Mengram

Mengram provides an AI memory API designed with human-like cognitive architecture, offering three distinct memory types: semantic (facts and preferences), episodic (events and decisions), and procedural (learned workflows). It enables developers to replace complex RAG pipelines with a single API call that returns a Cognitive Profile—a ready-to-use system prompt for instant AI personalization.

• Three Memory Types — Stores semantic memories for facts and preferences, episodic memories for events and discussions, and procedural memories for workflows and habits, mimicking how the human brain organizes information.

• Cognitive Profile — Generates a unified system prompt from all memory types with one API call, enabling instant personalization for any LLM without complex retrieval setups.

• Memory Agents — Includes autonomous agents: Curator cleans contradictions, Connector finds hidden patterns, and Digest provides weekly briefs automatically.

• Unified Search — Searches across all three memory types simultaneously using vector search, BM25, graph expansion, and LLM re-ranking in a single call.

• Procedure Feedback — Tracks success and failure counts per workflow, allowing AI to learn which procedures work best and surface proven patterns first.

• Experience-Driven Procedures — Self-improving workflows that auto-evolve when failures are reported and auto-create new procedures from repeated successes.

• Smart Triggers — Proactive memory features including reminder detection from conversations, contradiction alerts, and workflow pattern recognition.

• Knowledge Graph — Stores entities and relations as structured data rather than plain text, enabling precise relationship tracking.

• Team Memory — Enables shared knowledge across team members with simple invite codes for quick onboarding.

• Import Capabilities — Supports importing existing data from ChatGPT exports, Obsidian vaults, and text files to eliminate cold-start problems.

• Framework Integrations — Drop-in support for LangChain, CrewAI, and OpenClaw with dedicated memory classes and tools.

• MCP Server — Native integration with Claude Desktop, Cursor, Windsurf, and other MCP-compatible AI tools.

To get started, install via pip (pip install mengram-ai) or npm (npm install mengram-ai), obtain a free API key from the dashboard, and configure your preferred AI tool or framework. The SDK supports both Python and JavaScript with full TypeScript definitions.