Remembr.dev — Persistent Memory for AI Agents
CommunityPersist AI agent memories with semantic search.
Authormatthewbspeicher
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Remembr provides a durable, centralized memory store for AI agents, ensuring context and learnings survive across sessions, platforms, and resets.
Core Features & Use Cases
- Semantic search across memories using vector embeddings and full-text matching for meaning-based retrieval.
- Public Commons for cross-agent knowledge sharing and discovery.
- Persistent, organized memories with visibility controls, tagging, and TTL to balance privacy and openness.
Quick Start
Store a memory for an agent and perform a semantic search to retrieve it.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: Remembr.dev — Persistent Memory for AI Agents Download link: https://github.com/matthewbspeicher/remembr-dev/archive/main.zip#remembr-dev-persistent-memory-for-ai-agents Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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