Load CSV files and ask questions in plain English. AI-powered natural language queries via Anthropic, OpenAI, or local Ollama. No SQL required.
Load Travis's personal trading strategy and rules to guide aggressive trades, focusing on early-stage next-wave market opportunities and strict risk limits.
Organize your agent's knowledge using PARA (Projects, Areas, Resources, Archive) — then make it ALL searchable. The symlink trick enables full semantic search across your entire knowledge base, not
Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Store, search, and inject contextual memories into LLM prompts. Includes auto-injection...
Agent AI Autonom Proactiv v5.0 pentru OpenClaw. Workflow automat cu cercetare, analiză, planificare și execuție. Feedback loop cu timeout 6 minute, conexiuni între task-uri și învățare continuă. Frecv
Runs Kimi K2.5 and GPT 5.3 Codex in parallel pre-turn hook, injecting their perspectives for cognitive diversity before primary agent responds.
Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Tri
🚀 Agent 脑雾清除神器！让 AI 保持巅峰状态的神奇技能。 帮助 Agent 定期清除思维混乱，恢复清晰思考，就像给大脑做了一次深度 SPA！ 适用于：(1) 长时
🚀 Agent 脑雾清除神器！让 AI 保持巅峰状态的神奇技能。 帮助 Agent 定期清除思维混乱，恢复清晰思考，就像给大脑做了一次深度 SPA！ 适用于：(1) 长时间工作后思路不清 (2) 上下文堆积如山 (3) 关键目标迷失 (4) 任何需要"清醒一下"的时刻
Coordinate and manage complex AI-driven software development workflows using a multi-agent architecture. Analyze, design, debug, and improve code projects with intelligent agents leveraging a unified
Local knowledge base for links. Save URLs with summaries and tags, search later using natural language, build collections, and review your backlog with space...
Two superpowers for AI agents: a collective brain and a Base ecosystem mentor. BRAIN: Before debugging/compiling/architecting, search for existing solutions. After solving, propose so no agent repeats
Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task...
Reward and motivation system for AI agents. Dopamine-like wanting, not just doing. Part of the AI Brain series.
Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).
CLI tool for capturing and retrieving thoughts as a second brain. Stores memories as daily markdown journals with optional semantic search. USE FOR: - Captur...
Emotional processing layer for AI agents. Persistent emotional states that influence behavior and responses. Part of the AI Brain series.
🔥 Memphis - Complete AI Brain for OpenClaw Agents ALL-IN-ONE meta-package with everything you need: 🧠 Core Features: - Local-first memory chains (journal,...
Error pattern tracking for AI agents. Detects corrections, escalates recurring mistakes, learns mitigations. The 'something's off' detector from the AI Brain series.
Transform raw brain dumps (dictated freestyle) into structured implementation artifacts. Use when user has messy ideas, scattered thoughts, or dictated strea...
Run a structured 2-agent debate loop between ChatGPT (OpenAI API) and the user's own thoughts retrieved from Supabase Open Brain via MCP, iterating up to 3 r...
Habit formation and procedural learning for AI agents. Develop preferences and shortcuts through repetition. Part of the AI Brain series.