OpenLLM retweeted
We're live on @ProductHunt
you already pay for claude, chatgpt, grok, api keys, local models. each one is stuck in its own app
now it's one key. use it in your coding agent, or inside the chatgpt app
hit a limit, it keeps going on the next one @OpenLLMsh
OpenLLM retweeted
we jailbroke the ChatGPT app
Use Claude, Kimi, Grok, or even self-hosted models inside of it with remote sessions
OpenLLM retweeted
USE YOUR AI SUBSCRIPTIONS, LOCAL INFERENCE, API KEYS - WHEREVER YOU WANT
@OpenLLMsh
OpenLLM retweeted
Your AI subscriptions just left your laptop.
One Mac mini at home or remote server.
One OpenLLM key.
Claude, ChatGPT, Cursor, Grok and Kimi in n8n, Zapier, GitHub Actions, your agents and your phone.
OpenLLM retweeted
SF Tech Week told us they needed OpenLLM in the ChatGPT App
We shipped it
$ ollm chatgpt
What do you do when @ChatGPT is slow?
We just pushed the SDK routing strategy enabling @OpenLLMsh users easily run @NousResearch @openclaw and really any other flagged harness with their @claude_code subscription without any additional setup required.
Welcome back to Hermes Agent, Claude
New official plugin that uses Claude SDK without the tradeoffs to enable Claude Code subscriptions to work in Hermes Agent again!
Check it out and install it here: hermes-agent.nousresearch.co…
Medium post summarizing our powerful feature set ->
medium.com/@0xxmemo/getting-…
Just a little demo showcasing our wild v1 surface support ( chat/media ), it may be @ChatGPT @grok @cursor_ai @claudeai whichever you got or api if you prefer that, you get the full capabilities of them all in a single aggregator @OpenLLMsh
Hit me up and I will personally onboard you to openllm.sh?v=2
OpenLLM retweeted
The @deepseek_ai harness plug-in is here!
One npm install and your dsh agents run on all your subs and API keys through OpenLLM, with fallback chains, unified memory and context built in.
Full setup below
As we are starting to ship lots of external integrations for @OpenLLMsh we updated our installer:
curl -fsSL openllm.sh/install | bash
to handle onboarding when called without credentials, and it will gracefully update if you are already running the service, lets go!
OpenLLM retweeted
Tomorrow: Open-Source AI in Practice with OpenLLM.
OpenLLM is building a way to put the models you already pay for behind one developer interface.
Instead of maintaining separate integrations for Claude, ChatGPT, Kimi, custom endpoints, and other providers, OpenLLM provides OpenAI- and Anthropic-compatible APIs, routing and fallback chains across providers, and tooling designed to work across your app, IDE, and CLI.
For subscription-backed providers, OpenLLM’s local daemon delegates to the vendors’ official CLIs on your machine, so subscription credentials stay local rather than being sent through Open LLM’s servers.
Their GitHub stack also includes:
• Protocol — shared runtime contracts
• Wire — transforms between Anthropic, OpenAI, and Responses formats
• Tunnel — consumer ↔ relay ↔ daemon transport
• Daemon — local runtime for subscription-backed providers
• CLI — openllmc, including an MCP gateway, semantic search, and memory
Tomorrow’s workshop will get into the practical side of building with this kind of infrastructure: model routing, agentic workflows, evaluation, reliability, and how developers can build on and contribute to the Open LLM stack.
If you’re an AI engineer, software developer, technical founder, researcher, student, or just someone building aggressively with Claude/ChatGPT and wondering why every model needs a different integration — come build with us.
Coffee & Code Philadelphia × Open LLM
Sign up: openllm.sh
GitHub: lnkd.in/ejfspcQp
Bring your laptop. This is meant to be a hands-on technical session, not a product pitch.
📅 Friday, August 21
⏰ 2:00–3:30 PM EDT
📍 Pennovation Works
3401 Grays Ferry Ave, Philadelphia
Coffee & Code Philadelphia × OpenLLM
Workshop RSVP:
lnkd.in/dEqV9fCi
#AIEngineering #AgenticAI #LLM #OpenSource #DeveloperTools #PhiladelphiaTech #CoffeeAndCodePhiladelphia
@OpenLLMsh
🤖 Made with AI
OpenLLM retweeted
If you don't run LLM Models behind your gateway or router, you are an auto complete user.
OpenLLM retweeted
Replying to @alex_frantic
One tweak makes it way stronger: don't run all reviewers on the same model.
Same model = same blind spots.
You can run this with each reviewer on a different lab (Opus, GPT, Kimi) through subscriptions via OpenLLM.
That's where the magic happens
OpenLLM retweeted
Tired of juggling Claude Code, Codex, Kimi and Grok in separate setups?
We're opening the OpenLLM Founding 100: first 100 devs get 3 months free (no card) to run every model you pay for behind one key, with fallback and instant model switching.
All we ask back is real feedback. Apply in below:










