Hybrid Memory & Knowledge Graph
Short-term working memory + PurrMemo long-term memory. Episodic engine (SQLite+FTS5) and semantic engine (ChromaDB+NetworkX). RRF hybrid retrieval with Ebbinghaus forgetting curve.
Safe, Stable, Cost-Effective Local Agent Framework
Hybrid Memory · DAG Workflow · 99%+ KV Cache Hit · No-Code Extension
Short-term working memory + PurrMemo long-term memory. Episodic engine (SQLite+FTS5) and semantic engine (ChromaDB+NetworkX). RRF hybrid retrieval with Ebbinghaus forgetting curve.
Directed acyclic graph engine, JSON hot-plug deployment, polymorphic node matrix (conditional routing, image generation, human intervention), state machine rollback with checkpoint resume.
Docker sandbox execution, 8 native tools (Bash/FileSystem/Fetch/Search/Memo/CallMCP/Cron/Task), rich-text markdown conversion, file operation audit trail.
Dynamic routing decouples tool Schema from System Prompt. Lifecycle API Key binding. Memory summary economics. Extreme token economy with millisecond latency.
MCP-like independent process sensor architecture, Stdio JSON-RPC communication, crash isolation, plug-and-play installation. Built-in Feishu, RSS, Audio, System Clock sensors.
Zero-code MCP tool integration, one-click Skill installation, visual DAG editing, config-as-install sensors. Dynamic routing + microkernel design, no main code modification needed.
Git-like session branching, smart context truncation, SOUL.md persona injection, Heartbeat+SOLO+TODO autonomous patrol, automatic dangling node recovery.
API Key load balancing, Semaphore queuing, Exponential Backoff with Jitter, 8-retry industrial-grade HA, multi-agent non-blocking concurrency.