ИИ-агенты
LongMemory
LongMemory: local-first memory for AI agents with temporal truth, provenance, and hybrid recall
★ 4,5 тыс. звёздApache-2.0
Смотреть руководство →memory-lancedb-pro — проект с открытым исходным кодом из категории «ИИ-агенты» от CortexReach (CortexReach/memory-lancedb-pro на GitHub). У него 4 454 звезды на GitHub и 729 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
Memory-LanceDB-Pro gives OpenClaw agents hybrid search, smart extraction, and intelligent forgetting
Memory-LanceDB-Pro is a plugin for the OpenClaw agent runtime, so have a working OpenClaw setup.
Install memory-lancedb-pro (beta channel) via the OpenClaw plugin command or npm.
Set it as the memory slot in openclaw.json, choose an embedding provider, and validate the config.
Restart the gateway and hold a conversation — facts are captured and recalled automatically.
Conversations are distilled into six memory categories automatically, not stored as raw transcripts.
Vector search plus BM25 keyword search, re-ranked by a cross-encoder for precision.
Memories are separated per agent, user, or project to prevent cross-contamination.
A Weibull decay model ages memories so stale facts fade like human memory.
Your MEMORY.md and memory files are indexed and searchable alongside captured facts.
Backup, export, import, upgrade, and re-embed commands keep the memory store maintainable.
Clone the project and enter its directory (most users install the plugin directly, next step).
git clone https://github.com/CortexReach/memory-lancedb-pro.git
cd memory-lancedb-proInstall into OpenClaw from the beta channel (or `npm i memory-lancedb-pro@beta`).
openclaw plugins install memory-lancedb-pro@betaPoint OpenClaw's memory slot at the plugin in openclaw.json, validate, and restart the gateway.
openclaw config validate
openclaw gateway restartCortexReach develops the plugin for the OpenClaw ecosystem.
The plugin's README badge states the MIT license. You supply an embedding provider — local Ollama embeddings can avoid API costs.
Only if you pick a hosted embedding provider (OpenAI, Jina, Gemini); Ollama or a local OpenAI-compatible endpoint works without one.
The plugin adds LLM-based extraction, hybrid vector+BM25 retrieval with reranking, multi-scope isolation, and decay-based forgetting beyond basic storage.
Run `openclaw plugins install memory-lancedb-pro@beta`, set the memory slot and embedding provider in openclaw.json, then `openclaw gateway restart`.
LongMemory: local-first memory for AI agents with temporal truth, provenance, and hybrid recall
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.