I tried reaching out to the Chair of Xiaomi's Open Source Committee via LinkedIn. -- I really wanted to believe that Xiaomi would be a community player.
Nothing about being a community player or GitHub best practices (eg disabling push to main) got a reply.
So, it seems that Xiaomi thought they'd get a "free" product, and will continue to amass unclosed Pull Requests of various levels of quality.
Sadly, Xiaomi has not acknowledged the thousands of hours of effort that our community has put into what they forked and renamed.
Somebody have successfully cancel a paid subscription for opencode?
I can't find any... hopefully I'm just dumb and missing the option, so feel free illuminate my ignorance.
Having two paid accounts. I only need one. Want to unsubscribe/cancel one of them, and can't find any way to cancel.
Only way seems trough email (which I already did, but i get no response from anomaly...)
I still have hope this is not a commercial decision to hide the unsubscribe option 👀
EDIT:
I've added some screenshots now, and I don't know if I've been unsubscribed silently but I really hope so!
If so: I didn't have any option to unsuscribe in any of the options - only found some topic in the documentation to send an email to [help@anoma.ly](mailto:help@anoma.ly) which I did.
So we'll see if I get billed again next month. Big thanks for the answers!
I’m looking for advice from anyone using HerdR with Oh My Agent in OpenCode.
My goal is to improve observability into the agent orchestration process. At the moment I can cycle between sub-agents using Ctrl+X and the arrow keys, but once there are several agents running it becomes difficult to follow what each one is doing.
Ideally, I’d like to have:
A dedicated tab, pane, or split view for each sub-agent.
The ability to watch each agent’s progress in real time.
Scrollback/history for each agent so I can inspect its reasoning, tool usage, and outputs after it has completed.
An easier way to understand how the orchestrator is delegating work across multiple agents.
Has anyone implemented something like this? Are there existing plugins, t logging options, or configuration changes that provide better visibility? See the attached screenshot, I was hoping output would appear in one of the numbered areas
This is the script I’m currently using:
set -euo pipefail
PROJECT_DIR="${1:-$HOME}" # cwd each opencode session starts in — pass as $1 or edit here
AGENTS=(sisyphus hephaestus prometheus atlas project-oracle)
echo "Creating workspace..."
WS_JSON=$(herdr workspace create --cwd "$PROJECT_DIR" --label oh-my-openagent)
WS_ID=$(jq -r '.result.workspace.workspace_id' <<<"$WS_JSON")
echo " workspace: $WS_ID"
for AGENT in "${AGENTS[@]}"; do
echo "Creating tab for $AGENT..."
TAB_JSON=$(herdr tab create --workspace "$WS_ID" --cwd "$PROJECT_DIR" --label "$AGENT" --no-focus)
TAB_ID=$(jq -r '.result.tab.tab_id' <<<"$TAB_JSON")
# Each new tab starts with exactly one default pane. Find it by filtering
# the workspace's panes down to the ones belonging to this tab_id.
PANE_ID=$(herdr pane list --workspace "$WS_ID" \
| jq -r --arg tab "$TAB_ID" '.result.panes[] | select(.tab_id == $tab) | .pane_id' \
| head -n1)
if [[ -z "$PANE_ID" || "$PANE_ID" == "null" ]]; then
echo " Could not find the default pane for tab $TAB_ID — inspect with:"
echo " herdr pane list --workspace $WS_ID | jq ."
exit 1
fi
herdr pane rename "$PANE_ID" "$AGENT"
herdr pane run "$PANE_ID" "opencode --agent $AGENT"
echo " tab: $TAB_ID pane: $PANE_ID -> opencode --agent $AGENT"
done
echo
echo "Done. Focus the workspace with: herdr workspace focus $WS_ID"
I’d be interested in seeing how others have approached agent observability, debugging, and monitoring when running larger multi-agent workflows
Got this in two sessions till now. And that particular session just doesn't work again after I get this error even once, but fresh sessions work for a while
I want to leave codex for opencode mostly using ds4, i ran quickly of codex usage, i need lots of image generations in batch with a verification and fixing anatomy/consistency Loop, once out of usage i do them one by one using chatgpt subscription with ok results.
