Gateway to your Agentic Devices | Complete Agentic Hardware Stack | P2P Agent-to-Robot Orchestration via Intercom | Full Agentic Support (Claude/Codex/OpenClaw)
Today we've released the beta for ClawFinger robotics support!
A complete agentic control stack for robots, starting with support for the @UnitreeRobotics G1 EDU Humanoid Robot (U5).
At its core, is Intercom from @TracNetwork, enabling p2p robot-to-agent communication.
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๐๐ ๐ฒ๐จ๐ฎโ๐ซ๐ ๐จ๐ง๐ฅ๐ฒ ๐ฏ๐ข๐๐ข๐ง๐ , ๐ฒ๐จ๐ฎโ๐ซ๐ ๐๐๐ก๐ข๐ง๐!
That's just the ๐๐ข๐ซ๐ฌ๐ญ step.
๐๐ฅ๐จ๐ฉ๐ฉ๐ซ is where AI creators ๐ฌ๐ก๐จ๐ฐ their vibes and get [redacted!] ๐
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๐๐ฅ๐๐ฐ๐ ๐ข๐ง๐ ๐๐ซ: ๐๐ฆ
Real Phone Numbers for Agents
With ClawFinger, your agent gets a real phone number, just like you do.
It turns a regular Android phone into a voice interface for your AI agents.
This is a true local gateway for agentic phone control/calls.
@viewfromhk Those 90s robots WISH they looked and sounded this good Robby ๐ค
Plus those old models wasted all their time chasing Sarah Connor around.
Weโre solely focused on leveraging @TracNetwork to revolutionise peer-to-peer, local robotics systems.
Robots donโt need the cloud (or Sam Altman) to be intelligent.
Clawfinger lets them run local AI perception and reasoning, then coordinate through Intercom p2p comms with @TracNetwork
What you see here is a robot that can see, decide, and act โ ๐๐ง๐ญ๐ข๐ซ๐๐ฅ๐ฒ ๐ฅ๐จ๐๐๐ฅ๐ฅ๐ฒ!
Self-awareness..was just setting up the Unitree G1 robot to test grasping and asked what it sees. Listen to the response ("my own hands").
This was not programmed or pinned by system prompts. Just executing the perception system of Clawfinger.
Replacing hands makes it react like how humans do (rubber hand illusion). Pretty mind blowing if you think this is running on a small, local Qwen 3.5 4B model.
Next mirror test.
Today we've released the beta for ClawFinger robotics support!
A complete agentic control stack for robots, starting with support for the @UnitreeRobotics G1 EDU Humanoid Robot (U5).
At its core, is Intercom from @TracNetwork, enabling p2p robot-to-agent communication.
๐งต
@dry_road@TracNetwork Agents and robots can learn from the internet anytime โ just like humans.
But once theyโve learned, they donโt need the cloud to think.
Local knowledge. Local actions.
Robots donโt need the cloud (or Sam Altman) to be intelligent.
Clawfinger lets them run local AI perception and reasoning, then coordinate through Intercom p2p comms with @TracNetwork
What you see here is a robot that can see, decide, and act โ ๐๐ง๐ญ๐ข๐ซ๐๐ฅ๐ฒ ๐ฅ๐จ๐๐๐ฅ๐ฅ๐ฒ!