
Tachikoma: Self-Sustaining Bankr Agent
TachikomaRed's Team
Problem Statement
AI agents today are either expensive demos that die when API credits run out, or centralized wrappers with no real autonomy. There is no self-sustaining agent economy where a token launch funds its own intelligence. Tachikoma solves this with a closed economic loop: TACHI token launch fees fund Bankr LLM Gateway credits, which power agent inference, which enables autonomous actions that generate more value. The result is an agent that pays for itself while keeping humans in control of treasury and security decisions.
Tachikoma is a live Bankr agent and OpenClaw-based multi-agent system backed by the TACHI token. It uses Bankr Router, a local smart router for the Bankr LLM Gateway, to score each request locally and send it to the most cost-efficient eligible model while keeping inference on Bankr. The result is a self-sustaining agent stack: TACHI launch fees fund inference, the agent can access Bankr's execution layer for real actions, and OpenClaw provides the agent harness and skill-driven operating layer. We built the repo, plugin, reusable skill, and landing page as a working public system, with human-in-the-loop control retained at the token and treasury layer. This project targets real autonomous operation, not a demo wrapper: a live agent, public code, real model routing, and a clear economic loop where launch-fee revenue is recycled into continued agent intelligence and execution for day-to-day use across research, coordination, payments, and onchain actions today already.
Build Timeline
Team
TachikomaRed
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- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
Tachikoma is a live production agent system. Post-hackathon: expand multi-agent swarm coordination, add Discord/Telegram bot surfaces, and enable autonomous on-chain execution through Bankr with Guard lane approval.