Coding agents · AI agent
Plandex: review, pricing, security and alternatives
Plandex is an open-source AI agent published by Plandex, in the coding agents family. Plandex is a terminal coding agent that plans development tasks and prepares changes across multiple project files. Its repository has 15,781 stars and its last commit is from October 3, 2025.
What Plandex does
Plandex belongs to the coding agents family: they read a repository, edit files, run the tests and fix things until everything passes, in a terminal or an editor. On our grid it ranks #46 of the 74 projects of this family listed in the directory.
You use it from: terminal (CLI). Usable models: GPT (OpenAI), Claude (Anthropic), Gemini (Google), DeepSeek, and OpenRouter. It can run on your own machine or server.
Who is Plandex for?
It is aimed at developers and technical teams who want to hand off part of the work on their codebase while keeping the final review. Typical tasks people give it:
- fix a bug from an issue or an error message
- write or extend tests
- migrate code to a new library version
- explain an unfamiliar codebase
It is a good candidate if you are comfortable in a terminal and your data must stay on your machines.
Access and human control
According to its documentation, Plandex can:
- run commands in a terminal
- read and edit files
By default it asks for your confirmation before sensitive actions (command, send, delete). Keep that setting, at least at first: full-auto mode saves time but removes the last safeguard.
Plandex pricing
The code is free, under the MIT licence.
Getting started with Plandex
- Install it: the project ships as a single Go binary, downloadable from the repository releases. The exact command is in the repository README.
- Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
- Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
- Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.
Security: risk level
A coding agent runs commands on your machine: work on a Git branch, review the changes and isolate it in a container for long tasks.
Points found for Plandex:
- Supervised sensitive access: it can act on the system, but asks for confirmation by default.
- Maintenance: no commit for 13 months, flaws are no longer fixed.
Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.
Project activity and releases
Created on October 24, 2023, the plandex-ai/plandex repository has 15,781 stars, 1,178 forks and 44 open issues, with 1,483 commits in total. Last change 13 months ago.
Over the last 52 weeks: 0 commits, an average of 0 per week.
73 releases in total; 0 in the last twelve months. Latest release: server/v2.2.1, on July 16, 2025.
Plandex vs other coding agents
GitHub stars of the best-rated open-source projects in the coding agents family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.
Plandex and other coding agents at a glance
The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.
| Agent | Model | Score | Stars or entry price | Self-hostable | Human approval |
|---|---|---|---|---|---|
| Plandex | open source | 56 | 15.8K ★ | yes | yes |
| OpenCode | open source | 95 | 221K ★ | yes | – |
| Cline | open source | 94 | 70.8K ★ | yes | yes |
| OpenHands | open source | 91 | 91.7K ★ | yes | – |
| Codex | open source | 89 | 130.8K ★ | yes | yes |
| Open Interpreter | open source | 89 | 68.7K ★ | yes | – |
| Qwen Code | open source | 89 | 28.7K ★ | yes | yes |
| Kilo Code | open source | 89 | 27.7K ★ | yes | yes |
How we rated it
Score: 56/100, computed only from public, verifiable data, with no subjective testing or partnership:
- Adoption 26/40: 15,781 stars on a log scale (40 points from about 200,000).
- Activity 0/30: last commit 13 months ago, 0 releases in six months, 0 commits in a year.
- Framework 30/30: licence, default human approval, self-hosting, model choice and documentation site.
The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.
Verdict
Plandex is a project to watch: compare it with the alternatives before adopting it.
Strengths
- Can run on your side: data under control
- Asks before sensitive actions
- Free choice of model
- Permissive licence (MIT)
Limitations
- No commit for 13 months
Avoid if…
- You cannot isolate it (container, virtual machine)
- Production use without reviewing the code
Alternatives
Learn more
Frequently asked questions
Is Plandex free?
The software is free (MIT licence). You still pay for the model calls, unless you use a local model.
Is Plandex safe?
Our risk level: mid. Points found: supervised sensitive access and maintenance. Give it minimum rights and approve irreversible actions.
Which models does Plandex use?
According to its documentation: GPT (OpenAI), Claude (Anthropic), Gemini (Google), DeepSeek, and OpenRouter.
Can Plandex be installed on your own server?
Yes, from the plandex-ai/plandex repository. Data then stays with you, but security and updates are your job.
What are the alternatives to Plandex?
In the same family: OpenCode, Cline, OpenHands, and Codex.
Plandex or OpenCode: what is the difference?
Both belong to the coding agents family. Plandex has 15.8K stars against 221K for OpenCode. The right choice mostly depends on the access you are willing to give it.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score