DeepVista CLI — knowledge base, notes, chat, and skills from the terminal. One skill for the full deepvista CLI. Load when the user wants to: take a note, jot this down, save a fact, list / edit notes; create, search, pin, archive, edit, or grep knowledge-base cards (person, topic, file, note, todo…) via deepvista…
Zikra gives you cross-session, cross-machine, cross-agent memory backed by PostgreSQL + pgvector. Search, save, and retrieve decisions, errors, and context.
Turn a day of captured Claude Code sessions into a readable Obsidian daily note in the user's notes repo. Use when the user asks to digest a day, build the daily note, or catch up the daily memory. Also run unattended by the nightly digest routine.
Use when Codex should work on a repository with OACS-backed development memory: build repo context, record command results as evidence, checkpoint iterations, capture D1 repo episodes, coordinate explicitly requested subagents through one shared OACS database, and close subagents when their goals are done.
Build a personalized Engrama memory graph for any user through a conversational interview. Use this skill whenever someone says "set up Engrama", "create my graph", "onboard", "build my profile", "configure Engrama for me", or asks how to start using Engrama. Also use when the user mentions they have a different role…
Institutional memory for AI agents via MCP. Gives your agent persistent memory that survives across sessions — mistakes (scars), successes (wins), decisions, and open threads. Use when you want your agent to stop repeating the same mistakes, carry context between sessions, and learn from experience. Not chat history …
Use atrib as the verifiable substrate for memory, reasoning, and getting sharper over time, not as instrumentation that observes you from the outside. atrib gives the agent two cognitive verbs: attest (write: sign an observation, mark a past record's importance, or supersede a prior position) and recall (read: look up…
Use stato to persist, validate, and restore an AI agent's cognitive state (memory, plan, context, skills) as typed Python modules in a .stato/ directory. Load this when working in a project with a .stato/ folder: to restore prior context (stato resume), capture what you learn (crystallize / edit modules), validate…
A project workflow for coordinating several coding agents on the same software project. It uses shared project structure, decisions, handoffs, checklists, and memory so agents can continue each other's work.
A full-featured skill for 乐享知识库, a personal or shared knowledge base. It supports searching and managing knowledge-base content when users mention 乐享, lexiang, or related links.
Use this skill when a user wants Codex CLI or another MCP-compatible coding client to work through a harness-engineering loop with explicit execution contracts, persistent local knowledge/RAG, durable traces, structured verification evidence, project-local governance policy, PASS/FLAG/BLOCK governance audits…
Deterministic, self-hosted long-term memory for AI agents. Trigger when the user wants persistent memory, MCP-backed assistant memory, or wants to integrate ai-knot into Python, CrewAI, LlamaIndex, AutoGen, the OpenAI Agents SDK, PydanticAI, LangChain/LangGraph, TypeScript, or HTTP services. This is the default…
Persistent external brain for ChatGPT, Codex, Claude, and other MCP clients — documents (PDFs, contracts, scans with OCR), personal facts (appointments, decisions, items, amounts), AND code lessons / preferences / project topology. USE PROACTIVELY in three modes. (1) RECALL — whenever the user asks about anything from…
Use this skill whenever working on a project that has a .agent-memory/ directory. At the start of every coding task call memory.fetchcontext to load current state, conventions, and relevant prior decisions. After making a durable choice, hitting a footgun, or wrapping a session, call memory.proposeupdate to persist…
Personal Knowledge Base management skill. Use for ingesting documents, creating source notes, structured logging, canonical authority resolution, document-level provenance edges, and managing a Git-backed Obsidian vault.
Gives an agent persistent long-term memory backed by a local sparse-vector file. Use when the agent should recall past context, learn from interactions, or incorporate reinforcement feedback. Relevant for tasks mentioning memory, recall, learning, history, or context retention.
Context retrieval patterns for accessing session context via an MCP-compatible context server. Provides patterns for browse and retrieve, hybrid search, semantic search, and full-text search. Use when you need to retrieve previous context or search for relevant information.
A full validation of a structured knowledge system against ten consistency rules, including existing references, declared relationships, document status, and non-contradictory content.
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+1 5mo agoA67 tokens
originalMIT
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