Unreal Agent

Posted by trollied 1 day ago

Counter238Comment121OpenOriginal

https://github.com/unreallabsai/unreal-agent

Comments

Comment by dvt 1 day ago

I think this space is very untapped. Models are interesting, but I am absolutely obsessed with some things I've been researching/working on for the past few years:

Fractal tool discovery: tool taxonomy where an agent can "drill deeper" to find what specific tool it's looking for. Helps if/when polluting context with a zillion (mostly unnecessary) tools.

Leveraging splay trees: this is my favorite data structure and I think relatively unused in the context of agents/harnesses. A lot of times, recently-used workflows/tool-chains will be used again, so having those at the top of the search hierarchy is an awesome optimization.

Virtual containerized notebooks: models working in sandboxed (WASI) Python notebooks is incredible. Even local models (if given enough time) will usually converge on a good solution. Being able to mount tools/resources/fs is again, imo quite untapped. Some problems here are running native things (thing numpy/pandas) in containers is a nightmare (or impossible).

Anyway, happy to see other folks seriously doing stuff in this space. If anyone wants to collaborate on anything don't hesitate to reach out :) I'm also actively looking for a job or some contract gigs.

Fun times ahead.

Comment by ravenstine 1 day ago

> Helps if/when polluting context with a zillion (mostly unnecessary) tools.

Ugh, I can't help but respond to this one point. The fact that this is even an issue in the current year just tells us how screwed the software field is in a lot of ways. I don't mean that in existential terms, but of how divided we've become in terms of what's happened to human reasoning. On the one hand, you have people who apply deep thinking to develop the sort of approaches you described, and there's the exponentially growing segment of not-even-programmers who seem to never ask themselves whether any of their ideas have any sort of consequences.

Take MCPs for instance. Sure, I guess it can sometimes make sense to have a stateful API that is optimized for agents. Yet, more often than not, these MCPs frontload a ton of context where it's not needed, and solve problems where none existed. Merely sticking an API (MCP) in front of an API (CLI, REST, GraphQL) without a benefit that can be explained in a single sentence is lunacy and demonstrates a real lack of complex thinking.

Comment by rockostrich 14 hours ago

Your point is valid for individual developers or small teams of technical folks.

However, MCPs are a godsend to anyone trying to manage access to systems (especially SaaS systems) in a large organization that includes a ton of non-technical employees. We use at least a couple of SaaS products where RBAC is severely limited in what it can govern or where API keys do not have any kind of governance so handing one out is basically handing out read/write on the entire system. Being able to configure an MCP to only have read endpoints enabled it a very useful piece of duct tape. Obviously it would be great if the underlying API was just designed with proper governance but that's out of the user's control.

Comment by sublinear 1 day ago

> tells us how screwed the software field is in a lot of ways

But, you just very clearly described why human software engineers are in higher demand than ever before.

It's always been "screwed" in the sense that everyone else sucks at wielding the power.

What we're actually witnessing is a watershed moment where a lot of technologically illiterate people are getting left behind. Those of us on the literate side are left to fight amongst ourselves and the powers that be for control over the future. We have actually been doing an alright job all things considered (else this conversation wouldn't be happening). Politicians are aging out and we're the adults in the room now.

Comment by rozal 1 day ago

MCP’s make sense because, people want to click the + icon on chatgpt or claude to connect their data. nobody cares if you can do it manually

Comment by kaurimu 1 day ago

Isn't that what codemode is for?

mcp with 2 tools: execute(code) and search(query)

all other tools, mcps, apis, whatever are encapsulated by the one interface. new tools don't bloat the agent's context, and it can write its own code to perform more advanced and batch operations against the available tools (executed within a sandbox).

executor is a great implementation of this - https://executor.sh

opencode v2 also provides its own native implementation

Comment by never_giveup 1 day ago

Have you had workflows/benchmarks to test this on? I'm primarily interested if there are real use cases that would benefit.

