generational-agent-succession
CommunitySwarms that never degrade via handoffs
Software Engineering#orchestration#swarm#knowledge-transfer#long-running-tasks#generational#transfer-document
Authorniveshdandyan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Generational Agent Succession (GAS) addresses degradation, context drift, and memory churn in long-running AI tasks by enabling parallel swarms of agents that hand off knowledge to fresh-context generations while preserving accumulated wisdom.
Core Features & Use Cases
- Parallel swarms with per-agent generational handoffs to maintain output quality over long horizons.
- Transfer documents and shared knowledge store to preserve context and enable learning across generations.
- Real-time monitoring and orchestration of multi-wave execution.
- Use case: long-running projects like codebase evolution, data pipelines, or complex automation that span hours or days.
Quick Start
Initialize a GAS workspace with multiple agents, start the orchestrator, and monitor dashboards. See the examples/ for quick-start guidance.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: generational-agent-succession Download link: https://github.com/niveshdandyan/generational-agent-succession/archive/main.zip#generational-agent-succession Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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