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Memory Brain
Memory Brain is an AI memory and life architecture plugin for AstrBot providing long-term memory, emotion, and autonomous loops.
Memory Brain is an AI memory and life architecture designed for the AstrBot platform. It provides chatbots with five distinct memory types, hybrid retrieval methods, forgetting governance, emotion boundaries, and an autonomous life cycle. The system stores events, facts, reflections, skills, and principles separately while running background routines like reading and resting when users are absent. It uses a read-only personality constraint to ensure base prompts remain unchanged while injecting contextual memory blocks. The software runs locally with SQLite and supports optional integrations like Ollama and bge-m3. It is built for developers and users who want persistent, structured chatbot memory without altering core personalities.
Memory Brain at a glance
Key features
- Five distinct memory categories
- Five-way hybrid retrieval system
- Forgetting governance and decay
- PAD three-dimensional emotion tracking
- Autonomous life cycle routines
- Time-based event querying
- Active reminders and notifications
- Automated daily backups
Use it for
- Equipping AstrBot with persistent long-term memory
- Simulating chatbot autonomous activities during absence
- Managing structured factual and event recall
- Adding emotional boundaries to conversational agents
Alternatives to Memory Brain
- Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
- Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
- Graphmemory — Provides bitemporal facts and a six-variable importance and decay model.
- Adaptive Agent Memory Research — It decides what to remember based on measured future utility rather than query similarity.
- EverOS — It enables agents to learn from experience and improves over time without manual coding.
- MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
- Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
- ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
- Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
- memU — It gives every connected agent a shared and inspectable memory layer.
- Playground — Persists agent memory across sessions and searches by meaning.
- VoiceMem — It provides low-latency memory retrieval with emotional and personality context.
All Memory Brain alternatives