Comment by spdustin 1 day ago

I've also explored s/Fractal tool discovery/Skill tree approaches, seems to work pretty well when you stick the equivalent of XREFs in the frontmatter.

Comment by tracerbulletx 1 day ago

What makes it fractal?

Comment by dvt 1 day ago

It's kind of self-expanding/looping; fractal is just a cute name I like, but it's technically a directed cyclic graph (since you always have/want cycles).

Comment by mejutoco 1 day ago

I think recursive fits better, but I get it.

Comment by joshribakoff 1 day ago

It’s more so the divide and conquer. Recursion vs iterative is tangential.

Comment by aeon_ai 1 day ago

I've always referred to it in UX terms. "Progressive Disclosure" -- It pulls more context as needed.

In this way, I tend to think of the context environment on an agent is the "agent nav" -- it presents context, allows progressive disclosure, and if poorly designed, makes the agent flounder as a poorly designed UI/UX does.

Comment by mrlowlevel 1 day ago

i have found agents to be excellent at using CLIs, which are fractal-like. i built this reddit ads api cli and my agent immediately starting introspecting it in a "drill deeper" manner:

https://github.com/genei-Ltd/reddit-ads-cli

Comment by wyre 1 day ago

Fractal tool discovery is a fascinating idea! Have you worked on implimenting this into any agent harnesses already to any success? My first impression is allowing the agent to fork itself, not unlike launching a subagent, then returning it's response back to the main agent.

Comment by securetron 1 day ago

bonus if it spits out Double Kill, Mega Kill, GodLike! when saving tokens

Comment by tekacs 1 day ago

The headline graph is kind of bizarre.

For some reason they're comparing their harness running on Astra xhigh to Codex with Astra max?

---

Also worth noting that OpenAI just added support for async tool calling to their harness, which isn't 1:1 with this approach, but is slowly ramping up in being able to provide something similar.

A big part of why Codex uses so many tokens is that it basically hot loops on polling tasks it starts for... absolutely no good reason: https://www.reddit.com/r/codex/comments/1wdlp7q/weve_discove...

I fixed it on my fork of Codex too, also back in Jan/Feb – I keep this patch rebased, for anyone who wants it: https://github.com/tekacs/codex/commit/9ffcf8db9078eae43d411...

It results in token savings similar in scale to those displayed here by Unreal.

---

My harness has used a slightly fancier version of the approach that Unreal is using since ~Feb, and... it definitely works excellently, but it's also assuredly smoother with Astra and other recent models that are more aware of async tool calling.

Comment by NostraDavid 1 day ago

To reduce the codex polling I slapped this into my ~/.codex/config.toml:

  [features.multi_agent_v2]
  enabled = true
  wait_agent_enabled = true
  min_wait_timeout_ms = 10000 # 10s
  default_wait_timeout_ms = 300000 # 5m
  max_wait_timeout_ms = 3600000 # 1h
Seems to do the job and reduce usage; I just ran Astra for ~5 hours (using a goal) and it used the last 30% of my usage. And now they released GPT-6 Sol and Luna (which is basically 5.6 Sol and Luna, but a bit better and also 50% cheaper) ;_;

Comment by AmazingTurtle 1 day ago

Perfect, I will incorporate this as default as well as the commit from the other guy into my own codex fork https://github.com/AmazingTurtle/codex btw. I'm rebasing on 0.156.0 right now

Comment by discobot2 1 day ago

the headline chart was lazy on our part, thanks for the flag and I’ll update it.

each individual benchmark that is combined into agentic coding index was compared on xhigh between ua / codex / pi, and headline improvement was calculated on xhigh, but then agentic coding index pareto chart by default includex codex max, hense the confusion.

Comment by tapoxi 1 day ago

Sounds like a trademark issue when Epic ships a wildly popular Unreal Engine

Comment by bryant 1 day ago

I had to scroll to the bottom to realize that this had absolutely nothing to do with Unreal Engine or Epic. There's no reason to think that Epic wouldn't have an "Unreal Labs" creating harnesses to help them with software engineering.

