SoloFlow

About SoloFlow

SoloFlow ⚡ The Brain Behind AI Workflow Orchestration Turn chaotic multi-step AI tasks into structured, observable, retryable workflows — with cognitive memory, discipline-aware routing, and automatic skill evolution. Why SoloFlow? AI Agents fail in predictable ways: Four Pillars DAG + FSM Hybrid Architecture Kahn algorithm for topological sorting Parallel execution where possible, sequential where required Automatic retry with exponential backoff Cognit

agent-harness ai-agent cognitive-memory dag etclovg forgetting-curve fsm mcp memory open-source

Quick Facts

Stars	130
Forks	7
Language	Python
Category	MCP Server
Quality Score	73.5373268871103/100
Open Issues	2
Last Updated	2026-05-31
Created	2026-03-05
Platforms	mcp, python
Est. Tokens	~179k

Compatible Skills

These tools work well together with SoloFlow for enhanced workflows:

Master-Orchestrator — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
team-tasks — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (56%)
hivemind — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
agent-skills — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
Agent-template — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is SoloFlow?

SoloFlow is Complete ETCLOVG framework for AI Agent workflows - DAG+FSM orchestration, Ebbinghaus memory, discipline routing, skill evolution, trace system, governance. 80+ tests, zero deps, 7/7 layers.. It is categorized as a MCP Server with 130 GitHub stars.

What programming language is SoloFlow written in?

SoloFlow is primarily written in Python. It covers topics such as agent-harness, ai-agent, cognitive-memory.

How do I install or use SoloFlow?

You can find installation instructions and usage details in the SoloFlow GitHub repository at github.com/SonicBotMan/SoloFlow. The project has 130 stars and 7 forks, indicating an active community.

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