prime-radiant-inc/sprout
54 stars · Last commit 2026-06-06
Experimental self-improving multi-agent coding system: a root agent recursively decomposes goals and delegates to specialist subagents, learning from failures by mutating a git-backed agent genome. Supports Claude, GPT, and Gemini.
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# 🌱 Sprout
A self-improving, multi-agent AI system that decomposes tasks and delegates to specialist agents. Sprout is an autonomous coding assistant built on a recursive agent architecture — where every action is a goal-directed delegation to a subagent.
## Overview
Sprout operates on a simple but powerful loop:
```
Perceive → Recall → Plan → Act → Verify ─── loop
│
└──→ Learn (async)
```
A **root agent** receives your goal, breaks it into subgoals, and delegates each to a specialist. Specialists can be orchestrators themselves (delegating further) or leaf workers that execute primitives directly. The system learns from its mistakes — stumbles, failures, and inefficiencies are detected and fed into an asynchronous learning pipeline that mutates the agent genome over time.
## Key Concepts
- **Agents all the way down** — Every action is a delegation to a subagent. The root never executes tools directly.
- **Genome** — A git-backed knowledge base storing agent definitions, memories, routing rules, and learned behaviors. Every mutation is committed for full auditability and rollback.