memora
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
- 744 stars
- 83 forks
- 5 open issues
- Language: Python
- License: MIT
- updated
Install
local · uvx (python)claude mcp add memora -- uvx memora{
"mcpServers": {
"memora": {
"command": "uvx",
"args": ["memora"]
}
}
}{
"mcpServers": {
"memora": {
"command": "uvx",
"args": ["memora"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/agentic-box/memora and follow its README.
MCP Servers overview
What people ask about memora
What is agentic-box/memora?
agentic-box/memora is mcp servers for the Claude AI ecosystem. Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP. It has 744 GitHub stars and its last recorded update is dated 2026-10-21.
How do I install memora?
You can install memora by cloning the repository (https://github.com/agentic-box/memora) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is agentic-box/memora safe to use?
Our security agent has analyzed agentic-box/memora and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains agentic-box/memora?
agentic-box/memora is maintained by agentic-box. The last recorded GitHub activity is dated 2026-10-21, with 5 open issues.
Are there alternatives to memora?
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.