Post · Context & memory

Jev-Mem

A paper on System-One-controlled agentic memory.

Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and used, placing expensive generation on the critical path of memory operations. We introduce method, a new agentic memory architecture inspired by System-One/System-Two cognition. System One captures fast, lightweight decision-making, whereas System Two performs slower, deliberative reasoning. Jev-Mem brings this division of labor to agentic memory through a dedicated System-One control plane, a structured multi-relational memory plane, and a System-Two reasoning plane. The System-One controller governs memory typing and relational organization during construction, and dynamically performs query routing, retrieval-budget allocation, graph traversal, candidate scoring, and adaptive stopping during retrieval. System Two is invoked only for complex reasoning and answer synthesis. This design improves both memory effectiv — **Artificial Intelligence Papers** @SciFi

The decision Jev makes

Keep or discard a tool result, or answer whether a stopping condition is met.

Where it fits

Agents drown in their own context. These projects use Jev to decide what to keep, what to drop and when a loop is actually finished. All 117 context & memory projects →

Related projects

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Context & memorypi-context-decisionsPi extension that uses decision models (TypeSafe Jev, OpenRouter decision models, OpenAI Luna) to filter which skill advertisements enter context for…GitHub · championswimmer

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Context & memoryJev Gate (royalskynet)MCP server and Claude Code/Codex plugin that uses Jev to keep only the parts of logs and tool output that matter, shorten long conversations, and…GitHub · royalskynet

Context & memoryOpenVikingVolcengine's agent context database that unifies memory, knowledge RAG and skills under a viking:// virtual filesystem; it ships a Jev rerank client…GitHub · ★ 40k

Context & memoryMinutesAn MIT-licensed, local-first conversation memory app that transcribes meetings, calls and voice memos on-device into Markdown you own.GitHub · ★ 1.5k