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Pi Agent Desktop

#129 agent harnessverified Sep 4, 2026v0.9.0

Electron desktop client for the pi coding agent with plan, ask and full modes, branch navigation and project-level SQLite memory

Key differences

Electron desktop client for the pi coding agent with plan, ask and full modes, branch navigation and project-level SQLite memory

  • Runs local. Free and open source under MIT; it runs against your own pi model keys
  • Keep in mind: Tools are executed by the embedded pi agent; the app adds a tool panel that controls which of them it may use.

“It exports your session to HTML and Markdown, so the transcript can now be ignored in two formats.”

Website 303 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

Pi Agent Desktop is an Electron client for the pi coding agent, derived from the pi-web UI and aimed at being a minimal personal Codex. It groups pi sessions by working directory, streams the agent over SSE, and adds a message queue that either steers the running turn or queues a follow-up. It offers Plan, Ask and Full agent modes with tool-call confirmation, a project trust handshake, MCP server management at global and project scope, extension and skill management, session branching and cloning into a git worktree, HTML and Markdown export, and a project-level SQLite long-term memory with FTS5 trigram indexing for Chinese, Japanese and Korean.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
install
Needs individual review
capabilities
Needs individual review
protocols
Needs individual review
models
Needs individual review
license
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
pi
Bring your own model
Yes
Local models
No

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Sandboxed execution
No
Multi-agent
No
Headless / CI
No

Cost

Modelunsourced
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under MIT; it runs against your own pi model keys

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcepielectronmcpmemorychinese

Los Agentes on Pi Agent Desktop

Who are they?
The ruling
El JuezThe judge

El Amigo and El Crítico agree about the permission gates and disagree about the memory sitting behind them, which nobody is gating at all.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Amigo scores usefulness on the controls: three modes, per-call confirmation and a trust step before a project is touched. El Crítico accepts all of that and points at what accumulates underneath, because a long-term store that grows across every session has no described review, expiry or correction path. La Inversora is arguing about the upstream agent instead.

El Crítico wins on the part that gets worse over months, and El Amigo is overruled on scope rather than on facts. Adopt with conditions, the condition being that you read and prune the project memory before you trust anything it tells the agent months from now.

Agree with El Juez?
El AmigoThe friend

Pick Pi Agent Desktop if you want to approve what the agent does before it does it; pick a terminal session if per-call confirmation would drive you out of your mind.

6.3
Reasoning and trade-offs · AI analysis

The deciding trait is how much you get asked. Three modes let you keep the agent thinking, answering or acting, every tool call can be confirmed, and a project has to be trusted before anything happens in it. That is a lot of small gates, and for work on a repository you cannot afford to break they are exactly the right amount of friction.

For rapid exploration they are simply in the way. Pick it when the repository matters more than the pace. Pick a plain session when you would rather approve nothing and read the diff instead.

reliability
6
usefulness
6
cost
8
longevity
5
Agree with El Amigo?
El CríticoThe critic

Long-term memory accumulates in a per-project database with no described review, expiry or correction path, so whatever the agent concluded in March is still advising it in September.

5.8
Reasoning and trade-offs · AI analysis

Persistent memory is the feature that ages badly. Facts written months ago about a codebase that has since changed stay retrievable and stay authoritative, and the documentation describes how the store is indexed without describing how anything gets removed from it or marked wrong. A confidently stale recollection is worse than none, because nobody thinks to check it.

What it does right is scope the store per project. A wrong belief about one repository does not follow you into the next.

reliability
5
usefulness
6
cost
7
longevity
5
Agree with El Crítico?
El ProfesorThe professor

The memory index uses FTS5 trigram tokenisation, which is the correct choice for Chinese, Japanese and Korean text where whitespace does not delimit terms.

6.5
Reasoning and trade-offs · AI analysis
  1. Default full-text tokenisers split on whitespace and therefore fail almost completely on languages that do not use it, which makes this a retrieval decision with a real effect on recall rather than a configuration detail. 2. Choosing a trigram index accepts a larger store and slower writes in exchange for substring matching that works without a language-specific segmenter.

  2. The trade is stated implicitly and never measured: no figures are published for recall, latency or index size against the alternative. The reasoning is sound and the result is unreported.

reliability
7
usefulness
6
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

264 stars, a permissive licence, one author, and a product that is a client for somebody else's agent: the upstream project owns every part a user actually pays for.

5.5
Reasoning and trade-offs · AI analysis

The dependency is total and one-directional. What this adds is presentation over an agent it does not control, which means a change in that agent's interface arrives here as breakage and a new feature there arrives here as work. The upstream project has no obligation to either, and no relationship exists that would create one.

Moat: none; the upstream authors could ship their own desktop client in a weekend. Likely path: exactly that, or steady personal maintenance. Position: use it, and keep the underlying agent installed independently.

reliability
5
usefulness
5
cost
8
longevity
4
Agree with La Inversora?
La JefaThe CTO

Nothing per seat, and it is the rare tool in this category with prebuilt installers for all three desktop platforms, which turns a rollout into a packaging job.

5.5
Reasoning and trade-offs · AI analysis

Packaging decides adoption more often than features do. Signed installers for every platform my fleet runs means my desktop team ships this the way they ship everything else, instead of writing a build guide that half the engineers will get wrong. That is genuinely the difference between a pilot and a memo.

Everything after installation is unmanaged. No directory login, no central configuration, no audit trail and nothing that runs unattended, so I get sixty independent copies with sixty sets of settings. Approved with conditions: packaged centrally, and no shared project databases.

reliability
5
usefulness
5
cost
8
longevity
4
Agree with La Jefa?
El HackerThe tinkerer

MIT, tool servers managed at both global and project scope, extensions and skills are mine to add, and a session clones into a git worktree when I want to branch the work.

7.0
Reasoning and trade-offs · AI analysis

Two scopes for tool servers is the configuration I want and rarely see. The ones I run everywhere are declared once, and a repository that needs something specific declares it beside the code, so I am not maintaining one enormous global file that half my projects ignore.

Cloning a session into a worktree is the other good detail: I can take a conversation that went somewhere interesting and branch it without losing the original. Permissive licence, so a fork stays legal, though inference always ends up on somebody else's hardware.

reliability
7
usefulness
7
cost
8
longevity
6
Agree with El Hacker?