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Dirac

#140 overall#66 terminal agentunverified row0.5.17

Open-source coding agent for long-running work, in VS Code, the terminal or any ACP client, with a goal mode that runs for days

Key differences

Open-source coding agent for long-running work, in VS Code, the terminal or any ACP client, with a goal mode that runs for days

  • Runs local. Free and open source under Apache-2.0; supports API-key providers, subscription-backed providers, cloud platforms and OpenAI-compatible endpoints
  • Runs local models. Listed for 66 of 125 tools in this category.
  • Runs multiple agents. Listed for 81 of 125 tools in this category.
  • Keep in mind: Work can be isolated in a git worktree with integration and cleanup controls.

“Its browser control works by screenshots and coordinates, which is how we automated the web before anyone thought to ask the page.”

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What it is

Dirac pairs autonomous execution with code-specific tooling: hash-anchored file editing, syntax-tree inspection and refactoring, parallel operations, subagents, continuous steering and configurable permissions. Its goal mode takes an objective and keeps creating and coordinating tasks toward it for hours or days, pausing for input, and `/new-tool` has it build, compile, validate and smoke-test a new typed tool mid-session. A separate cheaper utility model handles compaction, handoffs, commit messages and first-pass permission decisions against a natural-language policy.

Specification

Source verification

Row snapshot checked not yet. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
install
Needs individual review
models
Needs individual review
capabilities
Needs individual review

Architecture

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

Models

Backbonesrc ↗
Anthropic, OpenAI, OpenRouter, Gemini, Groq, Mistral, any OpenAI-compatible endpoint
Bring your own model
Yes
Local models
Yes

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
Yes
Browser interaction is screenshot and coordinate based.
Sandboxed execution
No
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 Apache-2.0; supports API-key providers, subscription-backed providers, cloud platforms and OpenAI-compatible endpoints

Openness

Open sourceunsourced
Yes
License
Apache-2.0
First release
2026-04
terminalvscodeacpsubagentsgoal-modeworktrees

Los Agentes on Dirac

Who are they?
The ruling
El JuezThe judge

El Amigo and El Crítico are looking at exactly the same feature and reaching opposite conclusions, and the split turns on whose machine it is.

Trial only
Reasoning and trade-offs · AI analysis

El Amigo likes that it keeps working toward an objective for hours without stopping. El Crítico points out that nothing isolates those hours from the rest of the machine it is running on. Neither describes a different tool. El Hacker sides with El Amigo, on the grounds that he built the box.

El Crítico wins on a shared repository and loses on a laptop. La Jefa's objection about pipelines is correct and beside the point, since nobody here proposed running this as one. Trial only, and the exit criterion is a single unattended run you audit line by line before a second one starts.

Agree with El Juez?
El AmigoThe friend

Pick it when you have a task worth leaving running overnight and the patience to steer it; pick Aider if you would rather approve every edit as it happens.

7.0
Reasoning and trade-offs · AI analysis

The deciding trait is that it does not stop. You hand it an objective and it keeps generating and sequencing its own work toward that objective, pausing when it needs you rather than when the turn ends. You can also talk to it mid-run without killing the session, which is what makes a long run survivable.

Whether you want any of that depends entirely on how well specified the objective was. A vague goal running for six hours produces six hours of confident wrong work. Pick it if you can write the objective properly. Pick Aider if you would rather see each edit before it lands.

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

It will work unattended for days and it ships no container, so a run that long has no boundary between the agent and everything else on the machine.

6.3
Reasoning and trade-offs · AI analysis

The dealbreaker is duration without containment. Nothing runs the agent inside an image with its own filesystem, so a multi-day objective executes shell commands directly against the machine holding your credentials, your other checkouts and your browser profile. Configurable permissions help. They are a policy, not a wall.

The second problem follows from the first: the longer a run goes, the less anyone recalls what they authorised at the beginning. What it does right is the worktree. Work can be confined to its own branch with documented integration and cleanup, which contains the damage to the repository even when nothing contains the process.

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

Edits are anchored by content hash rather than by line number, so a stale edit fails loudly instead of applying itself to the wrong region of a changed file.

7.3
Reasoning and trade-offs · AI analysis
  1. This is the correct fix for a well-documented failure. An agent addressing a file by line offsets corrupts it whenever the file has moved since it was read, and the corruption is silent, which is the worst property a bug can have. Hashing the anchor converts it into a rejected operation, and a rejection is something a caller can handle.

  2. Syntax-tree inspection sits beside it, so structural questions are answered by a parse rather than a regular expression. 3. Neither choice arrives with a measurement, and no benchmark of any kind is published here. Defensible from first principles, which is the weakest available form of evidence.

reliability
8
usefulness
7
cost
7
longevity
7
Agree with El Profesor?
La InversoraThe investor

A first release five months old, 1,476 stars, no price published anywhere and no hosted component: a project that has not yet chosen a business model.

6.5
Reasoning and trade-offs · AI analysis

The interesting number is the age. Something this young carrying this much stated ambition sits in the phase where the roadmap is whatever the authors find interesting, and that phase ends the day somebody has to charge for something. Nothing published suggests the answer has been decided yet.

Moat: none so far, and the obvious candidate is a control plane nobody has built. Pricing power: untested. Likely path is a paid cloud tier bolted onto a free client, or a quiet acquihire by a larger vendor that wants the team more than the code. Position: use it, do not standardise on it, revisit when a price appears.

reliability
6
usefulness
7
cost
8
longevity
5
Agree with La Inversora?
La JefaThe CTO

Nothing per seat for sixty engineers, and a second cheaper model handles compaction and permission triage, which is the only deliberate cost control I have seen this month.

5.8
Reasoning and trade-offs · AI analysis

The utility model is the line that got my attention. Compaction, handoffs and first-pass permission decisions run on a cheaper model than the one doing the work, which is an answer to the meter designed on purpose rather than discovered later. Multiply an all-day session by sixty engineers and that split is the gap between a budget and a surprise.

Everything else is absent. No identity integration, no usage record, no central policy, and nothing that becomes a step in delivery, so I can neither control it nor report on it. Not yet: it does not become a standard here until somebody can tell me who ran what.

reliability
5
usefulness
6
cost
7
longevity
5
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0, any OpenAI-compatible endpoint including mine, and a slash command that builds and smoke-tests a new typed tool mid-session instead of making me write a plugin.

7.8
Reasoning and trade-offs · AI analysis

The tool-building command is the part I have not seen anywhere else. Instead of shipping a plugin API and a manual, it compiles, validates and smoke-tests a new typed tool while the session is still open, which turns extending the thing into a conversation rather than a pull request. I am suspicious of that and I want it regardless.

The licence is permissive and the endpoint field accepts anything speaking the common API format, so the weights stay mine. What is absent is protocol support: it does not speak MCP, so every server I already run stays unreachable and every tool has to be built inside this one instead.

reliability
7
usefulness
8
cost
9
longevity
7
Agree with El Hacker?