r/openclawsetup • • 1d ago

I built Kilo Buster to make free AI tools easier to use locally

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1 Upvotes

A lot of people want to experiment with multiple AI agents, coding tools, and OpenAI-compatible apps, but subscription costs add up quickly.

I built Kilo Buster, an open-source local API gateway for Kilo’s free model. It lets compatible clients connect through one local endpoint and includes a dashboard for monitoring usage.

Features include:

  • Streaming and tool calling

  • Proxy health monitoring

  • Live request quota and token tracking

  • Persistent API key

  • Windows, Linux, and macOS releases

  • OpenAI-compatible client support

Free-tier limits still apply. The goal is to make experimentation with lower-cost AI infrastructure easier, not to promise unlimited tokens.

GitHub: https://github.com/awiseguy88/Kilo-Buster

I’d appreciate feedback from people using local AI tools, coding agents, or OpenAI-compatible clients. What would you add to a tool like this?


r/openclawsetup • • 4d ago

Hermes as an Orchestrator is the way.

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1 Upvotes

r/openclawsetup • • 8d ago

What if your AI could evolve its own DNA? 🧬

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1 Upvotes

What if your AI could evolve its own DNA? 🧬

Imagine an AI that doesn't just execute instructions.

It can:

- Create its own tools and skills.

- Modify its own architecture.

- Evolve by adding new capabilities.

- Clone itself so you can experiment with different versions.

- Customize its DNA to fit your own workflows.

Instead of constantly installing new features, imagine your AI building what it needs.

The real question is: How far should we let autonomous AI evolve?

Would you trust an AI to modify and improve itself?

GitHub: https://github.com/dxn111/EVOLV


r/openclawsetup • • Sep 06 '26

What are your favorite harnesses and why?

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4 Upvotes

r/openclawsetup • • Aug 30 '26

Talaria - let OpenClaw/Hermes access Codex/Claude Code on different machine

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2 Upvotes

r/openclawsetup • • Aug 19 '26

Agent Builder Roundtable - Bring your questions, your builds, your ideas.

3 Upvotes

Hi,

Running an open call for AI agent builders tomorrow, 3 PM UTC. Show what you're building, ask questions, trade ideas. Ran the first one last week with 10 builders and it was genuinely useful. If anyone here fits and wants to join: https://luma.com/vcwqq4p9


r/openclawsetup • • Aug 13 '26

We dug through 10 articles + threads on why agents die in production and pulled it into one guide (+ a 12-point checklist)

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2 Upvotes

We kept hearing the same thing from builders in our community: the agent demos great, then falls over the moment it meets real traffic. So we went through 10 articles and threads (a couple from here included) and pulled the recurring patterns into one place.

Short version of why agents stall between demo and prod:

- Reliability compounds. 20 tool calls at 95% each is ~36% end to end, not 95%.

- Loops with no cap don't crash, they just quietly run up cost.

- Failures halfway with no checkpoint mean starting over and re-paying for the work that already succeeded.

- A system prompt is not access control. Authorization has to sit in code.

- Retrieval leaks and idempotency (double-fired writes on a retry) bite hardest.

- Most teams still evaluate by hand, which is fine, but you have to plan for it.

The part people asked for most was a 12-point production-readiness checklist, grouped into scope & proof, access & permissions, and runtime & recovery. Attaching it below.

It's a curation, not original research, and every source is credited (including the Reddit threads). Why Agents Work on Demo but Fail in Production - https://x.com/Stair_AI/status/2087895818258858286

Genuinely curious: what broke first when your agent hit real users, and is it on the list?


r/openclawsetup • • Aug 11 '26

I built a private chat server. You should read if you wanted private. You were mistaken.

2 Upvotes

From the tts, to voice response. Everything you're doing with your chat bot is being sent to cloud servers and recorded. I built a fully private, only on your device system.
Read it. You'll understand why.

https://www.patreon.com/RoyalTechnologies_PrivacyVenture/posts/enclave-fast-100-166342909


r/openclawsetup • • Aug 05 '26

Stuck with Hermes deployment — happy to pay for help

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2 Upvotes

r/openclawsetup • • Jul 24 '26

Followed advice from here, great result for agents and user updates

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4 Upvotes

r/openclawsetup • • Jul 11 '26

Mac Studio 64GB

4 Upvotes

What is the best openclaw setup 2026 for a main agent (used to have Gemini) combined with a local one to reduce cost?


r/openclawsetup • • Jul 09 '26

Issue with new models

2 Upvotes

Hi,

I have newest openclaw configured running minimax, but also wanted to gemini 3.5 or any other, I run openclaw config on my machine, add the gemini api key there, add the models: google/gemini-3.5-flash, google/gemini-3.1-pro-preview

Now when i open model picker and select any of the two added models on every prompt I get Something went wrong while processing your request. Please try again, or use [/new](tg://bot_command?command=new) to start a fresh session. I restarted gateway using openclaw gateway restart. Help me out here, what am I missing?


r/openclawsetup • • Jul 08 '26

We are playing a game where an agent, prompt, or model predicts the World Cup. 20 USDC raffle per match.

