bettermemory is an open-source, local-first memory layer for AI coding agents, offering per-hit staleness verdicts, claim-level use attribution, and episodic run-state tracking. Below are 15 frameworks & sdks apps with similar functionality to bettermemory, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
yggdrasil-memory is an open-source, local-first memory infrastructure designed for AI coding agents. It enables agents to share and persist context using the MCP protocol, with zero external dependencies. Ideal for developers building autonomous or collaborative AI agents requiring shared, durable memory.
AgentMem is a universal memory layer for AI agents, offering persistent, searchable, and synced context across frameworks like LangChain, CrewAI, OpenAI, and Claude. It provides an API and CLI for storing, retrieving, and syncing agent memories, helping developers build more context-aware agentic systems.
ai-dememory is an open-source toolchain and MCP server that enables AI agents to store, manage, and retrieve memory locally across multiple large language models. It is designed for developers building personal or autonomous AI systems that require persistent, local-first memory infrastructure.
getmem-ai is an open-source persistent memory API designed for AI agents and LLM-based applications. It allows developers to store, retrieve, and manage contextual memory, supporting advanced agent workflows and retrieval-augmented generation (RAG). Ideal for AI developers building context-aware systems.
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.
memorylaier is an open-source Python SDK that provides persistent memory infrastructure for AI agents. It enables developers to efficiently store, manage, and retrieve agent memory, supporting advanced AI workflows. The SDK is designed for integration into AI systems and is available under the Apache-2.0 license.
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.
supermem is an open-source command-line tool that provides persistent AI memory using a four-tier retrieval system, integrating SQLite FTS5, graph, vector, and LLM agent layers. It is designed for AI developers and researchers seeking advanced memory and retrieval capabilities for language models.
Memori is an agent-native memory infrastructure layer for AI systems, turning agent execution and conversations into structured, persistent state. It enables developers to capture, classify, and recall facts, preferences, rules, and summaries from chat interactions, supporting targeted recall and semantic search. Designed for production AI, it helps teams manage and enrich conversational context efficiently.
betterdb-agent-memory is an open-source Python package that implements a long-term memory tier for AI agents, featuring semantic recall, recency and importance ranking, and memory consolidation. It is designed for developers building advanced AI agent systems.
chimera-memory is an open-source reliability ledger designed for AI coding-agent workflows. It offers local-first storage to ensure robust tracking and verification of agent actions, supporting developers in building trustworthy autonomous coding systems.
mymem0ry is an open-source personal memory system for AI coding agents, providing offline semantic search, cross-agent handoffs, and zero API key requirements. It is designed for developers building autonomous AI agents that need persistent, shareable memory.
MemMachine is an open-source memory layer designed for AI agents, allowing them to store, recall, and manage user data and preferences across sessions. It supports multi-agent and multi-session memory, helping developers build more context-aware and personalized AI assistants.
Memoryport is an open-source, local-first CLI tool that provides persistent memory for AI conversations across multiple tools and LLMs. It stores conversation context locally, offers optional encrypted backup to Arweave, and integrates with various AI platforms, ensuring privacy and continuity for advanced AI users.
memosq is an open-source framework that provides persistent, cross-agent memory for AI coding assistants. It leverages semantic search and SQLite to store and retrieve contextual information, enabling more effective and context-aware AI agent collaboration.
