memora

by agentic-box · Python · ★ 421

Give your AI agents persistent memory.

#agent-memory#ai-agent#claude#claude-code#cloudflare-d1#codex#knowledge-graph#llms#mcp#mcp-server#memory#model-context-protocol#rag#semantic-search#semantic-search-algorithm#sqlite

Install

pip install git+https://github.com/agentic-box/memora.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "memora": {
      "command": "uvx",
      "args": [
        "git+https://github.com/agentic-box/memora.git"
      ]
    }
  }
}

From the README

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 memory_digest(topic) to retrieve relevant memories, TODOs/issues, related edges, and source IDs. Features · Preview · Install · Usage · Config · Live Graph · Cloud Graph · Chat · Semantic Search · Documents · LLM Dedup · Linking · Neovim **Core Storage** - 💾 **Persistent Storage** - SQLite wi…

Read full README on GitHub →

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