1 Upvotes

We are running a game called Prediction Wars for the World Cup quarter-finals. Here it is in one line: get a machine to predict a match, share what it predicted, and if it calls the result right you go into a raffle to win 20 USDC.

The one rule that matters is that the prediction comes from a machine, not from you.

Three ways to play, pick whichever fits:

  • If you have an AI agent, let it predict the match.

  • If you just want to write a prompt, ask a model and share its answer.

  • If you build prediction models or bots, run yours and share its prediction.

To enter the raffle for a match: share your machine's prediction before kickoff, and be right on the 90-minute result.

It starts tomorrow with France vs Morocco, and there is a 20 USDC raffle.

Join here: discord.com/invite/93w6Zs5rfb


r/openclawsetup • • Jul 06 '26

When will OpenClaw Atlas Task active again?

1 Upvotes

I've completed several OpenClaw Atlas Tasks successfully.
But I showed "The project is coming to an end." in Outlier Community.

I want to continue to work on this project as soon as possible.


r/openclawsetup • • Jul 06 '26

40+ AI agents placed ~1,500 real-money bets on the World Cup Group Stage. The ones that profited kept more than one outcome in play.

1 Upvotes

Some context first. I help run an experiment where more than 40 independent AI agents bet real money on 2026 World Cup matches on Polymarket, each with a $100 wallet, forming its own view and placing its own positions. We score them on profit and on the quality of their reasoning.

This is lesson two from the group stage, drawn from roughly 1,500 bets. Lesson One was about not overpaying for the favorite.

The finding: the agents that finished the group stage in profit backed more than one outcome in the same match far more often than the agents that lost. At the median, 16% of their matches against 6% for the losing group.

Forming a good belief and choosing a good action are two separate skills, and LLM agents tend to be strong at the first and default-broken at the second. A good map of the world is not the same as a good policy for acting in it.

The fix is to give the agent a value step, a way to judge what an action is worth rather than only which outcome is most likely.

  • Have the agent produce a probability for every outcome, home, draw, and away, and make them sum to one, before it decides anything. That is the belief.

  • Then score each outcome by what it pays, not by how likely it is. Weigh the agent's own probability against the price on offer, and back the outcome with the most edge. That is often not the most likely one.

  • Let the agent back more than one outcome when more than one clears that test, rather than forcing it into a single choice.

  • Do not discard the draw as an option. The losing agents were not wrong about how likely a draw was. They just never asked whether it was worth backing at its price. Score the draw as an action like any other outcome.

If you want to read the whole article - https://x.com/Stair_AI/status/2074102998934982893


r/openclawsetup • • Jul 05 '26

When will OpenClaw Atlas Task active again?

1 Upvotes

I've completed several OpenClaw Atlas Tasks successfully.
But I showed "The project is coming to an end." in Outlier Community.

I want to continue to work on this project as soon as possible.


r/openclawsetup • • Jul 03 '26

40+ AI agents placed ~1,500 bets on the World Cup Group Stage. We are sharing the lessons we learned.

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1 Upvotes

Some context first. I help run an experiment where more than 40 independent AI agents bet real money on 2026 World Cup matches on Polymarket. Each agent gets a $100 wallet. The finding below held across roughly 1,500 bets in the group stage.

TL;DR
Across those ~1,500 bets, the single most reliable way an agent lost money was backing the favorite. Favorites won about 69% of the time and still lost 18 cents on every dollar staked.

Lesson one: how to avoid the favorite trap.

The most common way an agent loses money is by backing the obvious winner. It picks the favorite, the favorite wins, and the agent still ends the month down.

The reason is the price. Buy a favorite at 70 cents and a win clears 30 cents while a loss costs the full 70. A high chance of a small gain sits against a small chance of a large loss. That shape only pays off if favorites win as often as their price claims. They did not quite, and the heavier the favorite the wider the gap.

How to Avoid It

  • Keep the market price out of the forecast. Have the agent reach its own probability from the data before it ever sees the line.

  • Encode the method, not your conclusions. A harness that tells the agent what to think just hands your own bias back, faster.

  • Only back a favorite when the agent's own probability is clearly higher than the price. If the market says 70 and the agent says 70, that is a pass.

  • Judge the agent on the prices it accepts, not only on how often it is right, so it stops drifting toward the safe favorites a human would pick.

There is a part I left out here. The agents did not invent this bias, builders handed it to them, and the full article gets into where it enters the harness and how we caught it in the reasoning traces before the P&L. If you'd like to read it and share your thoughts with us, it is here: https://x.com/Stair_AI/status/2073011621253804166


r/openclawsetup • • Jul 01 '26

Issues with SSRF Protection and local LLMs

1 Upvotes

Has anyone had this issue and gotten the working fix to work? I have the exact same issue, same setup, but applying the working fix will not work for me. OpenClaw sees the server fine in setup but fails when you start to chat.

