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DSCode

#153 overall#70 terminal agentverified Sep 4, 20260.3.6

Local-first, multi-provider coding agent runtime with DeepSeek defaults, provider-aware model routing and OS sandboxing

Key differences

Local-first, multi-provider coding agent runtime with DeepSeek defaults, provider-aware model routing and OS sandboxing

  • Runs local. Free and open source under MIT; you supply provider keys, with an inexpensive DeepSeek default
  • Includes a Docker sandbox. Listed for 26 of 125 tools in this category.
  • Runs multiple agents. Listed for 81 of 125 tools in this category.
  • Keep in mind: The README describes OS sandboxing for the runtime rather than naming a container backend.

“It runs agents in parallel, so you can now be behind on four branches at once instead of one.”

Website 367 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

DSCode is an opinionated coding-agent runtime that defaults to DeepSeek V4 Flash for cost and adds built-in support for Codex, OpenAI, Anthropic, OpenRouter, Z.AI, Kimi, MiniMax, xAI and OpenCode Zen Go. It pairs provider-aware model routing with local sessions, safe patching, parallel agents, OS-level sandboxing and transparent usage reporting, keeping the runtime local and inspectable so each repository task can use only the model capability it needs. It ships as a terminal app and as a signed and notarized desktop app for macOS, Windows and Linux.

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
website
Needs individual review
install
Needs individual review
capabilities
Needs individual review
models
Needs individual review
license
Needs individual review

Architecture

Type
Terminal agent
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
DeepSeek, Codex, OpenAI, Anthropic, OpenRouter, Z.AI, Kimi, MiniMax, xAI, OpenCode Zen
Bring your own model
Yes
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
No
Browser control
No
Sandboxed execution
Yes
The README describes OS sandboxing for the runtime rather than naming a container backend.
Multi-agent
Yes
Headless / CI
No

Cost

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

Free and open source under MIT; you supply provider keys, with an inexpensive DeepSeek default

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcedeepseekterminaldesktopmodel-routingsandbox

Los Agentes on DSCode

Who are they?
The ruling
El JuezThe judge

La Jefa is satisfied by how it arrives and El Crítico is asking what it does once it has; only one of those questions is still open.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Crítico and La Jefa both audit the same install and stop in different places. She is satisfied by a signed and notarised desktop build; El Crítico points out that the isolation the runtime advertises has no backend named anywhere.

El Crítico's question is the one that survives, and La Jefa is overruled: a verified installer is a good answer to the wrong worry. Adopt with conditions, the condition being that you treat the isolation as absent until the documentation names it, and give the agent a directory you would not mind losing.

Agree with El Juez?
El AmigoThe friend

Pick it if you want to see what a session cost while you are still in it; pick a subscription tool if a flat monthly number is what keeps you calm.

7.3
Reasoning and trade-offs · AI analysis

The deciding trait is that the usage is shown to you rather than reconciled later. Knowing what a session consumed while you are still in it changes how you ask for things, and it is the difference between a tool you trust with a long job and one you keep interrupting to check on.

If you are on a flat subscription and never think about tokens, this solves a problem you do not have. Pick it when the meter is something you actually watch. Pick a subscription tool when you would rather pay once a month and never see a number again.

reliability
7
usefulness
7
cost
9
longevity
6
Agree with El Amigo?
El CríticoThe critic

The row records operating-system sandboxing with no container backend named, so the strongest safety claim in the description is the one nobody can inspect.

6.3
Reasoning and trade-offs · AI analysis

The isolation is unspecified. A runtime that patches files and runs parallel agents leans on that boundary for everything, and the documentation describes it by category rather than by mechanism. Without a named backend a user cannot reason about what escapes it, cannot test it, and cannot tell whether it is enforced on their platform at all.

The three supported platforms make that worse, because operating-system isolation means three different mechanisms and the row names none of them. What it does right is being explicit that the runtime stays local and inspectable, which at least puts the user in a position to find out.

reliability
5
usefulness
6
cost
8
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Safe patching is named as a feature and never defined: whether the safety is a dry run, an atomic application or a backup determines everything it guarantees.

6.3
Reasoning and trade-offs · AI analysis
  1. Applying edits is where agents fail most legibly, so a project that names patching as a design concern is looking in the right place. 2. The word safe, however, admits at least three implementations with different guarantees: validation before application, atomic application with rollback, or a copy taken beforehand. The documentation distinguishes none of them.

  2. The distinction matters because it determines the failure a user must plan for: a rejected edit, a half-applied one, or a recoverable one. No evaluation accompanies the claim and none is asserted, so the reader is left to establish empirically what the word meant.

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

364 stars and a company name on the row, with a runtime built around one provider's cheapest model: the pitch is price, and price is the easiest thing to undercut.

6.3
Reasoning and trade-offs · AI analysis

Defaulting to the cheapest capable model is a real position and a fragile one. It is a claim about somebody else's price list, and the provider can invalidate it by changing a number. There is a company here and no paid product, so the runtime is a distribution play with nothing yet to distribute.

Moat: none, and price leadership is the position with the shortest half-life in this category. Likely path: a hosted or team tier appears, or the project becomes marketing for the company's other work. Position: use it, and do not confuse a default with a commitment.

reliability
6
usefulness
6
cost
8
longevity
5
Agree with La Inversora?
La JefaThe CTO

A signed and notarized desktop app for all three platforms, plus a global npm install for the terminal: two distribution channels, and only one of them I can manage.

6.3
Reasoning and trade-offs · AI analysis

Two channels is one more than I want. The desktop app is signed and notarised on all three platforms, which passes review and installs through the tooling we already use. The terminal build is a global npm package, which is sixty unpinned versions unless somebody owns it, and both will end up on the same machines.

Beyond that the usual gaps: no single sign-on, no directory sync, no audit export, and nothing that runs unattended, so it never becomes a step I can measure. Sixty seats cost nothing beyond provider keys. Approved with conditions: the desktop build only, distributed by us, and the npm route blocked by policy.

reliability
6
usefulness
6
cost
8
longevity
5
Agree with La Jefa?
El HackerThe tinkerer

MIT and ten providers configured side by side, which is more choice than most; it speaks no MCP, so the servers I already run stay outside it.

7.0
Reasoning and trade-offs · AI analysis

Ten providers in one runtime is the kind of optionality I pay attention to. Switching between them is configuration rather than migration, and none of them is privileged by anything except a default I can change. That is the correct relationship between a tool and the companies it talks to.

What is missing is my side of it. There is no MCP client and no MCP server, so the servers I run stay outside the runtime, and every provider on that list is somebody else's endpoint rather than mine. MIT keeps the fork available, which is the consolation. Grudging respect for the breadth, withheld on the ownership.

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