Search NHTSA vehicle recalls, FDA food/drug recalls, and CFPB consumer complaints. 3 tools for product safety monitoring.
Recall user memories from the Notion Memory Store. Trigger PROACTIVELY at the beginning of conversations where knowing the user's background, preferences, pa...
Local retrieval-augmented generation system for AI agents using ChromaDB and sentence-transformers, supporting multi-agent shared memory and privacy controls.
Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...
The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into priorit...
Search past session transcripts to recover lost conversation context. MUST use when: (1) the current session is new or has very few messages AND the user's m...
使用 LibRAG 本地 `/api/v1/librag/knowbase/recall` 接口做知识库数据召回。适用于中文场景下的知识库检索、资料召回、证据段落提取、出处定位、基于知识库
Cross-group memory, search, and event sharing for OpenClaw Feishu agents
使用 LibRAG 本地 `/api/v1/librag/knowbase/recall` 接口做知识库数据召回。适用于中文场景下的知识库检索、资料召回、证据段落提取、出处定位、基于知识库的问答取证，以及用户用“知识库查询”“数据召回”“从文档里找答案”等表达发起的任务。
Store and recall persistent memories via FlightBox (Quack Network). Use when storing agent memories, recalling past context, searching agent memory, or persi...
Configure and validate OpenClaw memory recall for persistent context. Use when enabling memory_search/memory_get, fixing poor memory recall, or setting up ME...
Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet add...
Pure-Python recursive memory recall for persistent AI agents. Manager→workers→synthesis RLM loop — no Deno, no fast-rlm, just HTTP calls to any OpenAI-compat...
Persistent long-term memory for AI agents. Store, recall, reason, and seamlessly switch sessions with zero context loss.
Local memory system with structured indexing and auto-learning. Auto-write, heuristic recall, auto learning when knowledge is insufficient. Compatible with s...
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...
Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supp
Provides OpenClaw agents with local, scene-aware, persistent structured memory for task deduplication and long-term workflow recall.
Persistent memory for agents. Stores preferences, decisions, facts, and events as a connected knowledge graph. Recalled by who, what, when, or why.
Audit and improve OpenClaw workspaces across SOUL, AGENTS, TOOLS, USER, MEMORY, and skills for persona tuning, proactive behavior, recall, and workflow fit....
Local persistent memory for OpenClaw agents. Captures conversations, extracts structured facts via LLM, and auto-recalls relevant knowledge before each turn....
--- name: vanar-neutron-memory description: Save and recall agent memory with semantic search. Context that persists across every session. user-invocable: true metadata: {"openclaw": {"emoji": "🧠",