truememory is an open-source agent memory library for AI agents, offering persistent memory and retrieval-augmented generation (RAG) capabilities with minimal infrastructure. Below are 8 autonomous agents & workflows apps with similar functionality to truememory, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
AI agent memory system with SQLite+FTS5, MCP integration, and quality gates
Persistent memory MCP server for Claude Code, Codex CLI, Cursor and any MCP client: 46 tools — knowledge graph, temporal facts, procedural memory, episodic memory, AST ingest, pre-edit guard, auto-consolidating error capture
yourmemory is an open source Python package that provides persistent memory capabilities for Claude-based and MCP-native AI agents. It features semantic deduplication, Ebbinghaus forgetting curve support, and integrates with SQLite and PostgreSQL. Designed for developers building advanced AI agent workflows.
Memoria is an open source memory hygiene tool for Windows, offering both a user-facing tray application and a headless CLI for automated cleanup. It helps IT professionals and agents maintain optimal system performance.
m3-memory is an open-source memory framework for AI agents, offering local-first storage, hybrid and vector search, and compatibility with the Model Context Protocol (MCP). It supports both offline and cloud operation, making it suitable for advanced AI agent development.
AgentMem provides a universal memory layer designed for AI agents, addressing the challenge of maintaining persistent and shared context across different frameworks. It enables agents to store, search, and sync memories, ensuring that context is not lost between sessions or fragmented across various agent implementations. The platform is intended for developers building agentic systems who require a consistent and searchable memory solution that works seamlessly with multiple frameworks. Key features of AgentMem include persistent memory storage that survives agent restarts, semantic search powered by vector embeddings to find memories by meaning, and cross-agent synchronization that allows sharing of context between different agents. The service integrates with frameworks such as LangChain, CrewAI, OpenAI, Claude, AutoGPT, and LlamaIndex. AgentMem offers a unified API for storing and retrieving memories, as well as syncing context across agents, making it straightforward to manage agent memory from a single interface. AgentMem is delivered as a cloud-based API with fast response times, built on Fastify and supported by edge caching for global performance. Security features include API key authentication, tenant isolation, and encryption at rest. The platform also provides usage analytics to track memory usage, search patterns, and agent activity. Deployment is backed by a global CDN, utilizing Railway and Cloudflare for fast and reliable access. Pricing is structured into three tiers: a free plan allowing up to 10,000 memories, semantic search, support for three agents, and community support; a Pro plan at $29 per month offering unlimited memories and agents, cross-agent sync, priority support, and usage analytics; and an Enterprise plan at $199 per month, which adds self-hosted deployment, custom integrations, a service-level agreement, and dedicated support. AgentMem is developed by Gritza.
projectmem is an open-source tool that provides a local-first memory and judgment layer for AI coding agents. It helps agents avoid repeating failed fixes by tracking past actions and outcomes, supporting more efficient and reliable AI-driven coding workflows.
observational-memory is an open-source CLI tool that provides cross-agent observational memory and local search capabilities for AI agent frameworks. It integrates with tools like Claude Code and Codex for enhanced agent collaboration.
