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 agentic-box · MCP Server · ★ 693
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is memora safe to install? View the security audit →
Memora "You never truly know the value of a moment until it becomes a memory." Give your AI agents persistent memory An MCP memory layer for agents: structured storage, semantic retrieval, graph relations, and source-backed cross-session context. Absorb agent work into durable graph memory, then use memorydigest(topic) to retrieve relevant memories, TODOs/issues, related edges, and source IDs. Features · Preview · Install · Usage · Config · Live Graph · C
| Stars | 693 |
| Forks | 74 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.5437486288773/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-22 |
| Created | 2025-09-19 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~18k |
These tools work well together with memora for enhanced workflows:
Looking for a memora alternative? If you're comparing memora with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Persistent memory for AI coding agents
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Mi
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and
Give Claude Code, Cursor, Codex CLI a ChatGPT for your codebase. Multi-agent knowledge engine, grounded Q&A wi
Explore other popular mcp server tools:
memora is Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.. It is categorized as a MCP Server with 693 GitHub stars.
memora is primarily written in Python. It covers topics such as agent-memory, ai-agent, claude.
You can find installation instructions and usage details in the memora GitHub repository at github.com/agentic-box/memora. The project has 693 stars and 74 forks, indicating an active community.
memora is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to memora on Agent Skills Hub include mcp-memory-service, Ori-Mnemos, omega-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.