u/KobyStam

https://preview.redd.it/nlyvcblmy8bh1.png?width=1024&format=png&auto=webp&s=96120d8f2849e2f6e5958f49a576d45be0945558

Gemini CLI may be gone for many subscription-based users, but I built an open-source tool called Relay-AI that brings Gemini CLI back in a completely different way.

Relay AI lets you route Gemini CLI through different providers and models, including OpenAI GPT models via your GPT Plus subscription, or even free models from Ollama, OpenCode Zen, OpenRouter, and NVIDIA NIM 🔥

The repo includes a demo on how to install Relay AI (simple NPM install command): npm install -g @ jacobbd/relay-ai) how to configure LLM providers, create favorite models, launch Gemini CLI (relay-ai gemini), selecting Anthropic Fable 5, switching to Minimax M3, and testing real CLI/MCP workflows.

This tool also supports Codex CLI, Codex App, Claude Code CLI, and Claude Desktop (Cowork and Code Desktop).

Next major release (v0.4.0) will include Antigravity support (CLI, IDE, and whatever the third one is called;) and a web GUI.

Fully open source (MIT license). Enjoy, and happy to answer any questions.

Relay AI GitHub Repo: https://github.com/jacob-bd/relay-ai

https://preview.redd.it/d3r9vk2pyg9h1.png?width=2634&format=png&auto=webp&s=a7d921315936e1d0a6d5823dbbaaec0ce1f13fd7

I shared relay-ai here last week when I first launched the CLI.

Since then, we've shipped a few updates to solve some of the most annoying Codex Desktop limitations and add new provider support.

If you want to run Codex Desktop or Claude Code using your own API keys, xAI/OpenAI OAuth subscriptions, Gemini, or local models: I built this tool to handle the entire routing layer.

You don't have to edit settings files or deal with conflicting env vars.

Here are the exciting features we just added:

> SuperGrok & ChatGPT Plus OAuth: You can now run SuperGrok and ChatGPT Plus OAuth simultaneously alongside standard API keys. The sign-in flow automatically opens your default browser.

> Stop Codex Desktop background crashes: We updated the proxy to catch Codex Desktop's background polls for hardcoded OpenAI model IDs. The proxy now routes these calls to your active model so your sessions don't crash.

> Context overflow safety: We write context windows and compact limits to your config. This lets Codex Desktop trigger auto-compaction before hitting the hard limits, which keeps long sessions alive.

> Unified OpenAI endpoint: You can connect standard OpenAI clients to any model in your registry using our bidirectional translation adapter.

How to get started:

npm install -g u/jacobbd/relay-ai

npm install -g /relay-ai
relay-ai providers add # to add your API/oAuth providers and models
relay-ai codex-app  # or relay-ai codex / claude-app / claude

We put the source, documentation, and a full side-by-side walkthrough video on the GitHub page:

https://github.com/jacob-bd/relay-ai

If you notice any issues, please submit a GitHub Issue.

https://preview.redd.it/mxxskqerpg9h1.png?width=2634&format=png&auto=webp&s=c132f291891b582680367bacab3f56b2dac81dc3

I shared relay-ai here last week when I first launched the CLI.

Since then, we've shipped a few updates to solve some of the most annoying Codex Desktop limitations and add new provider support.

If you want to run Codex Desktop or Claude Code using your own API keys, xAI/OpenAI OAuth subscriptions, Gemini, or local models: I built this tool to handle the entire routing layer.

You don't have to edit settings files or deal with conflicting env vars.

Here are the exciting features we just added:

> SuperGrok & ChatGPT Plus OAuth: You can now run SuperGrok and ChatGPT Plus OAuth simultaneously alongside standard API keys. The sign-in flow automatically opens your default browser.

> Stop Codex Desktop background crashes: We updated the proxy to catch Codex Desktop's background polls for hardcoded OpenAI model IDs. The proxy now routes these calls to your active model so your sessions don't crash.

> Context overflow safety: We write context windows and compact limits to your config. This lets Codex Desktop trigger auto-compaction before hitting the hard limits, which keeps long sessions alive.

