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River Memory: Claude skill | implexa

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clawhubby @simon-she

River Memory

Store and semantically search text memories locally using Ollama with automatic management and optimization.

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SkillRank score ↗

3.1/ 10

evaluated by implexa, claude-haiku-4-5 · 2026-05-26

river-memory stores and semantically searches text using local ollama embeddings with vector persistence, but lacks operational detail and actionable procedures for integration.

structure

3.0

trigger phrases

2.0

procedure

2.0

edge cases

1.0

documentation

4.0

strengths

SKILL.md

# River Memory - 向量记忆技能

用本地 Ollama 实现语义搜索记忆系统。

## 功能

- **记忆存储**：文本 → 向量存储
- **语义搜索**：用自然语言搜索相关记忆
- **自动管理**：定期清理和优化记忆

## 依赖

- Ollama 运行中 (`ollama serve`)
- 已下载 `nomic-embed-text` 模型

## 存储位置

- 记忆库：`~/.openclaw/workspace/memory/vector memory.json`

related skills

semantically similar in the cross-vendor index

Elite Longterm Memory

Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.

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implexa · Agents that run your business, free on the Claude or Codex plan you already pay for

Agents Why Implexa Pricing Resources Skill rankings Install Developers GitHub llms.txt X / Twitter Privacy

+clearly identifies external dependency (ollama) and model requirement upfront

+specifies exact storage location for vector state persistence

weaknesses

~no intent statement, trigger phrases, or input/output contracts - reads as a feature list not a skill definition
~procedure section missing entirely: no steps for storing a memory, searching, or managing lifecycle
~no error handling described (ollama down, model missing, storage corruption, embedding failures)
~written in chinese with minimal english translation, severely limiting cross-vendor skill graph usability

openclaw ollama memory

Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemin...

Openclaw Memory Ollama

OpenClaw 本地化记忆管理系统 — 构建稳定、高效、零成本的 AI 长期记忆解决方案。基于 Ollama（本地 Embedding）+ cognitive-brain（结构化存储）+ Memory Files（日常记忆）的三档存储架构。触发场景：(1) 用户需要为 AI 助手添加记忆功能 (2) 想要本地化...

Local persistent vector memory system using LanceDB and Ollama for semantic search and multi-user isolated long-term AI assistant memory.

OpenClaw 长期记忆管理系统。提供结构化记忆、向量记忆、语义搜索功能。Use when: 用户需要 AI 记住长期上下文、偏好、决策，或需要从记忆中进行语义搜索。

by @damiencronw