Long-term episodic memory for OpenClaw agents
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Updated
Apr 19, 2026 - TypeScript
Long-term episodic memory for OpenClaw agents
Memory-centric architecture for scalable, energy-efficient AI agents and long-term cognition.
Living Memory Dynamics - A novel framework for narrative-generating episodic memory with creative leaps. Features the Joshua R. Thomas Memory Equation.
SynapDrive-AI is a simulation-first prototype for safe intent handling in BCI-inspired systems, combining context-aware routing, safety gating, replayable sessions, offline EEG-style analysis, and sequential task planning for controlled action execution.
Paper Accepted at ICLR 2026 (Memagents Workshop)
MCP server for persistent synthetic memory -- attention-weighted recall across sessions using Ktor and Redis
What If Model Memory Is Reorganized Like Human Episodic recall?
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