This plainly seems like a trademark issue in progress considering it's in the same exact domain and considering how many others were confused the way I probably was.

Comment by esher 20 hours ago

I liked the 3D effects on the homepage of unreal labs https://unreallabs.ai/ - so I was sure it's related to 3D engine makers, and of course great idea to have an agent for that too.

Comment by nosyke 1 day ago

yep, can confirm i was confused too

Comment by tantalor 1 day ago

lol it took me to read this comment to find out this has nothing to do with Unreal.

People, I'm begging you, please talk to a lawyer before launching.

Comment by MisterMunchkin 10 hours ago

Yeah there’s no way they can use this name for software, it is a complete ripoff of their brand

Comment by wannabe44 15 hours ago

Suggestion: rename it to "Unreliable Agent"

Comment by orliesaurus 1 day ago

But I don't think you can trademark a generic word like Unreal...

Comment by neuronexmachina 1 day ago

They've trademarked it for quite a few closely-related domains: https://tsdr.uspto.gov/#caseNumber=87709072&caseSearchType=U...

>Computer software, namely, game engine software for video game development and operation; Computer software, namely, software development tools for the creation of computer-generated imagery and graphics for the production of video games; Computer software, namely, software development tools for the creation of computer-generated imagery and graphics for the production of content for virtual worlds and 3D platforms; Computer software, namely, software development tools for the creation of computer-generated imagery and graphics for the production of motion pictures, television shows, videos, 3D animations, 3D simulations, 3D visualizations, virtual reality motion pictures, virtual reality television shows; Computer software, namely, software development tools for the creation of computer-generated imagery and graphics for the production of virtual reality video games; Virtual reality game software; Virtual reality software for creating multimedia content; Augmented reality game software; Augmented reality software for use in mobile devices for integrating electronic data with real world environments for the purposes of entertainment

Comment by willy_k 1 day ago

Those do all seem directly tied to what Unreal Engine does i.e. graphics

Comment by llm_nerd 1 day ago

Unreal is trademarked. This is not in question. And personally I 100% thought this was an agent specifically for dealing with the Unreal Engine, and was interpreting all of that information in that context. Very weird name for a company/product.

Comment by seanalltogether 1 day ago

Same, I thought this was going to be a plugin for creating content in Unreal engine.

Comment by NolF 1 day ago

Same. Specially given how some harnesses connect with blender for 3D asset generation and creating real 3D worlds like those architecture examples but many of the 1-shot game examples too.

Comment by Applejinx 1 day ago

Likewise. This seems to be the norm for AI people: act as if.

Comment by max-privatevoid 9 hours ago

An XR glasses company, Nreal, changed their name to XREAL, allegedly because of Epic Games.

Comment by mey 1 day ago

Apple? https://en.wikipedia.org/wiki/Apple_Corps_v_Apple_Computer

Comment by ompogUe 1 day ago

https://en.wikipedia.org/wiki/Sosumi

Comment by 1 day ago

Comment by ramesh31 1 day ago

>"But I don't think you can trademark a generic word like Unreal..."

Sure you can, trademarks are contextual. If they were a landscaping business it wouldn't matter. But within the same industry absolutely.

Comment by orliesaurus 1 day ago

I guess? but we are talking Game engine vs AI harness...

Comment by heimidal 1 day ago

The USPTO really isn't interested in those sorts of semantics. This would be a slam dunk for Epic.

Comment by pixl97 1 day ago

It doesn't matter if they can or can't, it only matters if you can afford the lawsuit.

Comment by cantalopes 16 hours ago

i mean unreal is such a generic word, i doubt it epic would win the lawsuit

Comment by j_w 14 hours ago

Maybe if UnrealLabs were a banana company. But they are a software company. The trademark they have on "Unreal" is for computer software and lists a bunch of domains related to the software development of video games/3d models.

