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Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.

Memory platform for AI Agents in 6 lines of code

Hindsight: Agent Memory That Learns

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

Deploy serverless AI workflows at scale. Firebase for AI agents

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

OpenClaw Supermemory lets to have long-term memory and recall for your openclaw agent.

Stash — persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required.

AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between computers and locations

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

One memory. Every AI tool. Yours to keep. Local-first, MCP-compatible, Apache 2.0.

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.

Persistent memory for AI coding agents. Cross-session context, global knowledge, and autonomous task execution.

One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM25 + KG), session continuity, 40 MCP tools. Local-first, LanceDB-backed.

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

Self-hosted MCP server for AI agent memory — 14 core tools, profile-based tiering (86+ available). 87.8% LoCoMo. Works with Claude, Cursor, Windsurf.

Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc

UseCortex MCP Server — Give your AI coding agent a persistent memory. Read and write knowledge from any tool.