Agent-agnostic persistent memory as an MCP Server (SQLite + Chroma + Markdown)

MCP server that gives AI agents persistent memory with semantic search

Couchbase Agent Memory Demo

给 AI Agent 的长期记忆库：会遗忘、会弃答、零依赖 · Long-term memory for LLM agents with forgetting curve, abstention, SQLite/WAL, multi-process writes and an MCP server. No vector DB required.

MCP server exposing agent-memory-daemon to Kiro, Claude Desktop, Cursor, and any MCP-compatible client.

Persistent memory for AI coding agents. Single binary, instant full-text search, workspaces, MCP server.

Comprehensive memory management system for LLM agents implementing episodic, semantic. Built in Rust with MCP server support for Kiro CLI

AI agent memory system powered by Modern Hopfield Networks — no LLM calls, no database, one matrix multiply

MCP server: Persistent key-value memory for AI agents — npm wrapper

One memory for every AI agent — self-hosted long-term memory over MCP/REST for Claude Code, Codex, Cursor, Gemini CLI, VS Code, OpenClaw, and more.

Zero-Token-Waste Memory Engine, Knowledge Graph & Notes System for AI Coding Agents via MCP.

Persistent memory for AI agents — store, retrieve and search knowledge across sessions

Project-scoped MCP memory router: per-project SQLite index and raw data, plus a global project registry.

JavaScript MCP Server for persistent agent memory — store, retrieve, search knowledge

Local memory for coding agents: lessons and corrections from past sessions, one MCP server, one install command.

Persistent memory for AI agents — store, retrieve and search knowledge across sessions

MCP server providing persistent key-value memory for AI agents with TTL and search

MCP that brings persistent agent memory to Kiro, Claude Desktop, Cursor, and any MCP client — powered by agent-memory-daemon 🧠

Persistent engineering memory for coding agents over MCP.

MCP server — one-shot install + query for memos (PostgreSQL) and memuK (SQLite) local memory. Designed for OpenClaw agents.

MCP server for persistent agent memory — remember, recall, forget across sessions

Fully open-source memory for AI agents: cited recall, user Profiles, document Resources and native multi-node deployment on PostgreSQL.

Persistent, cross-runtime, typed memory for AI agents — MCP stdio server over embedded SQLite. Local, offline, no cloud.

Hierarchical long-term memory architecture for AI assistants with MCP support

Persistent memory system for AI agents — SQLite + FTS5, MCP server, agent isolation, Obsidian sync. Zero dependencies.

MCP server for persistent agent memory across sessions — semantic search, typed memories, session handoffs, directory indexing

Local-first, project-aware memory MCP server for Claude Code, Codex, and other AI agents, with Obsidian and an owner dashboard.

Local-first memory engine for AI-agent teams — private/team/project ACL, associative recall, federated sync, and a built-in MCP server. One SQLite file, no LLM required. Apache-2.0.

Memory for AI agents that knows when NOT to answer — every lookup returns replay, restore, verify, or none with an explainable score. SQLite/FTS5, optional vectors, MCP server.

AI agent memory using Modern Hopfield Networks — no LLM calls, no database, one matrix multiply. MCP server for Cursor, Claude Code, and other AI coding agents.

Memory for AI coding agents: the plans, tasks, decisions, rules and bugs your agents work through, recorded automatically, shared with your team, readable by every agent through MCP, with a dashboard.

Local-first agent memory for research: literature evidence, experiment runs, and failure cases with provenance contracts, quantified effectiveness metrics, and a read-only MCP server for Codex, Claude Code, and Cursor.

Home Assistant app: shared, bounded memory for coding agents over MCP; SQLite and FTS5, no paid model in the path

High-performance native cognitive memory engine (.ame) for AI Agents with fused vector-graph search, sub-millisecond mutations & MCP server

Compile your Markdown vault into a portable agent memory. One build, every agent: Claude, Codex, Cursor, MCP, llms.txt.

Compile your Markdown vault into a portable agent memory. One build, every agent: Claude, Codex, Cursor, MCP, llms.txt.

Persistent project and user memory for Claude Code, Cursor, and Codex: an MCP server with semantic search, memory hooks, and remember/forget skills

🕸️ Persistent SQLite Knowledge Graph & Cross-Session Memory MCP Server in Python for Claude Desktop, Cursor & Autonomous AI Agents.

Agent memory as a Markdown wiki: one shared, verified knowledge base that Claude Code, Codex and GPT read and write. Lessons enter only after a green verifier, mistakes become permanent guardrails, and a local recall MCP surfaces them before the next agent starts working.

Local memory, a codebase index, and working discipline for AI coding agents. Zero dependencies, no network, MCP included. Measured, not asserted.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

Memory for AI coding agents that outlives the session: save where the work stands, pick it up in the next session or from another agent. An MCP server for Claude Code, Cursor and other MCP apps; notes are kept on Agent Memory Bank (x402trinity.com Marketp

Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.

Local SQLite memory for AI agents through MCP. Includes text search, bounded graph recall, and examples for hosted and local models.

6-layer persistent memory (sensory, working, episodic, semantic, long-term, procedural) with non-destructive belief revision and injection-safe context synthesis — an MCP server for Claude Code, Cursor, Antigravity, Codex CLI, and any MCP-compatible agent.

AI agent memory & trust infrastructure | x402 USDC | Recall compression

Persistent multi-path memory for AI agents — vector + BM25 keyword + entity graph search with RRF fusion, credential scrubbing, auto-consolidation, multi-backend storage (Qdrant + SQLite/Postgres)

Codify how you work. Every AI tool obeys. Markdown rules + cross-tool companion files (AGENTS.md/CLAUDE.md/.cursor/rules/.gemini) + Compliance Receipts for protocol-level enforcement of destructive ops. Reference implementation of CRP 1.0. Works on every

Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database. Listed in the MCP Registry.

Persistent decision and constraint memory for coding agents: a local stdio MCP server and CLI that store ADR-style decisions as git-friendly markdown, linked to SpecGate requirement ids, tests and commits.

Local-first memory, hybrid RAG, and agent personalization for AI coding agents (OpenCode, Claude Code, Codex, Gemini CLI, Antigravity). MCP server + CLI with persistent context, document ingestion, vector + SQLite FTS5 retrieval, sync, setup, and safe uni

Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming.

Turn MEMORY.md into project-scoped, versioned memory for Codex, Claude Code, and MCP agents across sessions.

四层记忆引擎 (Memory Engine) — 让 Agent 越用越聪明

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

Self-hosted AI agent memory — MCP memory server with durable recall for agents

Make your agent's memory work like a brain. Hippo is long-term memory for coding agents.

Memories — agent-agnostic memory for AI coding agents. MCP server + installer CLI.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.