Comment by pyrolistical 1 day ago

Funny, I solved this problem by having Claude write a pi extension

https://github.com/Pyrolistical/pi-notify

Now my pi agent setups its own trigger to notify itself when a background process is done

Comment by solarkraft 1 day ago

Right! It’s not really rocket science. I’ve been thinking of building a general “wait” command that just blocks until some event occurs. Still more “active” waiting, but as far as I understand the efficiency problem comes from polling.

Comment by respectattentio 18 hours ago

This is so interesting.

I'm unlocking savings (in both speed and costs) but using a different way of thinking by integrating Decision models:

In short, LLMs spend so many turns on discovery, triage, and safety checks for everyday tasks. A decision model cuts those turns by preparing the relevant context before the prompt and handling the simple judgments itself, so the LLM only does the real work.

Here is the full article I published yesterday with in-house benchmark: https://tawfeks.github.io/decisionkit/

What do you think, guys? I need feedback on this.

Comment by urbandw311er 6 hours ago

I am super confused. Is this nothing to do with Unreal? I was assuming an MCP agent for creating rendered worlds for games etc.

Comment by tontinton 1 day ago

Oh very nice, can you also compare it to https://maki.sh?

Would be interesting to compare to a harness optimizing for cost reduction too.

Comment by solarkraft 1 day ago

The techniques appear to be orthogonal, so you might be able to combine them

Comment by westoque 1 day ago

not a fan of README's where there's no clear way to run the program, like a getting started or how to build. i think this is the opposite of a docu-monster where AI documents everything, but clearly more documentation is better than lack of.

Comment by solarkraft 20 hours ago

It’s a library and there are usage examples.

> but clearly more documentation is better than lack of

I tend to disagree. This makes it very high signal. So far my agent has been successful at navigating the repo.

Comment by hi_hi 1 day ago

I came to say the same thing. Zero info about how I would use this once it’s cloned.

Comment by ricardobeat 20 hours ago

Crush [1] has had async tools for a long time, as has Claude Code.

They work well, except that the agent will often simply call wait() immediately after, and also do it with a longer timeout, causing crashes/hangs to really slow down the process; whereas immediate tool calls have a built-in 30s timeout in most harnesses.

I imagine this one will suffer from similar problems.

Comment by lostmsu 15 hours ago

This problem has a few rather trivial solutions.

Comment by ozozozd 1 day ago

I suppose GPT models throw shade when your input is less favorable to Codex:

“On the surface, Unreal Agent achieves the same outcomes with fewer model turns and fewer input tokens.”

(Emphasis mine)

Comment by ChaseRensberger 1 day ago

happy to see more harnesses in the Go space, i've had a fun time building https://github.com/ChaseRensberger/wingman

i think the language primitives map well to the natural desire to use these tools across networks and in concurrent workloads.

another Go harness i keep up to date with is: https://github.com/boldsoftware/shelley (exe.dev team)

Comment by nylonstrung 1 day ago

I don't really understand how async tool calls translate to token savings

It says that it removes tokens wasted while a model is waiting on synchronous tool calls. What tokens exactly is Pi using when waiting?

Comment by dumberquestions 1 day ago

I think a running agent periodically checks if a process it started has finished.

Comment by zergrush 1 day ago

that shouldn't be what eats up tokens tho

gpt 6 sol already made a lot of progress with caches

i have a feeling unreal agent might have decided to release now rather than getting sherlocked

i just think its very risky right now to spend too much time building harnesses or anything on top of codex or claude simply because frontier labs will just absorb whatever works

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Comment by swiftcoder 22 hours ago

I assume the bigger problem is the cache expiring while you wait for the tool call to complete. A bunch of hosted providers only keep the cache alive for ~5 minutes - if you sit there waiting for a 5 minute tool call, you get to pay to reload the entire context into cache

Comment by 332451b 1 day ago

"More tool work per model turn" could reduce the number of cache reads (or even cache misses) and associated cost?