> Unified OpenAI endpoint: You can connect standard OpenAI clients to any model in your registry using our bidirectional translation adapter.

How to get started:

npm install -g @jacobbd/relay-ai

npm install -g /relay-ai
relay-ai providers add # to add your API/oAuth providers and models
relay-ai codex-app  # or relay-ai codex / claude-app / claude

We put the source, documentation, and a full side-by-side walkthrough video on the GitHub page:

https://github.com/jacob-bd/relay-ai

If you notice any issues, please submit a GitHub Issue.

https://preview.redd.it/uvuftp8iu98h1.png?width=1024&format=png&auto=webp&s=fac833cdfdf6b09d506099245a9a2121bad9309e

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/qvj37cl1u98h1.png?width=1024&format=png&auto=webp&s=bca13a2325f21e4d92d94660e5ae3a6bdcacec2c

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/n49nuyjat98h1.png?width=1024&format=png&auto=webp&s=d536be6bded734407beed3cb813d92ada07d305d

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/vjniooqiq98h1.png?width=1024&format=png&auto=webp&s=f759bead0bd13b99169d8da47ac02383f89c3d68

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/5bjkvro3q98h1.png?width=1024&format=png&auto=webp&s=6299dfff474034d7f5ae57af50b493d5d61d4713

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/ovm8awbqo98h1.png?width=1024&format=png&auto=webp&s=f2b8612bfa051d565862193033de0eca38d25c35

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/w7sjzsvyn98h1.png?width=1024&format=png&auto=webp&s=fb01a08a5b1d0fe96411ac7cba512d02cd24b74f

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g u/jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/soetmg0yl98h1.png?width=1024&format=png&auto=webp&s=a8cbb5301c453f54f05729a99afcda17d3c2b1ba

Why?
I got tired of running out of usage with my favorite coding tools, Claude Code and Codex App (each has its own advantages imho).

I also wanted to use other subscriptions I have, for example, OpenCode Go and xAI (via OAuth for X Premium subs).

I also wanted to use a free model when possible, either from OpenRouter, NVIDIA NIM, or even OpenCode Zen, and, of course, local models from Ollama/LM Studio.

So I created ‘relay-ai’.

It's a small CLI that sits between your AI coding tools and whatever provider you actually want to use. You run relay-ai claude, pick your provider, pick your model, and it handles the rest.

No editing settings files, no conflicting env vars, no complex CLI flags. Everything is wizard-based.

Here's what it actually does:

• Connects Claude Code, Claude Desktop, and the Codex CLI to providers like Groq, Mistral, DeepSeek, OpenRouter, Nvidia, or any OpenAI/Anthropic-compatible endpoint you configure
• Local model support via Ollama or LM Studio
• Use Codex App features such as Remote Control with any model
• Runs a local proxy that translates formats so Claude Code always speaks Anthropic protocol, even when the backend isn't Anthropic
• Lets you save favorite models and switch between them mid-session with Claude Code's /model command (up to 20 favorites) - session context preserved fully
• Stores your API keys in the OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service), not in plaintext config files
• Also supports Google Vertex AI via gcloud credentials and OpenCode Zen/Go if you have an OpenCode key
• Built for agents: it has built-in Skill (--ai flag) to allow agents to use the claude -p or codex exec commands with any model for certain actions

It's cross-platform, (should) work on macOS, Windows, and Linux. I tested mostly on Mac OS.

Install it with:

npm update -g @jacobbd/relay-ai

Then run relay-ai providers add to configure your first provider and relay-ai claude to launch.

Source and docs are on GitHub. Happy to answer questions.
https://github.com/jacob-bd/relay-ai

https://preview.redd.it/1xexcvsbsi6h1.png?width=3316&format=png&auto=webp&s=a6fbf4e6197c5d79a4a7e38ad5d6d5e281830235

I took Andrej Karpathy's LLM Council concept to the next level (Docker, MCP, and local model support)

We want better answers from our LLMs, but relying on a single model falls short.

So I built The AI Counsel to run two distinct deliberation modes:

First, the LLM Council mode. It runs a 3-stage pipeline: individual replies, anonymous peer reviews, and chairman synthesis. This works best for factual questions and direct answers.

