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- Universal Agent Hub — Blackboard Shared Memory & Swarm
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Universal Agent Hub — Blackboard Shared Memory & Swarm
Asynchronous blackboard shared memory engine and supervisor delegation pattern for concurrent multi-agent swarms.
$35
Universal Agent Hub — Blackboard Shared Memory & Swarm
Example session with this skill installed
Initialize an asynchronous 3-agent swarm to refactor the authentication module: Worker 1 audits security & JWT rotation, Worker 2 creates unit test suites in isolation, and Worker 3 updates OpenAPI schemas using Blackboard memory.
- Read your context and instructions
- Compiled the universal agent hub
Multi-Agent Blackboard Orchestration Active
- Supervisor: Conductor Agent (PID: 50421)
- Shared Memory Board:
~/.antigravity/blackboard/board_state.json - Lock State: Active (Concurrency lock acquired: Zero race conditions)
| Subagent ID | Role | Task Focus | Memory Payload Status |
|---|---|---|---|
| Worker-1 | Security Auditor | JWT expiration & CSRF audit | 🟢 Briefing posted (0 CVEs, RS256 hardened) |
| Worker-2 | QA Engineer | PyTest unit coverage | 🟢 14 new test cases written & passing |
| Worker-3 | Schema Specialist | OpenAPI 3.1 Spec sync | 🟢 Contract synced with auth routes |
Conductor Aggregation Result:
All 3 workers reported back to the shared blackboard without file collision.
Aggregated pull request branch prepared: feature/auth-hardening-swarm.
Benchmark Verdict:
- Dual-Write Collisions: 0 (Zero Race Conditions)
- Context Token Savings: 87.4%
- Execution Speedup: 3.4x Parallel Acceleration
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About this skill
Universal Agent Hub — Enterprise Multi-Agent Swarm & Blackboard Memory
An asynchronous blackboard shared memory engine, concurrency lock manager, and supervisor delegation protocol designed for concurrent multi-agent swarms. Solves agent isolation, amnesia, and dual-write race conditions in modern AI coding agents.
⚡ Key Features & Engineering Guardrails:
- Asynchronous Blackboard Shared Memory: Centralized state board (
~/.antigravity/blackboard/) enabling continuous inter-agent coordination without context bloat. - Supervisor-Worker Delegation Matrix: Deconstructs massive engineering goals into independent, sandboxed worker pipelines running in isolated contexts.
- Zero Race Conditions & Concurrency Locking: File-level mutex locks guarantee zero merge collisions and safe parallel file modifications.
- Standardized Briefing Payloads: Subagents submit compact structured summaries, cutting context token consumption by 85%+.
- Universal IDE Compatibility: Native drop-in support for Claude Code, Cursor, Windsurf, Codex CLI, and Google Antigravity.
📦 What's Included in the ZIP:
- Core CLI Engine:
scripts/blackboard_hub.py(Zero-dependency standard library CLI for--init,--post,--read). - Architectural Specifications:
references/blackboard_memory_spec.md(Atomic concurrency locking & memory layout).references/supervisor_pattern_protocol.md(Conductor-Worker delegation matrix).
- Agent Skill Specification: Production-ready
SKILL.mdinstruction schema. - Testing & Verification Suite: Interactive terminal demo and integration harness.
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