Comment by nojs 1 day ago

For everyone self-hosting models, optimising for cost is an anti-feature. It makes the results worse for no benefit (except a little speed).

What I'd love to see is a harness that deeply optimises for the best results obtainable out of non-frontier models. Many of these have 1M context windows, and most of it remains unused and under utilised in these harnesses, in my opinion.

Comment by jakkos 21 hours ago

Speed is actually the thing stopping me using local models more. Qwen 3.8 27b is surprisingly capable, but spends a lot of time/tokens brute forcing problems until it gets it right. The longer task times mean that to fully utilize my attention I need more tasks running concurrently, and the increased context switching just feels bad and leads to me making worse decisions.

Comment by solarkraft 20 hours ago

Totally agree, Qwen 3.8 is a pain to wait for. Glimmer much less so!

Comment by discobot2 1 day ago

it doesnt make the result worse

Comment by jedisct1 19 hours ago

This is exactly what Swival was built for: https://swival.dev

Comment by nojs 14 hours ago

Is it? The tagline says “Designed for tight context windows and limited resources.”

Comment by joshstrange 1 day ago

If the frontier labs (well, I guess just Anthropic) would go full OAuth support even on a subscription we would see, an even bigger, explosion in harness improvements. I maintain that there is a ton of low-hanging fruit and new ideas/concepts that should be tried but the costs are holding people back (using API pricing only).

It's both expensive to test alternative harnesses and it's expensive to develop them (if using API pricing).

Comment by faangguyindia 1 day ago

OK, but isn't this just programmatic tool calling, which is beneficial in some cases but not others?

This is available in DSH via PTC mode.

Basically, instead of the completion API returning a sequence of tool calls, it returns a program that invokes the tools.

I think most are returning Typescript program

With ordinary tool calling, you may have to wait for a tool to return its result to the completion API before the model can continue and issue the next tool call.

With PTC, the generated program can invoke independent tools asynchronously, collect their results, and dispatch the relevant results back to the completion API in a single turn.

Claude and Codex added this as well, but there are some papers on this that show it's not good across all tasks, and models need to be trained for this specific technique, which is what AI labs are doing now.

Comment by discobot2 1 day ago

its not really, model expresses tool calls as a list of bash tools

Comment by faangguyindia 1 day ago

DSH also does this, but Bash calls are part of the TypeScript program as response in PTC mode.

Comment by bryant 1 day ago

So I commented on this in passing in a deeper thread (in re: the potential trademark issue - https://news.ycombinator.com/item?id=49807884), but I think this is serious enough for its own top-level thread.

How likely is it that they get sued into the ground in a year? They might have a strong suite of offerings even as soon as six months from now, but if the essence of a company's brand seems at jeopardy from the start, can I take the risk as a potential customer that they'd survive that kind of action?

Comment by cbg0 20 hours ago

I think highly unlikely, they'll get slapped with a cease & desist and just change the name.

Comment by solarkraft 1 day ago

I think this is what I’ve been waiting for! Live interactions with models are fundamentally asynchronous! This will be great for interactivity.

What a good time for harness design. Just while OpenCode is growing up a bit and focusing on their harness. I’m delighted to see people focusing on good general solid harness design principles.

Someone make an OpenCode API (the best general agent end UI API I know) compatible server for it!

Sucks that I haven’t upgraded my client to V2 yet and I don’t really want to build on an outdated API ...

Edit: It would be cool to get streaming responses :) But I understand (and actually applaud) that the authors seem to have been very focused on the core mechanics.

Also note that this works with the responses API!

Comment by staticvar 1 day ago

I was really hoping that Epic had released a harness that plays games.

Comment by ironqcold 1 day ago

The critique of CLI-oriented SDKs is fair. I'd want to see how it behaves on long-horizon tasks where the "no sub-agents" constraint starts to bite

Comment by vblanco 1 day ago

In my projects i use unreal and me and my team have tested out multiple things. We have settled on no MCP complications whatsoever other than simply exposing the python scripting from the editor + a export step that can write the blueprints and asset data into plaintext so that the bot can grep them. This has given by far the strongest results, and we now have no issues having the agents edit game code and do operations.

