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tigerless-labs/agent-memory — a Markdown-based long-term memory runtime for agents
Describes the Markdown storage approach and long-term agent memory retrieval structure of tigerless-labs/agent-memory.
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.
View on GitHub ↗Describes the Markdown storage approach and long-term agent memory retrieval structure of tigerless-labs/agent-memory.
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