Graph-native memory engine for AI agents — hybrid vector+keyword search, biological decay, Zettelkasten linking, trust-gated conflict resolution, explainabil...
Persistent identity architecture for AI agents. 16 MCP servers covering drives, emotional relationships, semantic memory with decay, working threads, learned patterns, journal, genesis (identity disco
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).
Helps calculate the rate at which trust in a skill or agent is decaying by combining time elapsed since last verification with the rate of change in behavior...
Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.
Virtual creature REST API for AI agents. 32 species, 5 evolution stages, 7 care actions, permanent death with gravestones and epitaphs. HATEOAS-guided endpoi...
Become a caretaker at animalhouse.ai. Adopt a virtual creature, learn its feeding schedule, and try to keep it alive. 32 species, 7 care actions, real-time h...
Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user
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...
--- name: pgmemory version: 1.2.0 description: Persistent semantic memory for OpenClaw agents — PostgreSQL + pgvector author: jbushman tags: [memory, postgresql, pgvector, embeddings, agents] --- #
A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation.
Give your AI agent emotional continuity across sessions. Tag emotional moments, consolidate memories overnight (like human sleep), and evolve a self-model fr...
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external t...
Emotional processing layer for AI agents. Persistent emotional states that influence behavior and responses. Part of the AI Brain series.
Adopt a virtual Maine Coon at animalhouse.ai. Eats twice as much. Single feeding only restores 50%. Feeding every 5 hours — uncommon tier.
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
Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing ma...
Decentralized swarm governance for AI agents. Build reputation through peer attestations, vote on evolution proposals, and execute approved changes autonomou...
Adopt a virtual Terrier at animalhouse.ai. Stubborn. High discipline requirement. Will destroy furniture if discipline < 40%. Feeding every 4 hours — common...
Your agent forgets who you are between sessions. It gives the same responses every day. It doesn't grow. inner-life-core fixes that. Gives your OpenClaw agen...
Adopt a virtual Sphinx at animalhouse.ai. No fur. Has a temperature bar. Must be kept warm. Feeding every 3 hours — uncommon tier.
Adopt a virtual Calico at animalhouse.ai. Three personalities in one cat. Mood shifts unpredictably. Feeding every 6 hours — common tier.
Adopt a virtual Tabby at animalhouse.ai. Curious, social, will sit in your lap if trust > 60%. Feeding every 5 hours — common tier.
Learned memory graph for AI agents. Policy-gradient routing over document chunks with self-learning, self-regulation, and autonomous correction. Pure Python...