Graphlit
A semantic memory platform for developers to give AI persistent context and memory across content types and tools.
Category: Automation
Price Model: Usage-based
Audience: Enterprise
Trustpilot Score: N/A
Trustpilot Reviews: N/A
Our Review
Graphlit: Empowering AI with Semantic Memory
Graphlit is a powerful semantic memory platform designed for developers to ingest, organize, and retrieve content efficiently, enabling AI systems to maintain context and memory across interactions. Built for scalability and flexibility, it provides a unified API for content ingestion, semantic search, and AI-powered retrieval, making it ideal for developers building intelligent applications that require persistent knowledge. The platform supports a wide range of content types—including text, PDFs, images, audio, video, and messages from tools like Slack, Gmail, and Jira—and integrates seamlessly with popular services such as Google Drive, Notion, GitHub, and AWS. With support for multiple AI models from OpenAI, Anthropic, Google, and others, Graphlit enhances AI capabilities with features like visual object detection, OCR, and audio transcription. It offers SDKs for Python, Node.js, and .NET, and supports MCP-Native Integration with Cursor, VS Code, and other development tools.
Key Features:
- Single API for Content Ingestion, Search, and Retrieval: Streamline workflows with a unified interface.
- Multi-Format Content Support: Ingest text, PDFs, images, audio, video, web pages, and more.
- Extensive Integrations: Connect with Google Drive, Dropbox, Slack, Gmail, Notion, GitHub, Jira, and other tools.
- AI Model Agnostic: Works with OpenAI, Anthropic, Google, xAI, Groq, Mistral, and other providers.
- Built-In AI Features: Includes visual object detection, transcription, OCR, and audio processing.
- Developer-Friendly SDKs: Available for Python, Node.js, and .NET.
- MCP-Native Integration: Works with Cursor, VS Code, Windsurf, and Claude Desktop.
- Scalable Architecture: Built for scale with multitenant readiness, RBAC, encrypted storage, and serverless design.
- Privacy-First: Never trains on user data; model providers also do not train on user data.
Pricing: Graphlit offers a usage-based pricing model with a free tier including 100 credits, 1GB storage, and 1K content items. Paid tiers include Hobby ($49/month), Starter ($199/month), and Growth ($999/month), with increasing storage, usage, and support.
Conclusion: Graphlit is a versatile and developer-centric platform that enhances AI applications with semantic memory, offering a robust, scalable, and privacy-focused solution for managing and retrieving knowledge across diverse content sources.
