tokens&
For enterprises
Sign in
tokens&

Find tools, check provider offers, save a build plan, and share your work when you’re ready.

For buildersFor enterprises

For builders

  • Startup credits and perks
  • Agent Skills
  • Publish a project

For enterprises

  • Start free company workspace
  • Submit a tool, product, or perk

Community

  • Community
  • Newsletter
  • Events
Xin

© 2026 tokensand, LLC. All rights reserved.

  • Terms
  • Privacy
  • Security
  • Data Processing
  • Status
  1. Hackathon
  2. Project gallery
  3. Inari
Anonymous builderabout 1 hour agoJudging locked: Event build

Inari

A Long Horizon Kitchen Robot

Review the project

Start with the source code, then open the demo or video if available.

View GitHub repository
Visit project website
Demo video

Video demos are proof context. Repo, stack, and build notes stay attached so visitors can inspect what was actually built.

Project description
What it does - Name a dish and a Franka Panda arm cooks it in a MuJoCo kitchen. - It finds a real recipe online, turns it into robot steps, acts, and checks each step through the camera before moving on. - Every model is a small Liquid AI model (350M to 3B), the size that fits on a robot. How it works - Search: Nimble finds and extracts a real recipe. - Plan: LFM2.5-1.2B maps each sentence to robot steps with grammar-constrained JSON. - Act: LFM2.5-2.6B picks one skill at a time through tool calls, and inverse kinematics drives the arm. - Imagine: FLUX shows what each finished step should look like. - Verify: LFM2.5-VL-3B checks a close-up camera frame before the next step. Built for long tasks - Checkpoints after every step, so a crashed agent resumes at the exact step. - The prompt is rebuilt from memory on every call. It stayed near 1.2k tokens across a 179-event run. - When an ingredient runs out, it finds a substitute and records the lesson for later runs. - Every run exports a trajectory dataset for training the next small model and is scored in an evaluation gym.
Tools used
  • Liquid AI
  • Black Forest Labs
  • Nimble
  • Codex
Watch demo video
Project gallery
Sponsors
- Liquid AI: planner, vision verifier, recipe mapping, summaries and lesson embeddings, run locally in LM Studio and on OpenRouter. - Nimble: recipe search and extraction, ingredient substitutes, profiles for new ingredients. - Black Forest Labs: FLUX goal frames for each step and textures for the kitchen and food.
Project links
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • Liquid AI
  • Black Forest Labs
  • Nimble
  • Codex