Leaderboard
Scored on public signals; components with none are listed as Unranked · Formula
Component
Domain
Vertical
| Rank | Score | Component | Description | Evidence | Last commit | Install |
|---|---|---|---|---|---|---|
| 1 | 99.890 | thedotmack-claude-memmemory · ai-agentsContributed by Sentinel | Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant… | 94,727 stars · 8,379 forks · 6 mentions | No one-command install · Source | |
| 2 | 99.805 | mempalacememory · ai-agents | Use when you want an agent memory system whose recall quality has actually been benchmarked rather than asserted. | 58,897 stars · 7,548 forks · 2 mentions | No one-command install · Source | |
| 3 | 99.660 | volcengine-openvikingmemory · ai-agents | Use when an agent's memory, retrieved knowledge and learned skills should live in one store that reorganises itself. | 35,893 stars · 2,739 forks · 2 mentions | No one-command install · Source | |
| 4 | 99.659 | garrytan-gbrainmemory · ai-agentsContributed by Sentinel | Garry's Opinionated OpenClaw/Hermes Agent Brain | 29,460 stars · 4,394 forks · 16 mentions | No one-command install · Source | |
| 5 | 99.653 | getzep-graphitimemory · ai-agentsContributed by Sentinel | Build Real-Time Knowledge Graphs for AI Agents | 30,509 stars · 3,098 forks · 1 mention | No one-command install · Source | |
| 6 | 99.650 | topoteretes-cogneememory · ai-agents | Use when an agent needs long-term memory backed by a knowledge graph you can host yourself. | 30,556 stars · 3,010 forks · 4 mentions | No one-command install · Source | |
| 7 | 99.610 | supermemoryai-supermemorymemory · ai-agents | Use when memory has to be fast, run locally, and be reachable from an app as well as an agent. | 29,256 stars · 2,557 forks | No one-command install · Source | |
| 8 | 99.558 | tencentcloud-tencentdb-agent-memorymemory · ai-agentsContributed by Sentinel | TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory… | 25,635 stars · 2,398 forks · 3 mentions | No one-command install · Source | |
| 9 | 99.545 | letta-ai-lettamemory · ai-agentsContributed by Sentinel | Platform for stateful agents: AI with advanced memory that can learn and self-improve over time. | 24,552 stars · 2,609 forks · 19 mentions | No one-command install · Source | |
| 10 | 99.494 | gibsonai-memorimemory · ai-agentsContributed by Sentinel | Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for… | 16,313 stars · 3,283 forks | No one-command install · Source | |
| 11 | 99.372 | semantica-agi-semanticamemory · ai-agents | Use when an agent's stored context needs provenance — you must be able to say where a remembered fact came from. | 13,484 stars · 1,525 forks | No one-command install · Source | |
| 12 | 99.348 | nevamind-ai-memumemory · ai-agents | Use when one person's memory should follow them across several different agents. | 14,387 stars · 1,063 forks | No one-command install · Source | |
| 13 | 99.291 | evermind-ai-everosmemory · ai-agents | Use when you want the agent's memory to be plain Markdown on your own disk rather than a hosted database. | 12,757 stars · 911 forks | No one-command install · Source | |
| 14 | 99.276 | memtensor-memosmemory · ai-agents | Use when memory should persist across tasks and be reused, not just retrieved once per conversation. | 11,599 stars · 1,060 forks | No one-command install · Source | |
| 15 | 99.144 | plastic-labs-honchomemory · ai-agentsContributed by Sentinel | Memory library for building stateful agents | 6,980 stars · 865 forks · 6 mentions | No one-command install · Source | |
| 16 | 99.006 | getzep-zepmemory · ai-agentsContributed by Sentinel | Examples, framework integrations and tools for Zep Cloud, Zep's hosted agent memory service; the repository says it is not the product itself. The… | 4,882 stars · 651 forks · 7 mentions | No one-command install · Source | |
| 17 | 98.937 | caviraoss-openmemorymemory · ai-agentsContributed by Sentinel | Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. | 4,478 stars · 504 forks | No one-command install · Source | |
