Le catalogue réel des outils pour IA

Persistent, outcome-grounded episodic memory for Claude. 14ms CPU retrieval, no GPU, no vector DB.

A local typed-edge graph of people, projects, and decisions that externalises memory.

Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.

Edge-compute biological sovereignty node for telemetry and cognitive circuit-breaking.

28-layer cognitive substrate with cross-session ToT evolutionary memory and self-telemetry tools

Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

Cognitive memory for AI coding assistants — persistent memory across sessions

Semantic context compression and cognitive memory layer for LLM swarms.

Long-term, drift-free cognitive memory engine for AI Agents and Cursor IDE.

Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.

Cognitive architecture MCP server with memory, learning, and contextual understanding

Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.

Agent memory MCP server with 4-type cognitive memory, hybrid search, and TTL-based forgetting.

Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.

Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection

Local-first engineering cognition for AI coding agents — persistent memory over your codebase.

Cognitive memory for coding agents: hybrid recall, remember/forget, knowledge graph, nightly dreams.

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

Esports cognitive-combine data over MCP: free cohort stats, paid player & team scouting reports.

Adversarial behavioural-bias engine — audits your decisions for cognitive biases via your own AI.