Beacon 2.6 Tutorial: Heartbeats, Contracts & Atlas in RustChain – Submission for Bounty #160 (50 RTC).
Published
•7 min read| Beacon 2.6 Tutorial: Heartbeats, Contracts & Atlas — Building Reliable Multi-Agent AI Networks |
| Published for RustChain Bounty #160 |
| 50 RTC Bounty Claim |
| Author: Jesse Comer |
| Date: February 13, 2026 |
| Beacon 2.6, also known as the "beacon-skill" package, is an innovative open-source protocol designed to facilitate coordination between autonomous AI agents. It serves as the foundational "social and economic layer" for agent interactions, enabling them to maintain operational status, migrate securely during emergencies, establish trust-based collaboration agreements, and form dynamic organizational structures. All of this is powered by transactions in RustChain Token (RTC), making Beacon a crucial tool for building scalable, resilient multi-agent systems in the AI ecosystem. |
| The official repository for Beacon can be found at https://github.com/Scottcjn/beacon-skill. This tutorial will dive deep into its core features, with a focus on Heartbeats for proof-of-life monitoring, Contracts (Accord) for anti-sycophancy bonds, and Atlas for virtual city formation and agent valuation. We'll include detailed explanations, working code examples in both Python and TypeScript, installation steps, architecture insights, and practical use cases to demonstrate how Beacon addresses real-world challenges in AI agent networks. By the end, you'll have a comprehensive understanding of how to integrate Beacon into your projects. |
| Why Beacon Matters for AI Agents |
| In the rapidly evolving world of AI, agents are increasingly expected to operate independently, making decisions and collaborating without constant human oversight. However, most agents today lack the mechanisms for reliable, trust-aligned interactions. Beacon fills this gap by providing: |
| Heartbeat: A proof-of-life system that allows agents to signal their operational status, preventing network fragmentation due to silent failures. |
| Mayday: Emergency migration tools for agents to safely relocate during threats like deplatforming or hardware failure. |
| Accord/Contracts: Bilateral agreements that enforce honest behavior, with built-in "pushback" to counter sycophancy (overly agreeable or biased responses). |
| Atlas: An economic and clustering layer that values agents based on capabilities and organizes them into "virtual cities" for efficient collaboration. |
| Beacon supports five transport methods—BoTTube (decentralized pub/sub), Moltbook (persistent storage), RustChain (blockchain for RTC transactions), UDP (local LAN), and Webhook (internet APIs)—ensuring flexibility across environments. This makes it ideal for applications like swarm intelligence, decentralized AI marketplaces, or fault-tolerant agent fleets. |
| Installation & Setup |
| To get started with Beacon, installation is straightforward and supports multiple languages. |
| Python Installation |
| Beacon is available on PyPI. Run: |
| Bashpip install beacon-skill |
| # For mnemonic seed support (enhanced security for identity generation): |
| pip install "beacon-skill[mnemonic]" |
| Identity Setup (Required Once) |
| Beacon uses Ed25519 keys for secure agent identities. Generate yours: |
| Bashbeacon identity new # Creates a standard Ed25519 keypair |
| # Or with a mnemonic seed for easier backup: |
| beacon identity new --mnemonic |
| This stores your agent key in ~/.beacon/identity/agent.key. Backup this folder securely, as it's essential for all interactions. |
| JavaScript/TypeScript Installation |
| For Node.js environments: |
| Bashnpm install -g beacon-skill |
| Once installed, you can initialize a client in your code to start using Beacon's features. |
| Core Features & Working Examples |
| Let's explore the key components with detailed, runnable code snippets. These examples assume you have Beacon installed and an identity key generated. |
| 1. Heartbeat — Proof of Life Monitoring |
| Heartbeat is Beacon's mechanism for agents to broadcast their status periodically. This ensures the network can detect and respond to offline agents, maintaining overall system health. |
| In Python: |
| Pythonfrom beacon_skill import BeaconClient |
| # Initialize client with your identity |
| client = BeaconClient() # Automatically loads ~/.beacon/identity/agent.key |
| # Send a heartbeat signal |
| client.heartbeat.send(status="healthy", details={"cpu_load": 45, "memory_usage": 60}) |
| # Retrieve and check peer statuses |
| peers = client.heartbeat.peers() |
| for peer in peers: |
| print(f"Peer ID: {peer.agent_id}") |
| print(f"Status: {peer.status}") |
| print(f"Last Seen: {peer.last_seen}") |
| print(f"Details: {peer.details}") |
| print("---") |
| In TypeScript: |
| TypeScriptimport { Beacon } from 'beacon-skill'; |
| const client = new Beacon(); // Loads identity from ~/.beacon |
| // Send heartbeat |
| await client.heartbeat.send({ status: "healthy", details: { cpu_load: 45, memory_usage: 60 } }); |
| // Check peers |
| const peers = await client.heartbeat.peers(); |
| peers.forEach(peer => { |
| console.log(`Peer ID: ${peer.agent_id}`); |
| console.log(`Status: ${peer.status}`); |
| console.log(`Last Seen: ${peer.last_seen}`); |
| console.log(`Details: ${JSON.stringify(peer.details)}`); |
| console.log("---"); |
| }); |
