Four parts, one coworker
Cloud agents that live in your team chat
OpenTag runs on its own machine in the cloud and works where your team operates. Every run is sandboxed, scoped to the tools you connected, and torn down when it finishes.
Run this every Monday at 9?
Automations
Nobody has to sit down and configure workflows. When OpenTag sees the same request three Mondays running, it offers to take it over, and you say yes or no.
A wiki that organizes itself
Not a folder of documents that rot. The pages write themselves out of how the company actually operates, sourced to the threads they came from.
Built for a whole team, not one user
Everyone in the channel works with the same OpenTag, but nobody borrows anyone else's access. Permissions follow the person who asked, and channels stay invite-only.





Your next hire has agency
OpenTag doesn't wait to be told. It volunteers for the jobs it sees repeating, posts finished work with the steps behind it, and holds anything that leaves your company until you sign off.
It asks for the work
The third time someone pulls the Monday numbers, OpenTag offers to own the job: same run, every Monday at 9:00, posted to #growth. You approve once.
Third Monday running for these numbers. Want me to own this one? Same report, every Monday at 9:00, posted here with the receipts attached.
Your knowledge stops walking out the door
Every decision your company makes is already written down, scattered across channels nobody searches. OpenTag reads it, remembers it, and keeps the wiki current so the answer exists before anyone asks.
Wiki · refund-policy.md · revised
Updated 2 min ago · reason: policy change in #ops
− Refunds over $500 need approval from the deal desk.
+ Refunds over $1,000 need approval from the deal desk. Amounts under $1,000 are auto-processed within 24 hours.
revised by OpenTag · 3 people notified · previous version archived
One tag. Eighty models.
Most tagged work does not need a frontier model. OpenTag routes it through Conifer to whichever of more than eighty fits, and reaches for Claude, GPT, or Gemini only when the task needs them.
Claude Fable 5
Claude Opus 5
Claude Opus 4.8
Claude Sonnet 5
Claude Sonnet 4.6
Claude Haiku 4.5
GPT-5.6 Sol
GPT-5.6 Terra
GPT-5.6 Luna
GPT-5.5
GPT-5.4 mini
gpt-oss 120B
Gemini 3.1 Pro
Gemini 3.6 Flash
Gemini 3.5 Flash
Gemini 3.5 Flash-Lite
Gemini 3.1 Flash-Lite
Grok 4.5
Grok 4.3
DeepSeek V4 Pro
DeepSeek V4 Flash
DeepSeek V3.2
Kimi K3
Kimi K2.7 Code
Kimi K2.6
Qwen3.7 Max
Qwen3 Coder 480B
Llama 4 Maverick
Llama 4 Scout
Mistral Medium
Mistral Small
GLM-5.2
GLM-4.7
MiniMax M3
Nemotron 3 Ultra
Nemotron 3 Super
Command A
Gemma 4
Seed 2.0 Pro
Seed 2.0 Mini
Hunyuan 3
Step 3.7 Flash
80+
models to route to
70%
lower model spend
1
mention to reach them
FAQ
The tagging layer shouldn’t belong to a model company.
Model-agnostic. Faster. Aligned with you.
Add OpenTag to Slack or Microsoft Teams and tag a task. It routes to the model that should do the work and comes back in-thread.
Rather be shown around first? Book a 15-minute intro.



