temporal reasoning sleuth
by loreto
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
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THE AGENSI STORE
33 skills found
by loreto
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
by loreto
Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.
by loreto
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
by Sir Benjamin
Automated context management and cross-session memory organization for long-term AI-human collaboration.
by Sir Benjamin
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
by Roy Yuen
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
by Sir Benjamin
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
by Rapa Canola
Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.
by Shandra
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
by LB Creations
Audit AI agent memory files for privacy risk and bloat.
by LB Creations
Maintain durable, lean, and consistent AI agent memory across sessions while preventing context bloat and data leaks.
by Ryan lyell
The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
by servrox
Audit, prune, and secure your AI agent's long-term memory to prevent pollution and data leakage.
by Samoxis
Your headless Ollama box crashes at 3am and you find out hours later. OllamaWatch pings your Telegram the instant a model dies, the GPU runs out of memory, or the API hangs — with a fix hint in every alert. One Python file, no SaaS, no dashboards.
by Nex AI
Deploy a structured, long-term memory palace for AI agents on Raspberry Pi via MCP and ChromaDB.
Build stateful AI agents with persistent memory, SQLite, and cron scheduling on Cloudflare's global edge network.
by Ryan lyell
A cognitive reasoning protocol and Markdown-based local memory system for high-stakes AI development and strategy.
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
by Shippers
Developers waste time re-explaining their project to AI agents every session.
by Shandra
Tests AI agents, prompts, and agent skills against edge cases, unsafe behavior, output failures, permission risks, escalation gaps, memory leaks, and marketplace-quality weaknesses.
by Shandra
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.