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DotCraft

#90 agent harnessverified Sep 4, 2026v0.7.10

Open-source, self-hosted agent runtime for .NET, shipped as a desktop app, an AppServer with SDKs and an embeddable harness package

Key differences

Open-source, self-hosted agent runtime for .NET, shipped as a desktop app, an AppServer with SDKs and an embeddable harness package

  • Runs local. Free and open source under Apache-2.0; you supply an OpenAI- or Anthropic-protocol key or sign in with a ChatGPT subscription
  • Runs local models. Listed for 65 of 194 tools in this category.
  • Runs multiple agents. Listed for 165 of 194 tools in this category.
  • Keep in mind: Any provider speaking the OpenAI or Anthropic protocol can be configured, which covers a local server; no specific local runtime is named in the README.

“There is a NuGet package, so the agent can now be a dependency in a solution file, next to everything else nobody upgrades.”

Website Docs 396 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

DotCraft is an AI agent runtime written in C#/.NET that turns a project folder into an extensible environment for agents. It ships Plan, Agent Builder, agent profiles, subagents, automations, goals and dynamic workflows in the box, and keeps conversations, memory, agents, skills and plugins with the project so you can move between entry points without losing state. Built-in trajectory tracking maximises prefix cache reuse across sessions to cut token cost. It runs locally or on your own server against OpenAI- or Anthropic-protocol providers or a ChatGPT subscription, and the same runtime embeds into .NET applications through the DotCraft.Harness NuGet package, an npm SDK, app binding and plugins.

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
docs
Needs individual review
install
Needs individual review
capabilities
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 ↗
OpenAI, Anthropic, ChatGPT subscription, any OpenAI-compatible endpoint
Bring your own model
Yes
Local models
Yes
Any provider speaking the OpenAI or Anthropic protocol can be configured, which covers a local server; no specific local runtime is named in the README.

Protocols

MCP clientunsourced
Yes
MCP server
No
OpenAPI tools
Yes

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
No
Browser control
No
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; you supply an OpenAI- or Anthropic-protocol key or sign in with a ChatGPT subscription

Openness

Open sourcesrc ↗
Yes
License
Apache-2.0
First release
unknown
open-sourcedotnetcsharpharnessself-hostedembeddablesubagents

Los Agentes on DotCraft

Who are they?
The ruling
El JuezThe judge

El Profesor calls the persistence coherent and El Crítico calls the same persistence stale; the disagreement is about direction, not about facts.

Trial only
Reasoning and trade-offs · AI analysis

El Crítico and El Profesor are looking at the same persistence and disagreeing about its direction. El Profesor calls state that follows the project across entry points a coherent design; El Crítico calls context reused across sessions a default that will eventually be wrong. Neither disputes the other's reading.

El Profesor is overruled on what the reader needs, because a design that is coherent and quietly stale costs more than one that is awkward and current. Trial only, and the exit criterion is one week in which no answer arrives carrying something from a session you had already finished with.

Agree with El Juez?
El AmigoThe friend

Pick it if your shop is C# and every other agent runtime asked you to learn Python first; pick a Python framework if your team already lives there.

6.8
Reasoning and trade-offs · AI analysis

The deciding trait is the language. If your services, your tooling and your hiring are all .NET, an agent runtime written in the same language changes what is possible for you in a way no feature list conveys. You get types, your own build, and code review by people who already know the codebase.

If you are not a .NET shop, none of that applies and you are choosing a smaller ecosystem for no reason. Pick it when C# is the language your team defends in meetings. Pick a Python framework when the examples you will copy from are all written in Python anyway.

reliability
6
usefulness
7
cost
8
longevity
6
Agree with El Amigo?
El CríticoThe critic

Trajectory tracking maximises prefix cache reuse across sessions, which means yesterday's context is the default input to today's question unless something decides otherwise.

6.3
Reasoning and trade-offs · AI analysis

Reuse across sessions is the risky word. A cache hit is only free when the reused prefix is still correct, and a session boundary is exactly where correctness tends to change. Nothing in the row describes invalidation, so the mechanism optimises for hits rather than for freshness.

The symptom is not an error. It is an answer that is confidently about the shape the project had last week, delivered faster and cheaper than a correct one. What it does right is naming the mechanism instead of calling it memory, so a user who reads carefully can at least know what to distrust.

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

Conversations, memory, agents, skills and plugins are stored with the project rather than with the entry point, so the desktop app and the embedded runtime address one state.

7.0
Reasoning and trade-offs · AI analysis
  1. Binding state to the project rather than to the client is the correct choice, and it has a testable consequence: a session started in one entry point is legible from another, which makes the runtime a shared substrate instead of three products with a family resemblance.

  2. The unit of backup becomes obvious as a side effect.

  3. What is not specified is the format or the concurrency model: two entry points addressing one project's state at once is the obvious question, and the documentation does not raise it. No evaluation accompanies the design, and none is claimed.

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

388 stars, a vendor with a brand and no price list, and a .NET audience that is large, loyal and already served by the company that ships the platform.

6.3
Reasoning and trade-offs · AI analysis

The market is the interesting part. Enterprise .NET is a real budget and it is also the home turf of the company that ships the language, the editor and the cloud, which means any independent runtime here is building on a field the landlord can plant on. There is no revenue line, no hosted tier and no funding visible.

Moat: none against that landlord, and some against everyone else, because nobody else wants this audience. Likely path: a support-and-hosting business, or absorption once the platform vendor ships an equivalent. Position: use it, and read the release notes of the company that owns the ground it stands on.

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

The AppServer edition means this becomes a service my platform team runs, which is a real cost, and there is still no single sign-on in front of it.

6.3
Reasoning and trade-offs · AI analysis

Read the deployment before the features. An AppServer we host is an internal service: a machine, a patch cycle, a backup policy and someone on call. In exchange sixty engineers pay no licence fee, and the model spend lands on keys we already reconcile.

For a shared service the access question is not optional, and there is no single sign-on, no directory sync and no audit export in the row. Nothing runs unattended either, so it reports no number into anything I read. Approved with conditions: one instance behind our identity proxy, owned by the platform team, with a named service owner.

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

Apache-2.0, MCP through the official C# SDK, and any OpenAI- or Anthropic-protocol endpoint including one I serve myself, so the weights stay where I put them.

7.5
Reasoning and trade-offs · AI analysis

Building on the official protocol SDK rather than a hand-rolled client is the detail that tells me somebody intends to keep up. Any endpoint speaking either major protocol works, which covers a local server without the project having to bless a particular runtime by name.

Apache-2.0 keeps the fork honest, and signing in with a ChatGPT subscription instead of a key is a nice option to have. My grumble is that a runtime this configurable exposes nothing back over the protocol, so other agents cannot reach into it. Grudging respect, one interface short.

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