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recallbricks

README.md

RecallBricks

Memory Graph Infrastructure for AI Applications

Beyond vector search. RecallBricks gives your AI applications the ability to understand relationships, causality, and patterns - not just similar text.

🚀 Quick Start

pip install recallbricks
from recallbricks import RecallBricks

rb = RecallBricks("your-api-key")
memory = rb.create_memory(text="Your memory here")
relationships = rb.get_relationships(memory.id)

📦 Products

  • 🧠 Memory Graph API - Core infrastructure
  • 🐍 Python SDK - Coming soon
  • 📘 TypeScript SDK - Coming soon
  • 💻 CLI - Coming soon
  • 🔌 MCP Server - Coming soon

🔗 Links

⭐ What is RecallBricks?

Traditional vector databases return "similar" results. RecallBricks returns context:

  • Relationships - What connects to what
  • Causality - What caused what
  • Patterns - What matters
  • Context - The full story, not just keywords

Built for AI agents, coding assistants, and intelligent applications.

🛠️ Technology

  • Production-grade infrastructure (99.9% uptime)
  • AI-powered relationship detection (Claude Haiku)
  • Model-agnostic (works with any LLM)
  • Enterprise security & compliance

Get Started Free →

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  1. recallbricks-api-clean recallbricks-api-clean Public

    Production API for RecallBricks - Memory graph infrastructure with auto-relationship detection. The memory layer for AI ecosystems.

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  2. recallbricks-python recallbricks-python Public

    Official Python SDK for RecallBricks - Add persistent memory with relationship graphs to your AI applications. Enterprise-grade with 40+ tests.

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  3. recallbricks-typescript recallbricks-typescript Public

    Official TypeScript SDK for RecallBricks - Memory infrastructure for AI with relationship graphs. Production-ready with 101 tests and 96% coverage.

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  4. .github .github Public

    Memory Graph Infrastructure for AI Applications. Beyond vector search - understand relationships, causality, and patterns.

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