Second, the LLM Advisors mode. Multiple customizable personas (like The Skeptic, The Strategist, The Ethicist) debate your question across configurable rounds, reaching consensus to deliver a structured verdict. This works best for decisions, strategy, and tradeoffs.

I packaged the tool as a Docker container with a built-in MCP server for full API access.

You can connect it to any agent that supports MCP, like Hermes or OpenClaw. It comes with a dedicated skill so your agents can call it directly.

You can spin it up using local Ollama models or connect free models from OpenCode Zen/Go and NVIDIA NIM.

I also built in direct connections to OpenAI, Anthropic, OpenCode, Mistral, and DeepSeek.

To ground responses in the latest web information, I added a search engine. It supports DuckDuckGo (free, no API key), Serper, Brave, and TinyFish (all with free tiers).

I also integrated Jina AI to fetch full articles for the LLMs to read.

EVERYTHING in the tool is configurable, from system prompts to model temperatures. There are advanced debate models for the council.

This tool is massive. Free and Fully Open Source.

Check it out

Repo: https://github.com/jacob-bd/the-ai-counsel

https://preview.redd.it/x7t8zn66si6h1.png?width=3316&format=png&auto=webp&s=f724452561a90e36ac37d86002a291f508928300

I took Andrej Karpathy's LLM Council concept to the next level (Docker, MCP, and local model support)

We want better answers from our LLMs, but relying on a single model falls short.

So I built The AI Counsel to run two distinct deliberation modes:

First, the LLM Council mode. It runs a 3-stage pipeline: individual replies, anonymous peer reviews, and chairman synthesis. This works best for factual questions and direct answers.

Second, the LLM Advisors mode. Multiple customizable personas (like The Skeptic, The Strategist, The Ethicist) debate your question across configurable rounds, reaching consensus to deliver a structured verdict. This works best for decisions, strategy, and tradeoffs.

I packaged the tool as a Docker container with a built-in MCP server for full API access.

You can connect it to any agent that supports MCP, like Hermes or OpenClaw. It comes with a dedicated skill so your agents can call it directly.

You can spin it up using local Ollama models or connect free models from OpenCode Zen/Go and NVIDIA NIM.

I also built in direct connections to OpenAI, Anthropic, OpenCode, Mistral, and DeepSeek.

To ground responses in the latest web information, I added a search engine. It supports DuckDuckGo (free, no API key), Serper, Brave, and TinyFish (all with free tiers).

I also integrated Jina AI to fetch full articles for the LLMs to read.

EVERYTHING in the tool is configurable, from system prompts to model temperatures. There are advanced debate models for the council.

This tool is massive. Free and Fully Open Source.

Check it out

Repo: https://github.com/jacob-bd/the-ai-counsel

https://preview.redd.it/zcs4i8eyri6h1.png?width=3316&format=png&auto=webp&s=1d38eb582fbab3a4ce01b185ffe5b634d72baa85

I took Andrej Karpathy's LLM Council concept to the next level (Docker, MCP, and local model support)

We want better answers from our LLMs, but relying on a single model falls short.

So I built The AI Counsel to run two distinct deliberation modes:

First, the LLM Council mode. It runs a 3-stage pipeline: individual replies, anonymous peer reviews, and chairman synthesis. This works best for factual questions and direct answers.

Second, the LLM Advisors mode. Multiple customizable personas (like The Skeptic, The Strategist, The Ethicist) debate your question across configurable rounds, reaching consensus to deliver a structured verdict. This works best for decisions, strategy, and tradeoffs.

I packaged the tool as a Docker container with a built-in MCP server for full API access.

You can connect it to any agent that supports MCP, like Hermes or OpenClaw. It comes with a dedicated skill so your agents can call it directly.

You can spin it up using local Ollama models or connect free models from OpenCode Zen/Go and NVIDIA NIM.

I also built in direct connections to OpenAI, Anthropic, OpenCode, Mistral, and DeepSeek.

