The real catalog of tools for AI agents

Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.

Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.

Graph-vector memory for AI assistants using FalkorDB and Qdrant

MCP server that wraps the Qdrant vector database API as tools.

Role-based access to your Qdrant vector store, via MCP. OIDC in, scoped JWTs out.

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

ROC biometrics & computer vision: face, LPR, OCR, pedestrian, vehicle, gun detection.

Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

Persistent business-intelligence memory for AI agents.

Persistent memory for AI assistants: store, search, and connect knowledge across conversations.

Persistent memory and drift detection for AI agents across session restarts.

Cross-LLM persistent memory: store context once, recall it from any AI model.

Persistent memory, coordination, and learning for AI agents. Local-first, 25 MCP tools.

Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

Dijin is a Memory Layer: recall notes, decisions, and evidence-backed answers across every AI.

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).

Persistent semantic memory storage, associative recall, and recent memory index by namespace.

One user-owned memory shared across AI assistants: recall, spaces, and confirmed references.

Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.