No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by sandst1 · MCP Server · ★ 82
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Remind Generalization-capable memory layer for LLMs. Unlike simple RAG systems that store verbatim text, Remind extracts and maintains generalized concepts from experiences — mimicking how human memory consolidates specific events into abstract knowledge. Documentation · Examples · Changelog Quick start Configure a provider (): Use it: Episodes go in, consolidation runs, generalized concepts come out. Two ways to use Remind Skills + CLI (recommended) Project-local memory via composable skills. The database lives in your repo at . bash remind skill-install # In
| Stars | 82 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.5184917860935/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-10 |
| Created | 2025-11-26 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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remind is A memory layer for AI Agents. It is categorized as a MCP Server with 82 GitHub stars.
remind is primarily written in Python. It covers topics such as agentic-ai, agents, ai.
You can find installation instructions and usage details in the remind GitHub repository at github.com/sandst1/remind. The project has 82 stars and 10 forks, indicating an active community.
remind is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to remind on Agent Skills Hub include agentic-design-patterns, volcano-agent-sdk, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.