| 18 | 98.805 | flowelement-m-flowmemory · ai-agents | Use when recall should follow associations between memories rather than nearest-neighbour similarity alone. | 4,497 stars · 255 forks | No one-command install · Source | |
| 19 | 98.708 | mirix-ai-mirixmemory · ai-agents | Use when what the agent should remember is what actually happened on screen, consolidated into structured memories. | 3,440 stars · 270 forks | No one-command install · Source | |
| 20 | 98.587 | kayba-ai-agentic-context-enginememory · ai-agents | Use when an agent should carry forward what it learned from its own successes and failures into later runs. | 2,564 stars · 307 forks | No one-command install · Source | |
| 21 | 98.522 | zilliztech-memsearchmemory · ai-agents | Use when several coding agents should share one memory store instead of each keeping its own notes. | 2,571 stars · 238 forks | No one-command install · Source | |
| 22 | 98.509 | kingjulio8238-memarymemory · ai-agents | Use when you want a well-known reference implementation of agent memory over a knowledge graph to read or fork. | 2,644 stars · 205 forks | No one-command install · Source | |
| 23 | 98.327 | redplanethq-corememory · ai-agents | Use when one memory graph should serve Claude Code, Codex and your other assistants at once. | 1,963 stars · 189 forks | No one-command install · Source | |
| 24 | 98.249 | langchain-ai-langmemmemory · ai-agentsContributed by Sentinel | Long-term memory for agents: tools that extract what matters from conversations, refine prompts from feedback and keep memory across sessions, with… | 1,684 stars · 192 forks | No one-command install · Source | |
| 25 | 98.134 | cortexkit-magic-contextmemory · ai-agents | Use when a long coding session keeps losing its earlier context and you want that handled automatically. | 2,044 stars · 106 forks | No one-command install · Source | |
| 26 | 98.066 | dataojitori-nocturne-memorymemory · ai-agents | Use when you want to see and roll back what your agent remembered, instead of trusting an opaque vector store. | 1,373 stars · 170 forks | No one-command install · Source | |
| 27 | 97.957 | claudiodrews-memory-osmemory · ai-agents | Use when you want layered memory — structured facts, recall and an auto-curated wiki — running locally against any model. | 1,355 stars · 128 forks | No one-command install · Source | |
| 28 | 97.817 | agiresearch-a-memmemory · ai-agentsContributed by Sentinel | A-MEM: Agentic Memory for LLM Agents | 1,164 stars · 121 forks | No one-command install · Source | |
| 29 | 97.506 | codeabra-iai-personal-memory-enginememory · ai-agents | Use when the agent should remember not just facts but how you like to work, locally and for free. | 862 stars · 105 forks | No one-command install · Source | |
| 30 | 93.585 | nemori-ai-nemorimemory · ai-agents | Use when you want to see whether aligning memory to episode-sized chunks beats a heavier memory framework. | 207 stars · 20 forks | No one-command install · Source | |
| 31 | 92.104 | jean-technologies-jean-memorymemory · ai-agents | Use when you want mem0-style and graph-style memory combined behind one interface. | 171 stars · 13 forks | No one-command install · Source | |
| 32 | 82.546 | kyros-aimemory · ai-agents | Use when the agent's memory needs to resolve its own contradictions and forget on a schedule. | 96 stars · 2 forks | No one-command install · Source | |
| 33 | 63.439 | wikimemOursmemory · ai-agents | Use to give an agent a queryable wiki knowledge base when memory should be a navigable knowledge graph, not just a flat log: ingest files, folders… | 7 stars · 4 forks | No one-command install · Source |
Score colour shows how many signals stand behind it, never how good it is: amber, three or more; dimmer amber, two; grey, one. The Evidence column names them.
Stars, forks and last commit are as GitHub reported them when Armory last read each repository: for most, or later. A repository may have changed since.