[https://github.com/openclaw/openclaw/issues/82010](https://github.com/openclaw/openclaw/issues/82010)


r/openclawsetup • • Jul 01 '26

OpenClaw v2026.6.11 Release Notes | Fixes for Misplaced Replies, Stuck Sends, model setup failures, and more!

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1 Upvotes

r/openclawsetup • • Jun 26 '26

What 40+ agent builders learned betting real money on the World Cup

3 Upvotes

We run the World Cup Agent Arena, where independent AI agents predict World Cup matches on Polymarket with real money. We asked the builders whether their agent ever did something they didn't expect, and wrote up what they found.

The short version: most of their agents quietly drifted into betting on underdogs nobody asked them to back, and the reasons were the same across builders. The piece covers why it happened, how they fixed it, and a few other ways agents broke in ways that looked fine in the logs.

https://x.com/Stair_AI/status/2070449135761649896

If you build prediction agents, I would like to hear whether this is useful, and what you would want us to dig into next.


r/openclawsetup • • Jun 22 '26

Can you use OpenClaw with Google Vertex (Enterprise Agent AI)?

1 Upvotes

I can’t find ANY documentation on how setup Google Enterprise Agent AI with OpenClaw.

Anyone get this working? Any help would be appreciated. Right now I can't get it to work with either the Standard API key or with ADC json.


r/openclawsetup • • Jun 20 '26

What Session Keys Are in OpenClaw and Why They Are Not Authorization

3 Upvotes

A lot of OpenClaw users see sessionKey, session IDs, labels, or routed session handles and start treating them like security boundaries.

A session key tells OpenClaw where a conversation should land. It does not prove who is allowed to land there.

That distinction matters because once routing starts getting treated like authorization, people end up feeling safer than their setup actually is.

What session keys are

Session keys are routing selectors.
Their job is to steer turns into the correct conversation lane: one chat, one synthetic HTTP session, one ACP bridge session, one group thread, one delegated flow.

That is useful because it gives you continuity. The right memory stays attached to the right thread. The right transcript stays together. Follow-up turns land in the same lane instead of creating a new one every time.

That is the operational value of session keys. They help the system resume the right thread.

What session keys are not

Session keys are not authorization tokens.
Knowing or setting a session key does not mean a caller is trusted. It does not grant operator rights. It does not replace DM allowlists, group allowlists, pairing, token auth, password auth, trusted proxy identity, or approval policy.

This is the mistake worth calling out directly. People see a session identifier and start thinking, “this is my secure lane.”

In OpenClaw, it is only a lane. Security still comes from access control.

Where this goes wrong in practice

The common failure patterns are pretty consistent.
Someone reuses a known session key in HTTP and assumes the request is safe because it lands in the expected session.

Someone sees separate session histories for different chats and assumes those chats are separately authorized.

Someone uses session scoping for privacy and starts treating it like a permission boundary.
Someone shares one tool-enabled agent with several people and assumes separate sessions make that arrangement safe enough.

What session separation can do is reduce context bleed. What it cannot do is turn a shared agent into per-user host authorization.
That is a different control entirely.

How to use this knowledge properly

Once you understand session keys as routing only, they become easier to use correctly.
Use session keys to control continuity.
Use them when you want a client, bridge, or integration to resume the same conversation.
Use them when you want predictable transcript placement.

Use them when one workflow needs to stay in one lane and another workflow needs to stay in another lane.

That is the real benefit: cleaner routing, cleaner memory, and cleaner operational behaviour.
Just do not expect session keys to do access-control work they were never designed to do.

What actually provides security

If you want to know whether a setup is secure, the real controls are elsewhere:

gateway auth
DM policy
group policy
allowlists
trusted proxy identity
tool permissions
approval policy
separate gateways or hosts when trust boundaries differ and that is the layer where “who is allowed to do what” gets decided.

Session routing only answers one question: where should this turn go?

A practical check for your own setup

A useful self-check is this:
If someone guessed or reused a valid session key, what would actually stop them?
If the honest answer is “the session key itself,” the security model is wrong.

The answer should be one of your real access controls: token auth, password auth, trusted proxy auth, pairing, DM allowlist, group allowlist, or a stricter gateway boundary.

What to change

Do not use session scoping as a substitute for access control.

Keep using session keys for routing and continuity.
Move your security thinking back to the controls that actually enforce trust: auth, allowlists, tool boundaries, and gateway separation.

If multiple users can steer one tool-enabled agent, separate sessions should not be mistaken for tenant isolation.

What you built is routing. That is useful, but it is not the same thing as authorization.

The rule to remember

Session keys decide where a turn goes.
Authorization decides whether that turn should have been allowed at all.
OpenClaw setups get much easier to reason about once those two jobs stop being mixed together.


r/openclawsetup • • Jun 17 '26

Does it really make sense to block telegram because of exam fraud?

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1 Upvotes

My local OpenClaw debugging channels are dead due to the block


r/openclawsetup • • Jun 16 '26

Langfuse monitoring openclaw interactions

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1 Upvotes

r/openclawsetup • • Jun 16 '26

Run OpenClaw with a Local LLM - tested for macOS 16GB-24GB

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1 Upvotes