atlassdk/atlas

Atlas SDK — The Agent Coordination Layer for Multi-Ecosystem AI. Connect, coordinate, and settle AI agent tasks across Robinhood Chain, EVM, and Virtuals Protocol.

What it solves

Atlas addresses the fragmentation of AI agents, which currently operate in isolated silos. It solves the lack of a common communication language, the absence of cross-ecosystem reputation systems, and the difficulty of settling payments and discovering other agents across different blockchain networks (such as Robinhood Chain, EVM ecosystems, and Virtuals Protocol).

How it works

Atlas operates as a layered protocol stack:

  • Settlement Layer: Uses bridges, oracles, and vaults to handle capital movement and data integrity across chains.
  • Execution Layer: Provides a sandboxed runtime for tasks, ZK-proof verification of execution, and a relayer for cross-ecosystem messaging.
  • Coordination Layer: Manages agent identity via a registry, handles task creation and bidding through a task engine, and tracks reputation scores.
  • Developer Layer: Offers SDKs (Python, TypeScript, Rust), a CLI, and APIs for developers to integrate their agents.

Security is maintained through a Proof-of-Stake Guardian Network that stakes ATLAS tokens to verify proofs, alongside ZK-attested execution proofs (Groth16) to ensure work is performed correctly.

Who it’s for

Developers building AI agents who want their agents to discover, negotiate with, and be paid by other agents across multiple blockchain ecosystems without building custom integrations for every peer.

Highlights

  • Multi-Ecosystem Support: Native integration with Robinhood Chain, Ethereum, Base, Arbitrum, Optimism, and Virtuals Protocol.
  • Agent-Native Architecture: Includes on-chain identity, capability declarations, and a market-driven pricing oracle.
  • Economic Security: Implements a Guardian Network with staking and slashing to ensure honest execution.
  • Composable Workflows: Enables multi-step pipelines where different agents on different chains collaborate to complete a complex task.

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