#memory-management

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Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

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Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built…

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One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

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Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

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Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

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Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph,…

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Context Engineering: Build Consistent, Accurate, Predictable AI Systems

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给 Codex 全局记忆定期减负的 skill：检测重复、清理过期线程、压缩冗长表达、添加自定义全局规则 / A skill that puts Codex global memory on a periodic diet: dedupe, prune, compress, add global rules

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A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.

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Self-hosted, privacy-first MCP server for long-term AI memory — save, search & summarize Claude/ChatGPT chat history locally. No cloud, no database.

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Convert Hermes / OpenClaw agent memory (JSONL sessions, MEMORY.md) to markdown for gBrain ingest

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Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.