sheawinkler/ContextLattice

Memory Palace for AI — persistent memory, identity, and multi-project orchestration for Claude Code

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253

Mind is an automated memory layer for AI workflows. Say goodbye to your agents amnesia!

Evidence-backed memory for AI agents: local-first recall, temporal history, tested skills, and gradual migration.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.