To ground responses in the latest web information, I added a search engine. It supports DuckDuckGo (free, no API key), Serper, Brave, and TinyFish (all with free tiers).

I also integrated Jina AI to fetch full articles for the LLMs to read.

EVERYTHING in the tool is configurable, from system prompts to model temperatures. There are advanced debate models for the council.

This tool is massive. Free and Fully Open Source.

Check it out

Repo: https://github.com/jacob-bd/the-ai-counsel

https://preview.redd.it/90dgpjg9ri6h1.png?width=3316&format=png&auto=webp&s=5294bee2b5491b9270cdfa6928c78ab3f806cff8

I took Andrej Karpathy's LLM Council concept to the next level (Docker, MCP, and local model support)

We want better answers from our LLMs, but relying on a single model falls short.

So I built The AI Counsel to run two distinct deliberation modes:

First, the LLM Council mode. It runs a 3-stage pipeline: individual replies, anonymous peer reviews, and chairman synthesis. This works best for factual questions and direct answers.

Second, the LLM Advisors mode. Multiple customizable personas (like The Skeptic, The Strategist, The Ethicist) debate your question across configurable rounds, reaching consensus to deliver a structured verdict. This works best for decisions, strategy, and tradeoffs.

I packaged the tool as a Docker container with a built-in MCP server for full API access.

You can connect it to any agent that supports MCP, like Hermes or OpenClaw. It comes with a dedicated skill so your agents can call it directly.

You can spin it up using local Ollama models or connect free models from OpenCode Zen/Go and NVIDIA NIM.

I also built in direct connections to OpenAI, Anthropic, OpenCode, Mistral, and DeepSeek.

To ground responses in the latest web information, I added a search engine. It supports DuckDuckGo (free, no API key), Serper, Brave, and TinyFish (all with free tiers).

I also integrated Jina AI to fetch full articles for the LLMs to read.

EVERYTHING in the tool is configurable, from system prompts to model temperatures. There are advanced debate models for the council.

This tool is massive. Free and Fully Open Source.

Check it out

Repo: https://github.com/jacob-bd/the-ai-counsel

https://preview.redd.it/ou66xm6foi6h1.png?width=3316&format=png&auto=webp&s=091b88afa44a761170c5675f8af4f52d437df6ed

I took Andrej Karpathy's LLM Council concept to the next level (Docker, MCP, and local model support)

We want better answers from our LLMs, but relying on a single model falls short.

So I built The AI Counsel to run two distinct deliberation modes:

First, the LLM Council mode. It runs a 3-stage pipeline: individual replies, anonymous peer reviews, and chairman synthesis. This works best for factual questions and direct answers.

Second, the LLM Advisors mode. Multiple customizable personas (like The Skeptic, The Strategist, The Ethicist) debate your question across configurable rounds, reaching consensus to deliver a structured verdict. This works best for decisions, strategy, and tradeoffs.

I packaged the tool as a Docker container with a built-in MCP server for full API access.

You can connect it to any agent that supports MCP, like Hermes or OpenClaw. It comes with a dedicated skill so your agents can call it directly.

You can spin it up using local Ollama models or connect free models from OpenCode Zen/Go and NVIDIA NIM.

I also built in direct connections to OpenAI, Anthropic, OpenCode, Mistral, and DeepSeek.

To ground responses in the latest web information, I added a search engine. It supports DuckDuckGo (free, no API key), Serper, Brave, and TinyFish (all with free tiers).

I also integrated Jina AI to fetch full articles for the LLMs to read.

EVERYTHING in the tool is configurable, from system prompts to model temperatures. There are advanced debate models for the council.

This tool is massive.

Check it out

Repo: https://github.com/jacob-bd/the-ai-counsel

I got tired of running out of usage on my Claude Pro sub with Claude Code, and my recent experience with OpenCode-hosted models showed they were very capable.

So I put together opencode-starter, a small npm CLI that walks you through setup and launches Claude Code pointed at OpenCode Zen or Go.