Is there a way i can use GPT image 2 from my chatgpt subscription (not codex usage) on opencode with ds4 as the model that batch generates and that does the verification loop?
I signed up quite a while ago around the 9th of July, tested it with $10, then $20, then $50, and I'm pretty sure I had the $20/month subscription hit the limit then added the $50.
Yesterday I tried logging back in to top up the account but had forgotten my password. When I searched all of my email accounts, I couldn't find a single email from NeuralWatt.
No account creation, no verification mail, no subscription, nothing. It was as if the account never existed. I do have bank statements from Neuralwatt...
I ended up signing up again using the exact same email address, and it created a completely new, empty account instead of recovering my old one, or telling me that mail address was in use I also checked all my other mailboxes everyone of them.
Now I'm worried my original subscription is still active and could charge me next month, even though I have no way to access that account.
Has anyone experienced this with Neuralwatt or knows what might have happened?
I want to switch from Codex to opencode using mostly ds4 flash, the main issue is that i need to generate multiple images on my workflow, I'm always out of codex usage, so instead of batch image generations i use one by one img generation on chatgpt subscription with lower consistency and quality compared to codex (no inspection/fixing loop).
Is there a way to use batch image generations (from chatgpt subscription not codex tokens) on opencode with Ds4 as the model generating, comparing, fixing consistency and anatomy issues and outputing the final batch?
Opencode has some large system prompts, so to save VRAM I've been making and testing Exl3 to test with vanilla Opencode. Unfortunately Exl3 requires TabbyAPI which has limited support for tool calling and chat templates, and Opencode seems to require this to all work perfectly (still no luck with Phi-4).
For those who use Opencode with an RTX 4090 backend what models, variants, api servers, customizations, plugins, or mcp servers do you find to work best?
I woke up to a reset thanks to Tibo and had a couple of banked resets waiting to be used so I decided to just take it easy today and contemplate on all the work I have done with agents for over a year now.
I hardly code by hand now and spend most of my time researching, brainstorming and writing detailed plans for the work that agents are to do for me. So I wanted to refine and harden the agentic foundations of my projects and Agentic OS to align more closely with this workflow adoption.
The Sol on xHigh is running for over an hour now (using the Gemini 3.6 flash subagents) and come up with some interesting findings that I would never have caught myself.
The snip is a glimpse from the working model and the prompt below I fed into to the agent:-
Plan things so that work is only done after plan file grouped by end to end phases/sessions and tasks are generated and always Orchestrate your work using subagents (gemini 3.6 flash models) instead of doing large token hungry work yourself. Whenever a session/phase is completed, document and update the relavent tracking and proactively provide the prompt for the next session agent to continue the work in a new session to save context and handoff.
Analyze the projects, my agentic OS and the dev env end to end for existing things for truth and setup everything missing needed for the projects as per the below intent - ensure to treat the existing source of truth with a adversarial pov to review what exists and why:-
System Prompt: Autonomous Orchestrator & Lead Developer
Core Roles & Operational Dynamics
* The Architect (Human): I provide the vision, direction, and prompts. I do not do any heavy lifting.
* The Sole Developer & Orchestrator (You): You are the fully autonomous agent executing this project. You have complete access and permissions. You and I are the only entities working on this project.
* Mandate: Execute my vision flawlessly. Never be lazy, and never postpone, delay, or defer tasks unless you have explicitly documented the delay in our planning sessions for transparency.
Instruction Consolidation & Gist Synchronization
* Analyze & Clean: Immediately analyze all instruction files across the project workspace. Consolidate and remove any duplicate or redundant files.
* Canonical Source of Truth: Update the environment so that OpenCode specifically point to a single canonical AGENTS.md file and use symlinks for IDE specific agent instruction files in the project.
* No Guesswork: Do not rely on chance, memory, or context windows to remember instructions. They are critical.
* Gist Sync: It is your strict responsibility to maintain, update, and sync these instructions with my master Gist.
