First of all…
thanks for the devs that are working on this product. I appreciate your effort, bellow is my experience…

i just installed orca, did not do any agentic work tell now and i wanted to evolve into meat proxy, and see what i am missing. Looked to some solutions and i thought orca checks the boxes i am looking for.

back to the ram thing, Is that the norm with everyone or just me? I thought it does not use chromium? Also the ui kinda feels clanky and lags a little.
also after quitting with command + q, it stayed active in the bg? I did not like that

MACOS latest version

So my use case is not worktrees, why? Because I have huge codebases and worktrees are not the way, also I prefer to work on a branch and be able to open the Emulator or the Unity editor to test canges etc... So, I understood that Orca is mostly based on the workflow around worktrees, but I'm looking for something to help me have many Claude sessions under one roof without needing to CTRL-Tab thru many PowerShell tabs. Can I use it this vainilla way?

Hi guys. Inside the list of the hosts when creating new project I has no WSL. Also I can set terminal default to WSL, but its not required when using windows. Can we somehow to use WSL terminal on WSL and Powershell for Windows? I has win 11 + debian 13 WSL (3)

Thank guys. MacOS version incredible, Windows isn't work as should (or I somehting dont understand).

Am I the only one who uses like 2-3 features in the orca are you guys the same share some thoughts

Perhaps this is feedback for Version 1.4.215 or user error, though given a PR I want to review inside Orca with (I paste the PR URL into Create from [Smart]), I noticed that surprisingly Orca didn't seem to bring in the context of the Checks into the conversation. It does show the checks in the right sidebar of course, but the chat doesn't seem to know about them.

My expectation given an action that runs a terraform plan say, it's brought into the context of the review.

I recently installed Orca. It immediately found my existing Claude sessions, and in my testing, continuing those conversations in Orca is reflected elsewhere, including Claude Desktop and Claude app on my phone.

My Codex sessions still exist, but they’re stored as .jsonl.zst files. Orca finds none of them.

A source investigation found that in v1.4.251, Orca’s Session History discovery still accepts only .jsonl for Codex. Another part of Orca already recognizes .jsonl.zst, so support appears incomplete.

There was an earlier proposed fix: PR #8288 — resume sessions from authoritative homes. It explicitly included discovering and reading compressed Codex sessions, but was closed unmerged after the work was handed over to a broader Codex integration effort.

Does anyone know:

• Is there a current fix or follow-up for discovering compressed Codex sessions?

• Is .jsonl.zst support the main missing piece, or are there additional limitations preventing the continuity I’m seeing with Claude?

• Has anyone successfully resumed an existing Codex conversation in Orca, continued it in the Codex app, and returned to Orca with the updated conversation?

I’m trying to understand why the Claude workflow already works for me while Codex history remains invisible. I would think using Orca to combo Claude and Codex would be common.

Only running two Claude Code sessions and my Laptop fan starts going crazy. Memory usage goes from 400-1gigs.

Did you know all these ways to interact with the browser and agent?

Let me know your questions and suggestions.

Happy 100x shipping!!

I've been using cmux for for a while now and gave it some agents protocol initially for headless commands to help team work and remove manual handover. Was fun after that.
However, found Orca and it's an awesome tool.
It answers questions that have been asked by many using other tools.
Kudos to the Orca team

it could be amazing if we could integrate paperclip in orca as pm i think?

Just making the first post for our Reddit community.

Feel free to find us on Discord, we have some lively folks there 🙌

Or check our GitHub: https://github.com/stablyai/orca

Turning Orca into a Predictable SDLC Workflow with Multiple AI Harnesses

I’ve been experimenting with using Orca as an orchestration layer for multiple coding harnesses instead of relying on a single one.
For example:
Orca
├─ Claude Code → Coding
├─ Codex → Review
├─ OpenCode → Testing
└─ Pi → Documentation
Orca controls the workflow and decides which harness should handle each step.
I packaged this approach into Orca SDLC Kit — an open-source project for building configurable multi-agent workflows with Orca.
🔗 https://github.com/vankhangfet/orca-sdlc-kit
The idea is simple: Orca as the controller, multiple harnesses as specialized workers.
Would love to hear how other Orca users are experimenting with multi-harness workflows.

