The Open Runtime for AI Agents
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Updated
Oct 22, 2026 - Rust
The Open Runtime for AI Agents
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
A free, open-source book that explains how crypto actually works. 15 chapters covering Bitcoin, Ethereum, Solana, DeFi, MEV, market structure, custody, stablecoins, governance, quantum resistance, and prediction markets.
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Hands-on code, labs, and reference material by Omar Santos for building, securing, and operating AI agents in cybersecurity.
A curated list on AI token economics: what tokens cost, where they get wasted, and how to cut the bill. Tools, benchmarks, papers, and copy-paste configs for the token economy of LLMs and coding agents.
Open-source, local-first AI coding agent usage and cost dashboard for Claude Code, Codex, Cursor, OpenCode, Kiro, and Pi.
Elata Protocol is the smart contract suite for Elata's app ecosystem
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory via SQLite + FTS5, and enforces routing across 17 platforms through MCP + hooks. Works with Claude Code, Gemini CLI, VS Code Copilot, OpenCode, Codex CLI.
CLI and AI agent skills for the Tokenomist crypto data API: token unlocks, vesting, emissions, allocations, fundraising, burns and buybacks.
AI-Powered Crypto Analysis Dashboard!
Kyber-Weave is a DocGraph CLI, library, and MCP server that increases documentation and code quality while reducing agent token spend through an opinionated ontology and ranked, code-linked retrieval. Its CI tooling governs and scans documentation, skills, and agent definitions as supply-chain artifacts.
A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans detect them. Covers Solidity pattern mining, mint abuse detection, blacklist/fee manipulation signals, ML-inspired scoring models, and how to quantify ERC-20 token scam probability.
Toolkit based on cadCAD for performing automated routine tests and future predictions for a GEB deployment
This repository contains the Autonolas tokenomics part of the autonolas-v1 protocol.
A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.
A comprehensive guide to designing economically safe ERC-20 tokens using formal invariants and strict permission boundaries. Covers supply caps, fee ceilings, liquidity guarantees, transfer safety, oracle integrity, upgrade control, and economic threat modeling. Focused on real-world DeFi security and robust token design.
Use any AI model, locally or in the cloud, while tracking on-device token usage and collecting token telemetry data.
Agent-based economic and tokenomics simulation in Python with declarative scenarios, deterministic lineage, Monte Carlo runs, and reproducible artifacts.
A scientific exploration of Metabolic Tokenomics, the framework that models token economies as living metabolic systems. Examines how tokens burn, store, and circulate energy like biological cells, mapping catabolism, anabolism, liquidity flow, yield dynamics, and system health to design resilient, adaptive on-chain ecosystems.
To associate your repository with the tokenomics topic, visit your repo's landing page and select "manage topics."