
Kostenlos / Open SourceGoogles Familie leichter Open-Weight-KI-Modelle
Kostenlos / Open SourceGoogles Familie leichter Open-Weight-KI-Modelle
EverMemOS verzeichnet 24.237 monatliche Besuche mit +12 % Wachstum gegenüber dem Vormonat und einem Preismodell „Kostenlose Testversion, Kostenlos“. Llongterm verzeichnet 0 monatliche Besuche mit 0 % Wachstum und einem Preismodell „Freemium, Kostenpflichtig“.

EverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.

Llongterm is a long-term memory layer for AI apps and agents. It sits between your chatbot and its memory, remembering users across conversations and storing everything in a fully human-readable format through a simple JavaScript API.
| Dimension / Kennzahl | ![]() | ![]() |
|---|---|---|
| Offizielle Domain | evermind.ai | llongterm.com |
| Preismodell | Kostenlose Testversion, Kostenlos | Freemium, Kostenpflichtig |
| Monatliche Besuche | 24.237 (24.237) | 0 (0) |
| MoM-Traffic-Delta | +2599 (+12 %) | 0 (0 %) |
| Primärmarkt und Anteil | 🇺🇸 Vereinigte Staaten (34,6 %) | 🌐 Global (—) |
| Direkte Besuche / Monat | 14.588 | 0 |
| Nutzerbewertung | 4,4 | 4,2 |
| Unterstützte Plattformen | Website | Website |

EverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.
Multimodal retrieval and ingestion via a single API, covering PDFs, images, Word files, spreadsheets, decks, emails, HTML and URLs.
Agent trajectories are recorded as Cases, distilled into reusable Skills, and reused so performance improves over time.
Inspect, manage and edit user, group and agent memories in a dedicated Memory Bank interface.
EverMind publishes reproducible results on LoCoMo, LongMemEval and AMA alongside its memory research.

Llongterm is a long-term memory layer for AI apps and agents. It sits between your chatbot and its memory, remembering users across conversations and storing everything in a fully human-readable format through a simple JavaScript API.
Store and recall user details across sessions so an assistant remembers preferences, history and context.
Memories are stored with named keys and nested structure, so you can read and audit exactly what is retained.
A JavaScript SDK plus Python on the way, with a sandbox so you can try the flow before integrating.
Llongterm sits between your app and any chatbot or agent, including assistants, support bots and analysis workflows.

Kostenlos / Open SourceGoogles Familie leichter Open-Weight-KI-Modelle
Kostenlos / Open SourceGoogles Familie leichter Open-Weight-KI-Modelle
Kostenlos / Open SourceEin kostenloser, quelloffener persönlicher KI-Agent, der Ihre Projekte lernt und in jeder Messaging-App arbeitet.
Kostenlos / Open SourceEin kostenloser, quelloffener persönlicher KI-Agent, der Ihre Projekte lernt und in jeder Messaging-App arbeitet.
Kostenlos / Open SourceModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
Kostenlos / Open SourceModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

Sicheren, authentifizierten Zugriff für KI-Agenten auf über 1.700 Apps
Sicheren, authentifizierten Zugriff für KI-Agenten auf über 1.700 Apps
Kostenlos / Open SourceUnsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
Kostenlos / Open SourceUnsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.

Die universelle Kontext-Engine, die Agenten mit Daten, Tools und Modellen verbindet
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
KI-Gateway, Observability und Guardrails für LLM-Apps in Produktion

Eine Memory- und Continual-Learning-Engine, die jedem KI-Agenten dauerhaften Kontext gibt
Eine Memory- und Continual-Learning-Engine, die jedem KI-Agenten dauerhaften Kontext gibt

Kostenlos / Open SourceSelbststeuernde Agenten-Plattform in Ihrer eigenen Cloud
Kostenlos / Open SourceHoncho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.
Kostenlos / Open SourceHoncho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.