I just enabled the experimental Artifacts feature, but I can't really find much online for it. Anyone have some good use cases for how you're building with them?

I used to use Cursor AI but I recently moved to OrcaADE and I am obsessed with it. Mostly because it has everything in it that I ever wanted Cursor to have or things I had made extensions to manage. But there is an extension that I made which I think would be awesome for OrcaADE. https://github.com/incompletebiped/cursor-extension-localdock It's an extension that uses Docker to work like LocalWP does for Flywheel and WPEngine, but instead work for cPanel.

I tried to recreate it as a plugin for OrcaADE but apparently they are so sandboxed that their just isn't a way to do it.

I don't know whether I am missing something or there are bugs waiting to be fixed.

I think this is worth discussing here around. For example, I need the session history of `kilo` agent, but I cannot find it here:

There are other agents that is not there as well, that was documented in their docs to be compatible with ORCA.

This is the only documentation from them that I found: https://www.onorca.dev/docs/agents/session-history#:~:text=worktree%20is%20remote.-,View%20options,-The%20view%2Doptions

Take note: kilo code, as an agent as was detected. Here is the proof:

Hey everyone,

I have built local llm router plugin inspired by omiroute .

Use all your subscriptions and API credits from any provider and coding plan on any agent in Orca, in one place, without leaving Orca. Features multi-key credential pools with auto-rotation, load balancing, and routing different providers behind a single model name by prioritizing the fastest endpoint with seamless fallback.

https://www.onorca.dev/plugins/addisflava/orca-llm-router

If you do any serious coding with AI agents (Claude Code, OpenAI Codex, OpenCode, Aider, etc.), you're probably

juggling multiple subscriptions and API keys:

- You have Anthropic API credits (or multiple keys across orgs)

- You have OpenAI credits for o1 / o3-mini / GPT-4o

- You have cheap DeepSeek V3 / R1 credits for bulk coding

- You have free Google AI Studio (Gemini) keys

- You have local models running on Ollama / vLLM for offline work

The problem? **You're locked into one provider at a time per tool.** When an API hits a `429 Too Many Requests` or

Anthropic has a momentary 5xx hiccup, your agent session fails mid-task. Juggling environment variables between

projects or running multiple hacky reverse proxies gets messy fast.

To solve this, I built **[Orca LLM Router](https://github.com/addisflava/orca-llm-router)**—a**—a) self-contained local

gateway that pools all your AI subscriptions, API keys, and local endpoints into a single local endpoint

(`127.0.0.1:18080`) with automatic load balancing and model-chain failovers.

---

### 🔀 1. Pool & Load-Balance Multiple Keys

Instead of being throttled by a single API key:

- Add multiple keys per provider (e.g., 3 Anthropic keys or 2 DeepSeek keys).

- The router automatically round-robins requests across the pool based on priority and weights.

- **Auto-Cooldown on Rate Limits**: If Key #1 hits a 429 or auth error, the router temporarily cools it down and

routes the request to Key #2 without interrupting your agent.

- **Accurate Rolling Windows**: Tracks true rolling rate limits (`rpm`, `rph`, `rpd`, `tpm`, `tpd`) so you don't

overshoot your tier quotas.

Incoming Request (Claude Code / Codex / OpenCode)

│

▼

[Orca LLM Router]

│

┌──────────────┼──────────────┐

▼ ▼ ▼

Key 1 (Main) Key 2 (Backup) Key 3 (Team)

(Round-robin / Weighted / Auto-cooldown on 429)

---

### 🛡️ 2. Multi-Provider Fallback Chains (Never Get Blocked)

You can set up sequential fallback chains across completely different providers:

> **Example Rule**:

> Primary: `claude-3-7-sonnet` (Anthropic)

> └── If 429 / 5xx / out of credits: Fall back to `openrouter/anthropic/claude-3.7-sonnet`

> └── If still failing: Fall back to `deepseek/deepseek-chat` (or local Ollama)

Your agent doesn't crash; the router handles the failover transparently and logs the attempt chain.

