Remagraph is a lightweight MCP (Model Context Protocol) server that records the trail left by AI coding agents during tasks. It automatically captures task handoffs, status updates, and discovered constraints, making this information queryable by subsequent agents. Designed for developers building multi-agent coding workflows, it improves continuity and reduces redundant exploration across agent sessions.
remagraph is a LLM eval & observability project. AI coding agents lose context between sessions because they cannot effectively pass along discovered constraints, handoffs, and status updates to follow-on agents. remagraph is an open-source project aimed at developers. remagraph is open source under the Apache-2.0 license. remagraph is available on the command line, and it can be self-hosted.
Behind remagraph is remagraph Maintainers, and it first shipped in 2026. Among its 5 catalogued features are Agent Trail Capture, Task Handoff Tracking, and Status Update Logging. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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