Topics / #memory-engine
Memory-engine projects on GitHub
Engines that store and retrieve long-term memory for AI agents.
As of , the most-starred Memory-engine projects on GitHub are claude-mem (101.9K stars), mem0 (67.5K stars) and LongMemory (4.5K stars). GitHub.Locker tracks 9 Memory-engine repositories with 183.3K stars combined. The fastest-growing on October 19 was claude-mem, with +198 stars in a day.
Hot right now
Most stars gained in a day · Oct 19
+198claude-mem
thedotmack/claude-mem · ★ 101.9KClaude-Mem gives coding agents persistent memory across sessions: it captures everything your agent does, compresses it with AI, and injects the relevant context back into future sessions.
+134Hy-Memory
Tencent-Hunyuan/Hy-Memory · ★ 959Hy Memory is a production-grade dual-system cognitive memory engine and Python SDK (hy-memory) for self-evolving LLM agents, with separate memory pipelines for Chat, Working, and Coding tasks. It also ships MemHub, a local-first desktop and CLI tool that unifies memory from apps like Claude Code, Cursor, and Codex into one managed local store.
+75mem0
mem0ai/mem0 · ★ 67.5KMem0 is a memory layer for AI agents and apps: it stores user preferences and conversation history so your AI assistant remembers people across sessions instead of starting from zero every time.
+11Memslides
huohua325/Memslides · ★ 919MemSlides is a hierarchical memory-driven agent framework that treats slide generation as a stateful authoring process. It uses layered memory (user profile, working, tool) to personalize decks and apply scoped local revisions instead of regenerating the whole presentation.
The all-time top
9 projects · by stars
- 101.9K
#1 · thedotmack/claude-memclaude-mem
Claude-Mem gives coding agents persistent memory across sessions: it captures everything your agent does, compresses it with AI, and injects the relevant context back into future sessions.
- 67.5K
#2 · mem0ai/mem0mem0
Mem0 is a memory layer for AI agents and apps: it stores user preferences and conversation history so your AI assistant remembers people across sessions instead of starting from zero every time.
- 4.5K
#3 · CaviraOSS/LongMemoryLongMemory
LongMemory is a cognitive memory engine that gives LLM applications and autonomous agents durable, temporal, governed memory instead of being stateless between sessions.
- 4

m_flow
4.5KFlowElement-xinliuyuansu/m_flow · PythonM-flow is a bio-inspired cognitive memory engine that acts as a new paradigm for Graph RAG: instead of just retrieving similar text chunks, it builds a graph of memories and scores answers by the strongest chain of evidence connecting the query to the content, the way human recall works.
- 5

VoiceMem
2.6Kxzf-thu/VoiceMem · PythonVoiceMem is an open-source memory infrastructure for real-time voice agents, giving them long-term memory through a dual-brain architecture: a 'left brain' that stores factual information and a 'right brain' that tracks emotions and personality, built on a fully streaming pipeline to keep latency low.
- 6

Hy-Memory
959Tencent-Hunyuan/Hy-Memory · PythonHy Memory is a production-grade dual-system cognitive memory engine and Python SDK (hy-memory) for self-evolving LLM agents, with separate memory pipelines for Chat, Working, and Coding tasks. It also ships MemHub, a local-first desktop and CLI tool that unifies memory from apps like Claude Code, Cursor, and Codex into one managed local store.
- 7

Memslides
919huohua325/Memslides · PythonMemSlides is a hierarchical memory-driven agent framework that treats slide generation as a stateful authoring process. It uses layered memory (user profile, working, tool) to personalize decks and apply scoped local revisions instead of regenerating the whole presentation.
- 8
RecallWeave
175Herricka/RecallWeave · RustRecallWeave is a local-first agent memory lifecycle engine: it stores typed memories in an append-only, hash-chained log and handles dedupe, conflict detection, forgetting, compaction and portable export.
- 9

memoket-kite
163memoket/memoket-kite · PythonKITE is an open-source, vector-free long-term memory engine for AI agents: it turns conversations into structured, topic-indexed facts and answers questions with inspectable retrieval plans instead of embedding similarity search, topping the LoCoMo and LongMemEval benchmarks.
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