Neuroscience-inspired memory framework for AI agents
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Updated
Jul 2, 2026 - Python
Neuroscience-inspired memory framework for AI agents
Agent Memory Playground: AI Agent Memory Design & Optimization Techniques
Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
Implementation based on the paper "ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory"
Pull-model episodic memory plugin for Hermes Agent. Real deletes, audit trace, BYO Claude. MIT.
Aurora is a first-principles adaptive memory runtime organized around one evolving trace field.
A toy local memory system for multi-agent workflows
A dual-layer memory system for AI agents with incremental clustering, graph-based retrieval, and conflict resolution.
A production-grade memory system for AI agents that enables accurate recall across 1,000+ conversation turns.
A minimalist, cross-platform personal AI automation toolkit for research, learning, and lead generation. Built for Termux + WSL2 + Windows with Gemini CLI, AgentMemory, Apify, yt-dlp, and gcloud.
🛠️ Experiment with AI agents in a local sandbox to run, score, and compare outputs without the need for complex frameworks.
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