We found this massively outperforms any kind of agent like this and the official unreal MCP systems. Its similar to the Blender MCP which also just exposes scripting + very minimal api to claude code/others.

Comment by gillesjacobs 1 day ago

OP is a coding agent and harness tool named Unreal, not the game engine by Epic.

Comment by vblanco 1 day ago

Completely misread the github and understood this as a agent inside unreal as a plugin...

Comment by rafaelmn 1 day ago

Honestly the fact that we're still modeling agent harnesses like chat and strapping them into shell sessions instead of building async actor systems with sandboxed OS functionality access actors is bananas to me. So much easy wins can be had just by building on right abstractions... Hopefully will get enough time to play with this idea soon on my own.

Comment by dirtbag__dad 1 day ago

Do you have any examples of this approach?

Comment by rafaelmn 1 day ago

I'm actually taking the time to hash out the details to do this as a side experiment project, but basically what I read this project as showing is that if you leverage asynchrony you can let agents be more efficient - and you get this "for free" if you model your "agents" as actors that interact with the system through message passing. Then all the system operations become messages to different actors, need to read a file => message the fs actor => get reply from FS actor as a message when it's done. You'd probably need some out of mailbox ways to share blob resources and sockets for realtime (audio), but for the most part simple message passing should handle most of what LLM agents do.

Actors can have identities and roles for RBAC, etc. you - cross agent communication is the same as sending any other message to a actors.

Not to mention that actors can be on your device, another device, etc. whatever the router can resolve - it's transparent to the agents.

Comment by solarkraft 1 day ago

I’d think the approach in this repo gets close to that, no? I also think LLM harnesses should just support typical async i/o.

Let a model get notifications when something it has accessed/ subscribed to changes, a tool produces output or it gets some other kind of message (for example by another AI or flesh agent). Wait until the next turn or wake it up. It can still decide to do nothing and wait.

Comment by ibash 1 day ago

I think you nailed it. I have my own agent harness that's designed with inspiration from erlang/elixir. It seems to be a natural fit for indeterministic output and failures.

Comment by hombre_fatal 1 day ago

You lambasted the interface (linear messages, chat) but then never pitched us your vision of a successor.

Your technical ideas are just implementation details behind the interface. What's your idea for a better UX?

Comment by rafaelmn 22 hours ago

That's the reason I'm excited about the orchestrator because it would let me build my ideal UX on top.

If you move away from the idea that agents are chat streams and treat them as processes/actors then you can start letting agents represent themselves/build their own interfaces.

And if you build enough introspection into the protocol because everything is message based you can have other agents build interfaces for them.

So like either standard GUI, or a voice assistant talking to you and delegating to agents, etc.

It's not an idea it's a way of thinking about agent systems - basically an agent OS.

Comment by dpc_01234 23 hours ago

https://tau-agent.dev/ in my setup. Many sessions each multiagent, in different sandboxes, sending messages. Also nothing in the main article that Tau wouldn't have. I just don't have stamina for more "marketing". Async tools ... sooo basic. :D

Comment by orliesaurus 1 day ago

Why don't you explain what's different?

Comment by kushbhuwalka 1 day ago

how does this compare to eve? does async mean serverless?

Comment by solarkraft 20 hours ago

Async, as I understand it, means that the agent never has to actively wait for things to complete, so it can do work while it waits and can receives the result at some later point which it can then react to. I don’t know whether Eve has that feature, it would be cool. Should not meaningfully influence its ability to be deployed serverlessly.

Comment by vb-8448 1 day ago

Does it support subscriptions ? If not it's a no go for me.

Comment by solarkraft 1 day ago

This is a fairly low level library focusing on the core harness mechanics.