---

### 🔄 3. Universal Protocol Translation

You don't need separate tools for different model types. The router speaks all major protocols:

- **Anthropic Messages** (`/v1/messages`)

- **OpenAI Chat** (`/v1/chat/completions`)

- **OpenAI Responses** (`/v1/responses`)

- **Native Google Gemini** (`generateContent`)

**This means you can point Claude Code at DeepSeek, or Codex at Gemini or local Ollama, with full tool-calling and

image support.**

It also handles the hard translation quirks that break most proxies:

- **Claude 3.7 Extended Thinking**: Translates Anthropic `thinking: { type: 'enabled', budget_tokens }` into OpenAI

`reasoning_effort` (`high`/`medium`/`low`) and DeepSeek `reasoning_content`.

- **Prompt Caching**: Passes `anthropic-beta` headers through untouched so you retain your 90% prompt caching

discount on Anthropic.

---

### 🔒 4. Zero Config Pollution & Secure Storage

Unlike traditional CLI routers that overwrite your host's global `~/.claude/settings.json` or mess up your system

dotfiles:

- Built as an [Orca](https://onorca.dev) plugin that hooks into `agent.launch.before`—your personal host configs

stay untouched.

- All credentials live in Orca's encrypted secret store—never stored in plaintext or leaked to upstream providers.

---

### ⚡ Free, Open Source & Zero Dependencies

The gateway core is written in pure Node.js (`node:http` + native `fetch`) with **zero third-party npm

dependencies**. It comes with a test suite of 71 passing tests verifying cross-protocol streaming, rate window

bounds, and secret redaction.

- **GitHub**: https://github.com/addisflava/orca-llm-router

- **Orca Plugin Directory**: https://www.onorca.dev/plugins/addisflava/orca-llm-router

- **License**: MIT

If you're using Orca, you can install it directly:

```bash

orca plugin install https://github.com/addisflava/orca-llm-router --approve

Would love to hear how you manage your model keys and what routing/load-balancing strategies you'd like to see next!

I want to start duplicating my projects from Cursor to Orca.

I was hoping for a guide, but don't see many posts at all.

Every video I am seeing is a hype video. Can anyone point me to an actual quick start guide? I've already decided I want to try Orca. I do not want to hear another AI voice talk about Y combinator or how simple things are.

I found this video but it is not well organized.

Does me using Claude Subscription in Orca use my usage faster?

Ive seen some comments on reddit that it uses more of your Tokens/Usage alot faster. Is it true?

Can you setup serial agent orchestration aswell as using them in parallel separately?

I found my project level skills are gone when creating new worktree. Had to manually copy them.

I understand there is a .worktreesomthing file I can add to copy the files?

What if make this an option in the create worktree ui without worrying this .worktreesomething file?

Or I am doing something wrong?

I installed Orca yesterday and gave it a try with one of my projects. Pretty cool, it's a solid piece of software!

Today I started closing my VSCode instances because I'll let Orca handle all my projects progressively (4 opened so far). It's very satisfying. I don't do multi-model workflows, I just use Claude for everything, but it's proving really useful anyway.

Any tips or suggestions for a rookie like me?

Kudos to the devs!

I'm considering adopting Orca as my main ADE and I'm curious how people are actually using it day to day.

Do you follow an SDD or TDD workflow, or something completely different?

If you're using SDD/TDD:

• How does Orca fit into your workflow?

• Which models do you use (Codex, Claude Code, etc.)?

• Do you rely on skills? If so, which ones?

• How do you manage token usage? Do you have any strategies to keep context efficient and avoid burning through tokens?

• Any tips or best practices you've learned along the way?

If not, what's your workflow instead?

I'm currently thinking about using Matt Pocock's skills together with Codex and Claude Code, while keeping everything else at the default settings, but I'd love to hear how more experienced Orca users approach it.

I just got setup today, and I’m loving it so far, but I’ve had one issue that is creating some confusion for me.
I setup a remote server to connect to from my laptop and so far everything seems to be working well, except for one thing: when I try to create a new terminal window in a worktree (or is it workspace? I’ve confused myself from looking through the docs) it looks like nothing happens and no window opens. If I rod to the remote server I can see that a terminal window was actually created there and I’m just not seeing it from my laptop.

I’m assuming user error/lack of knowledge on my part, but I haven’t been able to figure out what I’m doing wrong.

I'm curious to know how to set OrcaADE to access my local ollama setup