LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
Promote a team-relevant learning to the shared team-knowledge repo, deduping against existing notes first.
Scaffold a complete knowledge system. Detects platform, conducts conversation, derives configuration, generates everything. Validates…
Get additional project context from the secretary — past decisions, architectural patterns, project history, and lessons learned via…
Install the BenAI Relay fork in an Obsidian vault as the foundation for a shared Team OS — replaces the official Relay (`system3-relay`)…
Semantica full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning…
Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets…
Ingest data from files, databases, APIs, or streams into Semantica knowledge graphs with schema mapping and entity linking.
Manage ontology schemas, concepts, relationships, and alignments for Semantica knowledge graphs.
Visualize the Semantica knowledge graph — topology, centrality, communities, paths, embeddings, decision insights, and temporal evolution.
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions.
Populate or refresh a persistent, high-level project snapshot in memoir.
Build or update the code review knowledge graph, generate the visualization, and open it.
This guide walks through setting up the claude-mem plugin on an OpenClaw gateway.
Context agent for continuity between sessions.
Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity.
Persistent memory discipline for Engram contributors.
Use this skill when Zotero is the literature source of truth and the project KB should receive source notes under Sources/Papers plus…
Automate Mem tasks via Rube MCP (Composio).
Get research-backed architecture advice for your knowledge system.
Memory & Knowledge agent skills on mcprush, filed under one heading so the shelf can be read in one pass. The kinds are workflow, expertise, output format, voice & style and guardrail, and the one a skill belongs to, where its author declared it, is the fastest way to guess what it will do to your prompt.
What to look at before installing one is what it costs in context and what it takes away: a guardrail that refuses an action and a voice that rewrites a sentence are both skills, and only one of them will stop the agent doing something. Every skill here says what it costs in context, which kind it is where its author declared one, what it needs beside it to work and the licence it is published under, next to the publisher it came from and whether that publisher has been verified. The filters on the left narrow it further and the sort at the top decides what comes first.
A skill is not connected to anything: there is no endpoint to authorise and nothing routed through the gateway. Installing one drops a folder of instructions into the client’s own skill folder, and uninstalling it is deleting that folder. The exact line for each client is on the skill’s own page, because it differs by client rather than by skill.