Awesome Memory Papers in Vision-Language Models

LLM-agnostic memory layer for AI agents. No embeddings, no vector DB — just fast, structured, temporal memory that any LLM can consume as plain text.

Self-hosted memory + evidence layer for AI agents (Claude Code, Codex, Hermes, ...) — embeddable Go library, MCP / HTTP / CLI, evidence-backed claims, bitemporal recall, axi-go execution kernel with JSONL audit + token budgets, cosign-signed releases with SLSA L3 provenance. No vendor cloud, no per-call billing.

A lightweight, pluggable memory backend for agent-based simulations. Supports temporal data, experience replay, and persistent state logging

Persistent causal memory for AI agents. 295x faster than Mem0. LangChain, LlamaIndex, AutoGen, CrewAI. Rust, zero deps.

Durable, private, time-aware memory engine for long-running AI agents

Time-aware memory system that understands when things happened, not just what happened

Local-first memory kernel for coding agents: MCP-native, temporal, auditable, source-keyed, and benchmarked.

Sellmind - Temporal Memory for AI. Cross-session memory persistence with emotional coherence. Built for Claude Code agents.