agentome
agentome is an open-source Python package that provides a coordinate index layer for managing agent context, leveraging Helix Context. It is designed for developers building AI agents that require efficient context compression, retrieval, and integration with Model Context Protocol (MCP).
Overview
5 featuresagentome is a Memory & skills project. It focuses on coordinating and indexing context for AI agents to improve memory and retrieval efficiency. agentome is an open-source project aimed at AI agent developers. agentome is open source under the Apache-2.0 license. agentome is available on the command line.
It is developed by SwiftWing21, and it first shipped in 2026. Development happens publicly on GitHub with 10 commits in the last 90 days. Key capabilities include context indexing, coordinate mapping, and agent context management. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
- Context indexing
- Coordinate mapping
- Agent context management
- Compression support
- MCP integration
Built with & integrations
Trust & compliance
Indexing history
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Frequently asked questions about agentome
- What is agentome?
- Agentome focuses on coordinating and indexing context for AI agents to improve memory and retrieval efficiency. It is catalogued under Memory & skills on PulseGate.
- Who should use agentome?
- agentome is an open-source project built for AI agent developers.
- Does agentome have a free plan?
- Yes — agentome is open source under the Apache-2.0 license and free to use.
- What platforms does agentome run on?
- agentome runs on the command line.
- Is agentome still maintained?
- The GitHub repository shows 10 commits in the last 90 days.
- Who develops agentome?
- agentome is developed by SwiftWing21.
- When did agentome launch?
- agentome first shipped in 2026.
- Is agentome open source?
- Yes — agentome is open source under the Apache-2.0 license, developed on GitHub.
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