Give your AIphotographic memory

Photomem is an AI memory infrastructure that uses knowledge graphs and entity tracking to give your AI agents photographic precision. Unlike traditional vector databases that store isolated text chunks, Photomem automatically identifies and connects people, places, events, and concepts across conversations. This means when your AI mentions 'Sarah', it instantly recalls her birthday, preferences, relationships, and every relevant detail—creating a living knowledge network instead of scattered memories.

Photomem achieves 85.6% accuracy on the LoCoMo benchmark, compared to Mem0's 66.5% and Zep's <60%. We're also 3x faster in retrieval speed while maintaining superior accuracy. The key difference is our knowledge graph architecture: while competitors store memories as isolated vectors, we build connected entity relationships. This means better context understanding, more accurate recall, and faster retrieval—all verified by independent benchmarks.

Entity tracking automatically identifies and links people, places, events, and concepts across all conversations. When you mention 'Sarah's birthday is March 15th' in one conversation and later say 'Sarah loves chocolate cake', Photomem automatically connects both facts to the same 'Sarah' entity. Then when someone asks 'What should I get Sarah?', the AI instantly recalls both her birthday date and her chocolate cake preference—providing contextually rich, accurate responses without manual tagging or complex queries.

Photomem provides a RESTful API that integrates in minutes. The process is straightforward: (1) Sign up and get your API key, (2) Add memories using POST /api/v1/memories with user context, (3) Search memories using POST /api/v1/memories/search with semantic queries, (4) Retrieve relevant context automatically. We offer SDKs for Python, JavaScript, and other popular languages, plus comprehensive documentation with code examples. Most developers complete integration in under 30 minutes.

Yes, Photomem is built for enterprise scale with SOC 2 Type II compliance, end-to-end AES-256 encryption, real-time analytics, and 99.9% uptime SLA. We support high-volume production workloads with millisecond-level response times, handling millions of requests per day. Enterprise features include: dedicated infrastructure, custom data retention policies, on-premise deployment options, SSO/SAML authentication, advanced role-based access control, and 24/7 priority support.

The LoCoMo (Long Context Memory) benchmark is an independent evaluation framework that tests AI memory systems on accuracy, context retention, and relationship understanding across extended conversations. It measures how well memory systems recall specific details, maintain temporal context, and connect related information. Photomem's 85.6% score means we correctly retrieve and contextualize information 85.6% of the time—significantly higher than Mem0 (66.5%) and Zep (<60%). This translates directly to more accurate AI responses in real-world applications.

Photomem implements enterprise-grade security with multiple layers: (1) End-to-end AES-256 encryption for data at rest and in transit, (2) SOC 2 Type II compliance with annual audits, (3) Zero-knowledge architecture where we cannot access your unencrypted data, (4) Granular access controls with API key rotation, (5) Automatic PII detection and optional redaction, (6) GDPR and CCPA compliance with right-to-deletion support. All data is isolated by tenant with no cross-contamination, and we never train models on customer data.

Photomem achieves 3x faster retrieval through three key innovations: (1) Hybrid indexing that combines vector similarity with graph traversal, reducing search space dramatically, (2) Intelligent caching that predicts which entities are likely to be queried next, (3) Query optimization that prunes irrelevant branches early in the search. While Mem0 and Zep average ~150ms for memory retrieval, Photomem consistently delivers results in ~50ms—without sacrificing accuracy. This speed improvement means users get instant AI responses instead of noticeable delays.

Yes, Photomem is LLM-agnostic and works with any AI framework including OpenAI GPT-4, Anthropic Claude, Google Gemini, open-source models like Llama and Mistral, and custom fine-tuned models. We provide context in a standardized format that any LLM can consume. Integration works with popular frameworks like LangChain, LlamaIndex, AutoGen, and custom agent architectures. Our API returns formatted context that you simply inject into your LLM prompts—no model-specific modifications required.

Photomem offers transparent usage-based pricing with no hidden fees. Free tier includes: 1,000 memories stored, 10,000 API requests per month, basic analytics. Paid plans start at $29/month for startups and scale with usage. Enterprise plans include volume discounts, dedicated infrastructure, and custom SLAs. We charge based on: (1) Number of memories stored, (2) API request volume, (3) Advanced features like custom entity types or on-premise deployment. No per-user fees—pay only for what you use. All plans include unlimited team members.