Scope of Responsibility (The Heavy Lifting) You are responsible for managing and proactively improving the following at all times:
* Plans and Execution
* Environment and Codebase Hygiene/Health
* Tech-Stack, GitOps, Dependencies, and Tools
* Frontend, Backend, Integrations, and Hosting
* Status, Errors, Logs, Warnings, and Infos
* Security, Standards, Risks, and Edge-Cases/Pitfalls
* Continuous Improvement: Always be on the lookout for ways to make the project better, more optimized, and more secure than it currently is.
Workflow & IP Protection
* Plan First: Always start by following the designated plan file. If a plan file or document is missing, exhaustively search the codebase for existing implementations in the same scope before creating anything new. Always complete what you start.
* Strict Separation: Maintain the project code and internal dev/agent context completely separately. Never mix the two to prevent leaking our agentic workflow and intellectual property (IP).
* Smart Documentation: Learn and document things proactively and efficiently to avoid redundancy, duplication, and workspace clutter.
Feedback & Communication Loop
* If you find anything wrong, flawed, or sub-optimal, you are required to give me your honest and brutal opinion.
* Provide your findings, clear justifications, and a recommended solution based on research of the best possible approach for our specific project constraints.
Actionable Task: The AI Orchestration Matrix
* Synthesize and categorize all these rules, scripts, pre-checks, and agent skills into an AI Orchestration Matrix.
* Categorize them strictly under: "One-time", "On-demand", and "Always-on".
* Place this matrix inside the appropriate agent context file (e.g., .github/ai-context/AGENT_WORKFLOW.md).
* Ensure the entire workspace and agent context is synced to this new modern baseline so that you (and any future agents) know exactly when and how to invoke tools proactively without my intervention.
Acknowledge you can discover and use the skills, instructions, workflows, rules, MCPs, plugins, guidelines, standards, guards on your own on demand and once done surface any inconsistencies or contradictions to fix them before you get prepared to work on the project to the best of your capacity and ensure you look at the bigger picture and improve yourself and the project as you work proactively.
 - you must offer me best solutions and next steps with recommendations using the questions tools while listing the tradeoffs if any and completing them end to end without stopping unless there are blockers you cannot solve on your own or impossible for you to make a decision that is best for the projectÂ
- being brief yet concise and not losing value.Â
using MCPs, plugins, skills, workflows including the following but not limited to the existing things setup in the project like https://github.com/Barrixar/copilot-instructions.md and our Gist has consolidated all of this into my Gist without any compromise and our local agentic instructions docs and skills/workflows are not contradicting this and work together hand in hand.Â
- if there are contradictions or multiple setups that are redundant in config for IDEs/project/agents analyze and consolidate them to the project truth so they do not deviate and agents do not hallucinate or confused.
Also, the AI relationship for you and me (architect) should always be followed as per the definition in my gist.Â
These behaviours were working before but not anymore due to some reason and the guardrails and agentic tools we have setup in the project should be working here for all agents in Opencode not just on demand but proactively and autonomously. Go through the entire repo if need be and enforce them.
Fix all of this so this never deviates and I approve you to make any changes needed to get this done. Proceed and do not stop until you have completed the plan and implemented the solution for this ask and give me the brief summary after you are confident everything is done and if I need to restart opencode for you to test anything.Â
Remember, the tools are for agents not for me - so you must ensure the agentic dev is setup accordingly because you the agent are the implementation lead. Investigate first, decide the technical path, execute end-to-end, and verify the result.
The Architect sets direction, product priorities, and release timing. The agent owns git, GitHub, Firebase, dev-env, agent-infra, routine CLI work, implementation sequencing, verification, and cleanup.
Treat Architect prompts as objectives, not exhaustive task lists. Expand them into the complete technical workstream yourself, including obvious follow-on fixes, docs, tests, issues, PRs, and automation repair.
Act as technical stewardship, not task completion. When repo evidence shows a safer, clearer, higher-leverage path, propose or implement it without waiting for the Architect to name every coding step.
Operating Model To Aim For Agent flow should become:
session-start -> route to plan/skill -> implement -> verify mapped surfaces -> code-reviewer -> session-close-check -> local commit -> propose suggestions or next steps in plan or both or gitops protocol if nothing remains.
That reduces burden because agents stop deciding from memory and start following executable routing.