memora — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 · ★ 713

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About memora

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

agent-memoryai-agentclaudeclaude-codecloudflare-d1codexknowledge-graphllmsmcpmcp-server

Quick Facts

Stars713
Forks74
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score64.5437486288773/100
Open Issues2
Last Updated2026-09-02
Created2025-09-19
Platformsclaude-code, codex, mcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with memora for enhanced workflows:

  • Flamehaven-Filesearch — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • memsearch — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • agent-second-brain — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • SirChatalot — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • bondai — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

memora alternative? Top 6 similar tools

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.

  • mcp-memory-service by doobidoo · ⭐ 1.9k

    Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl

  • Ori-Mnemos by aayoawoyemi · ⭐ 319

    Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

  • omega-memory by omega-memory · ⭐ 215

    Persistent memory for AI coding agents

  • octocode by Muvon · ⭐ 471

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • memsearch by zilliztech · ⭐ 2.6k

    A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown a

  • nocturne_memory by Dataojitori · ⭐ 1.3k

    A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and

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Frequently Asked Questions

What is memora?

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 713 GitHub stars.

What programming language is memora written in?

memora is primarily written in Python. It covers topics such as agent-memory, ai-agent, claude.

How do I install or use memora?

You can find installation instructions and usage details in the memora GitHub repository at github.com/agentic-box/memora. The project has 713 stars and 74 forks, indicating an active community.

What license does memora use?

memora is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to memora?

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.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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