behavioral-memory is an open-source Python package that provides validated execution traces as memory for MCP-based agent tool orchestration. It is designed for developers building autonomous agents, enabling better retrieval and validation of agent actions within orchestration frameworks.
behavioral-memory sits in PulseGate's Autonomous agents & workflows category. It focuses on enabling agent frameworks to store and validate execution traces as memory for improved orchestration. behavioral-memory is an open-source project aimed at AI agent developers. behavioral-memory is open source under the Apache-2.0 license. It ships for the command line.
It is developed by harsh-kr11, and it first shipped in 2026. The project is developed in the open on GitHub with 30 commits in the last 90 days. Among its 5 catalogued features are execution trace memory, MCP integration, and agent orchestration. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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