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…
Design recurring knowledge-base update loops for Obsidian-style vaults, project wikis, second-brain folders, and research notebooks. Use when setting up automated source ingestion, daily reflection, meeting-note processing, health checks, state cursors, runbooks, scheduler prompts, or validation gates for a maintained…
Synchronize code assistant memory and consolidate memory across Claude Code, Codex CLI, Gemini CLI, Antigravity, Cursor, and Windsurf. Use when users want shared provider memory, global memory sync, memento sync, memory cleanup, or multi-assistant context portability.
Finish a PAI→Soma migration by placing PAI's imported life-OS content correctly: keep the Purpose compartment as a lean 4-field distillation, promote the rich imported categories (beliefs, mental models, decision frames, challenges, lessons) into Soma memory as recall-able notes, and protect the curated purpose.md…
Persistent session memory and wallet for AI agents — works on Bedrock, Vertex, API, and Foundry where Anthropic's built-in memory doesn't. Auto-captures git commits, publishes, and file writes without manual remember() calls. Apache 2.0 licensed, self-hostable, MCP-native. 15 MCP tools: remember, recall, forget…
Local content + seen-ledger for the social-fetch family. Stores every fetched URL (and any URL the agent records via Claude WebFetch / research tools) in a SQLite + FTS5 store + a markdown mirror tree. Use to answer "have we seen this URL?" / "what did we save about X?" / "store this WebFetch output for next time" …
Complete memory system for OpenClaw agents. Combines behavioral protocol (when to save) + auto-capture (heartbeat-enforced) + semantic search (recall) + maintenance (consolidation). Use for persistent memory, context recovery, answering "what did we discuss about X", and surviving context compaction. Includes…
Lay material into TheBrain as a connected graph rather than a pile of notes. Use when asked to "put this article in my brain", "save this", "add it to the knowledge base", "break this down and record it" — about an article, a document, a discussion, a research result or the user's own thinking. Covers: how finely to…
Build a categorized embedded engineering library and linked Obsidian knowledge base from a real firmware, robotics, hardware, or edge-AI workspace. Use when Codex must discover multiple subprojects, identify technology-stack evidence from project files, stage full projects into platform-and-board-classified archives…
Audit and optimize OpenAI Codex context locally, enforce reviewable context budgets, compile model and subagent profiles, detect capability drift, create redacted lockfiles, inspect model-visible prompt structure, and render honest token, credit, quota, or API-cost receipts. Use when the user explicitly invokes…
Build bounded Memory Recall semantic setup proposals from selected repository documentation. Trigger when the user says "map this project into OAF", "remember my decisions", "/oaf-memory", or sets up OAF memory on a repo.
Background pattern-finding for a Zo Computer workspace, modeled on Anthropic's Dreaming feature for Claude Managed Agents (released 2026-05-06). Runs between sessions, reviews recent activity across projects plus Files, Skills, Personas, Rules, Automations, and hosted Sites, and surfaces cross-project bleed, drifted…
Use the connected GCTRL knowledge base as long-term memory over MCP. Trigger BEFORE answering any factual question about the user's organization, projects, people, systems, decisions, history, or file locations — including "what do we know about X", unfamiliar proper nouns, and "our/we" references — and AFTER…
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Manage and explain a repository's .agent-kb/ knowledge base (KB) for coding agents. Use when the user works with the KB — asks how the KB or its commands behave, sets up project memory, records durable knowledge, refreshes the KB runtime protocol, validates routes/links, compiles inbox notes into topics, trims stale…
A lightweight project-memory setup that creates CLAUDE.md, AGENTS.md, LOOP.md, BUGS.md, and a .mem folder. It is intended for Chinese-language projects.
Project Context System — structured project memory for any project via layered docs and codebase index. Use for: documenting projects, writing PRD/roadmap, generating codebase repo-wiki, capturing requirements/decisions, writing dev notes, building doc navigation index, compacting bloated docs, auto-detecting stale…
Review this session's knowledge base usage. Use when the user asks whether the KB was updated, what was captured, if anything was missed, or wants a session retrospective on knowledge capture quality.
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originalMIT
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