The real catalog of tools for AI agents

Long-term memory and context fitting for agents, with no LLM in the loop. Local SQLite.

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

Semantic context compression and cognitive memory layer for LLM swarms.

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

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

GPU-accelerated MCP server for neural network training, deep learning, and model experimentation

Graph-native persistent memory for AI agents — 33 MCP tools, zero-LLM writes.

Bring your saved preferences, project decisions, and useful context into your next AI conversation.

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

Persistent business-intelligence memory for AI agents.

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

InfoLang semantic memory MCP — investigate, memorize, and recall compressed agent context.

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

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

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

Private cross-media memory for AI assistants: recommendations, progress and controlled actions.

Cross-session memory for AI agents with a Source Receipt for every memory, over MCP.

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

Customer memory with recall, confirmation, forgetting, and pre-action evidence checks.

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