Memory control plane for AI Agents in 6 lines of code

Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, AGPL, ships as library / MCP server / HTTP cluster.

OSS AI memory layer for Home Assistant (AGPL). The conversation server inside the Nives addon was forked from this project — they're independent now.

Open-source local-first cognitive memory. AGM-compliant belief revision (49/49 postulates). When a fact changes, downstream beliefs are automatically re-evaluated, not just flagged.

YantrikDB MCP Server — Cognitive memory for AI agents

CogmemAi — Cognitive Memory for Any Ai System. Autonomous robots, self-driving vehicles, defense systems, coding assistants, and more. 91% LoCoMo benchmark — above human performance.

Memory system for AI agents with hybrid retrieval, MCP tooling, and LongMemEval-leading performance.

Multi-agent orchestration with self-evolution, cognitive memory, and governance.

Mesh Memory Protocol (MMP) — A Mesh Protocol for Collective Intelligence

MnemoCore v2.0.0-beta Latest

Autonomous AI agent with persistent cognitive memory, multi-model routing, budget tracking, self-evolution, and multi-channel communication. Built with AI SDK v6 and TypeScript.

SDK's for Symbol's Cognitive Memory

A pheromone-inspired cognitive graph for AI agents

Open-source AI Agent LEGO Platform — Build, manage, and orchestrate your own multi-agent team

The open-source agent OS. Persistent cognitive memory, voice as a first-class channel, batteries-included plugins. By ATERNA AI.

Cognitive architecture for LLM chatbots with 4 memory systems and a consolidation process - semantic RAG, episodic recall, procedural rules, working memory, and periodic consolidation. Produces personalized responses from past conversations, learned behaviors, and document knowledge.