Multi-Agent Coordination (Beads)
Relevant source files
The following files were used as context for generating this wiki page:
Introduction
Multi-Agent Coordination within the FLEXT platform, often referred to via the governance patterns in AGENTS.md and automated skills, facilitates the orchestration of specialized agents through a structured, script-first automation framework. This system ensures that agents operating within the flext-web ecosystem adhere to strict engineering laws, including MRO (Method Resolution Order) chain integrity, zero-debt baselines, and slot registry verification.
The coordination relies on a "self-contained skill architecture" where individual automation families (Beads) are encapsulated into distinct skill folders. These skills provide the necessary rules and workflows for agents to execute tasks while maintaining high-quality gates across the platform.
Sources: index.md, guides/skill-automation-pattern.md:73-77, README.md
Coordination Architecture
The coordination architecture is built upon reusable automation skills managed by a generic runner. Each agent's execution is predicated on a specific checklist that includes parent MRO chain validation, Scope bootstrapping, and skill loading.
Self-Contained Skill Structure
Each coordination "Bead" or skill is organized into a specific directory structure under .agents/skills/<automation-name>/. This structure ensures that detection logic, violation baselines, and execution instructions are coupled with the automation logic.
| Component | Description |
|---|---|
SKILL.md | The canonical document defining scope, rules, and workflows. |
rules.yml | Detection rules utilizing ast-grep, ripgrep, or custom logic. |
rules/ | Directory containing specific ast-grep rule files. |
baseline.json | An auto-generated record of known violations to allow for incremental debt reduction. |
Sources: guides/skill-automation-pattern.md:20-27, index.md:23-26
Execution Flow
Agent coordination follows a strict validation pipeline. Before changes are promoted, the system executes quality gates via canonical make verbs.
The diagram above illustrates the sequence from agent initialization to the final verification of automated tasks.
Sources: index.md:23-31, guides/skill-automation-pattern.md:31-38
Core Coordination Patterns
Skill Automation Pattern
Coordination is achieved by delivering script-first automations. The implementation checklist requires defining invariants, creating detection rules, and initializing baselines. This prevents manual-only procedures and ensures that all agent actions are reproducible and enforceable by CI-style commands.
Key runner commands for coordination:
python3 scripts/core/skill_validate.py --skill <name>: Basic validation.python3 scripts/core/skill_validate.py --mode strict: Enforcement mode for CI.python3 scripts/core/skill_validate.py --update-baseline: Synchronizing the debt baseline.
Sources: guides/skill-automation-pattern.md:31-38, guides/skill-automation-pattern.md:52-60
Facade and MRO Integration
In the flext-web project, multi-agent coordination is deeply integrated with the Public Facade pattern. The facade (flext_web.web) acts as the primary operational surface, ensuring that agents interact with a stable, typed interface rather than internal service classes.
The class relationship shows how the coordination layer leverages the facade to manage service lifecycles and validation.
Sources: development.md:14-25, development.md:46-52, README.md:30-36
Quality Gates and Enforcement
Coordination is not considered complete until the agent passes the standard quality gates. This ensures that the multi-agent system does not introduce technical debt.
Verification Matrix
Agents must utilize specific commands to verify the integration of new skills or features.
| Command | Purpose |
|---|---|
make check | Quick validation of the project and agent changes. |
make val | Full validation including linting, type-checking, and security. |
make test | Execution of unit, integration, and E2E test suites. |
make gen | Regeneration of exports or lazy initializations. |
Sources: guides/development.md:88-93, development.md:33-37, guides/troubleshooting.md:18-28
Strict Typing Coordination
A critical component of agent coordination is the "Zero Tolerance" policy for type safety. Agents are governed by flext-strict-typing rules, which include up to 10 detection rules (8 ast-grep and 2 ripgrep) to ensure all operations utilize Result patterns (r[T]) and maintain MyPy strict mode compliance.
Sources: guides/development.md:112-126, guides/skill-automation-pattern.md:80-84
Summary
Multi-Agent Coordination (Beads) in flext-web provides a robust, rule-based framework for automating platform tasks. By utilizing self-contained skills, strict MRO chain verification, and automated quality gates, the system ensures that agent-driven changes are reliable, typed, and maintainable. This coordination is anchored by the FlextWeb facade and enforced through the skill_validate.py infrastructure.
Sources: README.md:30-45, development.md:55-60