A tiered-memory system design for workloads that don't fit in RAM: measure the working set, pin the hot tier, stream the cold tier from flash. Ships the residency calculator, measurement harnesses, and the build recipes behind it. Predictions validated against public benchmarks.
SIA — the Omarchy Brain: a persistent, associative, self-consolidating memory for your Linux desktop. Local embeddings, typed knowledge graph, deterministic cognitive core, outcome learning with an audited judge, mission-control cockpit, MCP for every agent.
Autonomous Penetration Testing Agent Framework with External State Memory & Anti-False-Falsification Guardrails.
Typed long-term memory for AI agents. One core, an MCP server, and a Hermes plugin.
TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients.
Learning how to cook AGI from models, data, memory, search, feedback, and evaluation.
Reproducible benchmark and reference pipeline for reranked long-term memory retrieval
The same HTTP API in 10 languages at 3 sizes, 30 implementations. Token cost for LLM agents, plus cold start, latency, throughput, CPU and memory. All measured, all verified over live HTTP.
WorldGuide: Goal-Directed Video World Model for Procedural Task Execution.
Vanilla RAG baseline for the Agent Memory Leaderboard
Continual Learning Mechanisms Compose for Long-Horizon Memorization
司南:个性化 AI 任务总控 Skills 系统 /COMPASS: Personal Alignment Skills OS for AI Agents
Distill your knowledge, memories, and decisions into an open-source, inspectable AI Agent Twin.
心潮念(Xinchao·Nian)— 会惦记你的AI心智:心潮动态驱力引擎 + Ombre Brain 记忆库深度融合,一键联合部署。非商业(含OB二改约束)。
Help your agent remember what matters. Keep preferences, carry context across sessions, and bring your memory to the next agent.