Synaptra is an open-source Python package that implements biologically-inspired memory for AI agents. It functions as an MCP (Model Context Protocol) server supporting mechanisms such as memory decay, consolidation, and multiple retrieval strategies. Designed for developers building autonomous agents, it provides a lightweight, installable library that can be self-hosted to give agents more human-like long-term memory capabilities.
Synaptra sits in PulseGate's AI & ML category. It focuses on implementing realistic, biologically-plausible memory systems for AI agents that support forgetting, memory consolidation, and context-aware retrieval. Synaptra is an open-source project aimed at AI developers. The project is open source (MIT). It ships for the command line and API, and it can be self-hosted.
Kaushik Hazra builds and maintains Synaptra, and it first shipped in 2026. Development happens publicly on GitHub with 3 commits in the last 90 days. Key capabilities include Memory Decay, Memory Consolidation, and Multi-strategy Retrieval. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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