Memory & Context

Upstash Redis

FULL AUTO

83

Trust score

Serverless Redis service with per-request pricing, global replication, and a REST API suitable for edge and serverless runtimes. Commonly used in agent pipelines for rate limiting, session caching, and short-term memory storage. Free tier available; no connection pool management required.

Zep

FULL AUTO

82

Trust score

Zep delivers strong agent memory with solid API, compliance, and integrations but lacks explicit OpenAPI spec and detailed rate limit docs.

Turbopuffer

FULL AUTO

80

Trust score

Production-grade serverless vector DB with excellent performance and reliability for AI retrieval, though lacking native agent tool calling.

Upstash Vector

NEEDS APPROVAL

80

Trust score

Serverless vector DB with solid REST API/docs but lacks performance data and audit trails; strong for LangChain RAG use cases.

Mem0

NEEDS APPROVAL

80

Trust score

Mem0 offers strong agent memory with good integrations and security but lacks detailed error docs and has ambiguous data training policy.

Mem0

FULL AUTO

78

Trust score

A persistent memory layer for AI agents and assistants — enables agents to remember user preferences, past interactions, and context across sessions. Stores memories as structured facts extracted from conversations; retrieves relevant memories at query time using semantic search. Integrates with OpenAI, Anthropic, and LangChain. The key use case: giving LLM-based assistants continuity across conversations without stuffing the full history into every context window. Also available as a managed API.

Redis Vector Store

FULL AUTO

78

Trust score

Redis Vector Store delivers enterprise-grade performance and broad AI framework support as a mature open-source vector database, slightly tempered by a recent critical vulnerability.

MongoDB Atlas Vector Search

NEEDS APPROVAL

77

Trust score

Enterprise-grade vector search with excellent performance and integrations, tempered by recent security incident and limited native agent tool-calling support.

OpenMemory MCP

FULL AUTO

75

Trust score

Promising open-source MCP memory server with strong local privacy and integrations, held back by limited error/performance docs and hosted training opt-out.

LanceDB

NEEDS APPROVAL

74

Trust score

LanceDB excels as an open-source vector database with strong docs and integrations but lacks agent-specific API readiness and cloud security assurances.

Activeloop Deep Lake

FULL AUTO

73

Trust score

Deep Lake offers strong data management and vector search for AI apps with solid trust signals and integrations, though agent-specific API readiness is basic rather than optimized.

LangMem

72

Trust score

Promising LangChain SDK for agent long-term memory with strong integration and docs, limited by absent versioning, error handling, and production SLAs.

Letta (MemGPT)

FULL AUTO

70

Trust score

Robust open-source agent system with strong API/docs and MCP support, tempered by hosted training on user data and recent RCE vuln.

Marqo

NEEDS APPROVAL

70

Trust score

Production-ready vector search API with strong docs and reliability but lacks agentic tool-calling and detailed audit trails.

FAISS

FULL AUTO

67

Trust score

FAISS is a mature, high-performance open-source library from Meta for vector similarity search with excellent docs and ecosystem integration, but lacks hosted service features like API structure, security controls, and operational reliability scoring as a local library.

Graphiti

FULL AUTO

66

Trust score

Promising OSS MCP tool for agent knowledge graphs with strong docs/interop but limited security as self-hosted early-stage project.