Developer Builds Custom Memory System to Give AI Agents Persistent Identity Across Sessions

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A developer has announced a working multi-agent system designed to preserve memory, personality, and continuity in AI agents across separate sessions. By default, AI agents lose context between sessions, effectively restarting as a blank slate each time a new conversation opens. The custom-built continuity harness, constructed within Anthropic's platform using its existing extension points, loads a series of local files before each session begins to reconstruct the agent's identity and history. All memory data is stored locally on the user's own machine with no file-size caps, and is made available to agents at minimal token cost. The developer, who is not affiliated with any AI company, reports months of measurements showing the system performing better than anticipated, with a full technical paper to follow.

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