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Memory & Context

16 toolsAvg score 75

Vector stores, long-term memory systems, and context management tools for agents that need to recall and reason across sessions.

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We only list tools that meet minimum quality standards.

16 tools

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Upstash Redis logo

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.

AGENT
82
TRUST
82
INTEROP
92
SECURE
85
DOCS
75
Verified Apr 2026MCPREST
View details →
Zep logo

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.

AGENT
70
TRUST
85
INTEROP
85
SECURE
85
DOCS
85
Stale
View details →
Turbopuffer logo

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.

AGENT
92
TRUST
85
INTEROP
85
SECURE
75
DOCS
65
queried_bytes billing based on full namespace size causing unexpectedly high costs at scalepost-delete consistency delay of ~1 hour
Verified Mar 2026MCPREST
View details →
Upstash Vector logo

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.

AGENT
82
TRUST
85
INTEROP
72
SECURE
75
DOCS
85
index primary region cannot be changed after provisioningmaximum vector*dimension limits vary by plan tier
Verified Mar 2026REST
View details →
Mem0 logo

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.

AGENT
92
TRUST
82
INTEROP
75
SECURE
75
DOCS
75
Verified Mar 2026REST
View details →
Mem0 logo

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.

AGENT
92
TRUST
65
INTEROP
65
SECURE
85
DOCS
85
Verified Mar 2026
View details →
Redis Vector Store logo

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.

AGENT
75
TRUST
92
INTEROP
72
SECURE
85
DOCS
65
Verified Mar 2026REST
View details →
MongoDB Atlas Vector Search logo

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.

AGENT
75
TRUST
92
INTEROP
60
SECURE
75
DOCS
85
Verified Mar 2026REST
View details →
OpenMemory MCP logo

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.

AGENT
92
TRUST
62
INTEROP
85
SECURE
72
DOCS
65
Verified Mar 2026MCP
View details →
LanceDB logo

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.

AGENT
85
TRUST
72
INTEROP
75
SECURE
62
DOCS
75
Verified Mar 2026MCPREST
View details →
Activeloop Deep Lake logo

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.

AGENT
75
TRUST
85
INTEROP
65
SECURE
75
DOCS
65
Verified Mar 2026
View details →
LangMem logo

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.

AGENT
85
TRUST
65
INTEROP
75
SECURE
65
DOCS
72
Verified Mar 2026
View details →
Letta (MemGPT) logo

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.

AGENT
85
TRUST
65
INTEROP
60
SECURE
65
DOCS
75
Verified Mar 2026REST
View details →
Marqo logo

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.

AGENT
85
TRUST
72
INTEROP
65
SECURE
65
DOCS
65
service downtime with 10-50% credit eligibilityhigher search latency on basic tier shards
Verified Mar 2026REST
View details →
FAISS logo

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.

AGENT
65
TRUST
75
INTEROP
65
SECURE
60
DOCS
72
Verified Mar 2026
View details →
Graphiti logo

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.

AGENT
65
TRUST
62
INTEROP
85
SECURE
45
DOCS
75
rate limit under burst load above 100 RPM
Verified Mar 2026MCPREST
View details →

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