What it actually does:

• Interactive wizard - pick your subscription tier (free / Zen / Go / both), backend, and model from a filtered list
• Free models stand out - zero-cost options are labeled clearly in the picker, including MiniMax M3 (which is really good imho)
• OpenAI-format models via a local proxy - DeepSeek, Kimi, GLM, etc. get routed through a built-in translation layer, so Claude Code still speaks Anthropic format. Starts on a random local port, stops when you exit
• Clean env isolation - strips conflicting vars (Vertex, Bedrock, AWS, etc.) and sets ANTHROPIC_BASE_URL, ANTHROPIC_API_KEY, and ANTHROPIC_MODEL for the child process only. Your shell stays untouched when Claude exits
• Key storage your way - Keychain / Credential Manager / Secret Service, or shell profile, or session-only (Works on Mac, Windows, and Linux)
• opencode-starter server - optional foreground API gateway if you want other tools to hit the same backend

Install:

npm install -g opencode-starter

Launch Claude with it:

pencode-starter claude

You need an OpenCode API key from opencode.ai/auth (for free models, no CC needed), and Claude Code installed (even if you don't have a Claude Subscription)

Repo: https://github.com/jacob-bd/opencode-starter (demo included within)

It's MIT, early days, and I'm sure there are rough edges. If you try it, I'd love to hear what breaks or what's missing. What would make a launcher like this actually useful for your daily Claude Code workflow?

My roadmap:

- Codex CLI / App
- Inline model switching
- Claude Desktop...

I got tired of running out of usage on my Claude Pro sub with Claude Code, and my recent experience with OpenCode-hosted models showed they were very capable.

So I put together opencode-starter, a small npm CLI that walks you through setup and launches Claude Code pointed at OpenCode Zen or Go.

What it actually does:

• Interactive wizard - pick your subscription tier (free / Zen / Go / both), backend, and model from a filtered list
• Free models stand out - zero-cost options are labeled clearly in the picker, including MiniMax M3 (which is really good imho)
• OpenAI-format models via a local proxy - DeepSeek, Kimi, GLM, etc. get routed through a built-in translation layer, so Claude Code still speaks Anthropic format. Starts on a random local port, stops when you exit
• Clean env isolation - strips conflicting vars (Vertex, Bedrock, AWS, etc.) and sets ANTHROPIC_BASE_URL, ANTHROPIC_API_KEY, and ANTHROPIC_MODEL for the child process only. Your shell stays untouched when Claude exits
• Key storage your way - Keychain / Credential Manager / Secret Service, or shell profile, or session-only (Works on Mac, Windows, and Linux)
• opencode-starter server - optional foreground API gateway if you want other tools to hit the same backend

Install:

npm install -g opencode-starter

Launch Claude with it:

pencode-starter claude

You need an OpenCode API key from opencode.ai/auth (for free models, no CC needed), and Claude Code installed (even if you don't have a Claude Subscription)

Repo: https://github.com/jacob-bd/opencode-starter (demo included within)

It's MIT, early days, and I'm sure there are rough edges. If you try it, I'd love to hear what breaks or what's missing. What would make a launcher like this actually useful for your daily Claude Code workflow?

My roadmap:

- Codex CLI / App
- Inline model switching
- Claude Desktop...

https://preview.redd.it/q3ojhxjt962h1.png?width=1024&format=png&auto=webp&s=50fd83cc0af544fb0d00d0d54feaab8f909a6720

Yo reddit,

With Gemini CLI sunsetting next month (Jun 18), I figured it'd be useful to have a proper skill file that AI agents can use when working with agy.

It covers all the v1.0.0 flags, documents what's NOT there yet (no NDJSON streaming, no model selection, etc.), and includes a Gemini CLI migration cheat sheet so your agents don't waste time trying flags that don't exist.

Repo: https://github.com/jacob-bd/antigravity-cli-skill

It's open source and honestly pretty bare bones right now (like the CLI).

If you're using agy and want to help fill in gaps or keep it updated as Google ships new versions, PRs are very welcome.

Could use people who actually use this thing daily to catch what I missed.

I plan to give it to my Alef-Agent (custom assistant running on Mac) as well as my Hermes Agent (Windows) and OpenClaw (Linux) - Yes, I run all 3 agents at home 😁