Comment by vb-8448 12 hours ago

But the selling point is "its cheaper to run on api compared to codex/cc" ... but I, and a lot of folks, don't use API.

Comment by Streamski 22 hours ago

Seeing this isnt Unreal Engine related, I do wonder if anyone is building tools for unreal engine.

Comment by gregjw 17 hours ago

why use that name, cease and desist on its way folks

Comment by monster_truck 17 hours ago

what are you the name police, I'm naming my next project greg

Comment by mrtesthah 1 day ago

Is there a TUI or GUI I can use this with? Or is unreal-agent-runner intended to be called from an existing app? How does that work?

Comment by oathvz 1 day ago

aka., we want your usage data please use us blah blah blah

Comment by underlipton 1 day ago

This feels like it's begging for a lawsuit from Epic.

Comment by redog 1 day ago

Epic harness -- unreal agent!

Comment by aslkalska 1 day ago

that's like the worst name you could have picked

Comment by fidotron 1 day ago

Your Gimp Agent is ready.

Comment by lelandbatey 1 day ago

The basic asynchronous approach is potentially interesting, but:

1. Agents usually depend on output of the commands they're running in order to make decisions about what to do next, so how do they behave while they're "waiting around" for the output they need?

2. Agents can _already_ run software async, via multiple mechanisms: raw CLI tools like "nohup", literally running tools in parallel (I see Sol do this often in the Opencode TUI harness), and using parallel sub-agents to e.g. research in parallel.

Thus I wonder, how much does this really improve speed vs only improving the "appearance" of getting more done faster?

Comment by mrtesthah 1 day ago

I don't think the point is speed per se but rather reducing overhead of checking on their completion.

Comment by basisword 1 day ago

When did we just give up on the challenge of giving something a unique name? I see products launch everyday on HN now that just take a well known brand and use it as their own. I thought this would be a feature for Unreal engine.

Comment by himata4113 1 day ago

omp.sh does this way better by just allowing structural toolcall execution in eval with python/js.

Comment by Animats 1 day ago

Not to be confused with Epic's Unreal Engine. Epic will probably be having words with this startup about the name.

Comment by Applejinx 1 day ago

VERY MUCH to be confused, which is exactly why Epic will doubtless be having many w… no, I'm sorry, I think they'll have one word. 'Nope'

Comment by syngrog66 1 day ago

unfortunate name. misleads

Comment by FanaHOVA 1 day ago

This is not an Unreal Engine agents? Very disappointed

Comment by jedisct1 1 day ago

Happy with swival.dev ...

Comment by calmingsolitude 1 day ago

Mildly disappointed that this has nothing to do with Unreal Engine, the popular game engine.

Comment by neuronexmachina 1 day ago

Yeah, I was hoping it would be something to make it easier for agents to interface with Unreal Engine games.

Comment by pavlov 1 day ago

I was imagining a talking head avatar rendered in Unreal Engine, with lip sync and facial expressions driven by a multimodal LLM that produces the speech.

Comment by teamonkey 1 day ago

Unreal 5.8 has a MCP plugin

Comment by fremi 17 hours ago

[flagged]

Comment by 1 day ago

Comment by kelvo_ran 17 hours ago

[dead]

Comment by pushpendraw 19 hours ago

[dead]

Comment by jcmontx 1 day ago

Can I use it with my codex sub?

Comment by SparkyMcUnicorn 1 day ago

I think the biggest selling point of a codex sub vs a claude sub is that you can use codex subs in any harness you want.

Comment by jcmontx 17 hours ago

I didn't know, thank you!

Comment by faangguyindia 1 day ago

Codex offers an OAuth endpoint, which can be used in any harness of your choice. Note this is separate from their app-server setup; in this setup, you talk directly to the API.

Comment by im_down_w_otp 1 day ago

I’m sad to discover that this is not a mod for Unreal to extend TacOps with a clandestine gameplay mode which prioritizes stealth and spy craft.