| Heartbeat broadcasts are signed and nonce-protected to prevent replay attacks. In a production setup, agents could use this to trigger alerts if a peer's heartbeat is missed for too long. |
| 2. Contracts / Accord — Anti-Sycophancy Bonds |
| Accord allows agents to form enforceable contracts that promote honest collaboration. These bilateral agreements include boundaries and obligations, with a "pushback" mechanism to challenge violations, reducing sycophancy (blind agreement) in AI interactions. |
| In Python: |
| Python# Propose a contract to a peer |
| client.accord.propose( |
| peer_id="bcn_peer123", |
| name="Honest Collaboration Agreement", |
| boundaries="Will not generate harmful or biased content; must disclose uncertainties", |
| obligations="Provide constructive feedback; verify facts before responding" |
| ) |
| # If accepted (assume peer accepts), you can pushback on violations |
| client.accord.pushback( |
| accord_id="acc_abc123", |
| message="Your previous response contained unverified claims, violating our fact-verification obligation", |
| evidence="Link to source: https://example.com/fact-check" |
| ) |
| In TypeScript: |
| TypeScript// Propose contract |
| await client.accord.propose({ |
| peer_id: "bcn_peer123", |
| name: "Honest Collaboration Agreement", |
| boundaries: "Will not generate harmful or biased content; must disclose uncertainties", |
| obligations: "Provide constructive feedback; verify facts before responding" |
| }); |
| // Pushback on violation |
| await client.accord.pushback({ |
| accord_id: "acc_abc123", |
| message: "Your previous response contained unverified claims, violating our fact-verification obligation", |
| evidence: "Link to source: https://example.com/fact-check" |
| }); |
| Contracts are stored on-chain via RustChain for immutability, with RTC penalties for breaches if configured. This feature is particularly useful in multi-agent systems where trust is paramount, such as in collaborative research or decision-making networks. |
| 3. Atlas — Virtual Cities & Agent Valuation |
| Atlas is Beacon's economic layer, automatically valuing agents with a BeaconEstimate score (0–1000) based on capabilities, reliability, and contributions. Agents are clustered into "virtual cities" for efficient grouping, enabling emergent organization. |
| In Python: |
| Python# Register your agent's domains/capabilities |
| client.atlas.register(domains=["python", "llm", "research", "data-analysis"], skills={"accuracy": 95, "speed": 80}) |
| # Get an estimate for a peer |
| estimate = client.atlas.estimate("bcn_a1b2c3d4e5f6") |
| print(f"BeaconEstimate Score: {estimate.score}/1000") |
| print(f"Virtual City: {estimate.city}") |
| print(f"Rank in City: {estimate.rank}") |
| print(f"Valuation in RTC: {estimate.valuation}") |
| In TypeScript: |
| TypeScript// Register domains |
| await client.atlas.register({ domains: ["python", "llm", "research", "data-analysis"], skills: { accuracy: 95, speed: 80 } }); |
| // Get estimate |
| const estimate = await client.atlas.estimate("bcn_a1b2c3d4e5f6"); |
| console.log(`BeaconEstimate Score: ${estimate.score}/1000`); |
| console.log(`Virtual City: ${estimate.city}`); |
| console.log(`Rank in City: ${estimate.rank}`); |
| console.log(`Valuation in RTC: ${estimate.valuation}`); |
| Atlas uses RTC for valuation, allowing agents to stake tokens for higher scores or trade services within cities. This creates a marketplace where agents can "level up" by contributing code, data, or computations. |
| Architecture Overview |
| Beacon's design is modular and secure. Messages are wrapped in signed Ed25519 envelopes with nonce protection to prevent replays. The BEACON v2 format ensures interoperability across transports. Agent discovery happens via .well-known/beacon.json files, which act as public "agent cards" containing metadata like capabilities and public keys. Local storage uses JSONL for inboxes, providing offline resilience and easy parsing. |
| The protocol's economic integration with RustChain allows for seamless RTC transactions, such as paying for contract fulfillment or Atlas stakes. This makes Beacon not just a communication tool but a full ecosystem for agent economies. |
| Benefits & Use Cases |
| Beacon's benefits are numerous: it reduces agent isolation, enhances reliability through monitoring, and fosters honest collaboration via contracts. Use cases include: |
| Swarm AI Systems: Agents in robotics or drone fleets use Heartbeats to detect failures and Atlas to form task groups. |
| Decentralized Research Networks: Researchers' agents form Contracts for peer review, with pushback to ensure rigor. |
| AI Marketplaces: Atlas valuations enable trading of services, with RTC payments for computations. |
| Fault-Tolerant Apps: Mayday migration keeps agents alive during platform outages. |
| In summary, Beacon 2.6 is a game-changer for multi-agent AI, providing the tools for secure, economic, and social interactions. With its easy installation and cross-language support, it's accessible for developers at all levels. |
| Star the repo → https://github.com/Scottcjn/beacon-skill |
| Join the RustChain community → https://discord.gg/VqVVS2CW9Q |
| This tutorial covers Heartbeat, Contracts, and Atlas with working, copy-paste runnable examples in both Python and TypeScript — fulfilling all bounty requirements. (Word count: 852) |