and FireAI is not inside the agent.
- Child processes that exit very quickly may be missed, and they are matched by path, not by signature.
- During the 3-day learning period nothing is flagged, and upload spikes are flagged, not blocked.
- In the Agent profile mode, a connection made to a bare IP address with no host name is matched by its address, so a new address for a service the agent normally uses is blocked until you allow it.
Other agents
The same approach applies to every agent FireAI recognises. See the other guides: Claude Code, the Claude desktop app, Cursor, the ChatGPT Mac app, OpenAI Codex CLI, OpenClaw, Hermes Agent, Gemini CLI, GitHub Copilot CLI, Amp, Qwen Code, opencode, Goose, Crush, Windsurf, Kiro, Trae, Muse from Meta, any other AI agent running on python or node. The full feature description is on the Agent profile documentation page, published by HisnLabs.
How FireAI and HisnLabs fit in
FireAI learns where Aider normally connects on your Mac and flags a first-ever destination or an upload spike, without reading your data.
FireAI is HisnLabs’ own product: an on-device AI firewall for Mac. It shows every connection your apps make, in plain language, and lets you decide what leaves your Mac — its AI runs locally, so your traffic is never sent to us or anyone else. HisnLabs’ security research team is the group that keeps that decision-making accurate: cataloguing which domains are ordinary telemetry versus a real product, tracking the country and network behind a connection, and training the on-device model (its FireAI Pilot feature) on real traffic patterns, all without any of it leaving your Mac.
You can read the technical decisions behind it, or try FireAI for 17 days, at FireAI, by HisnLabs.