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Logs OpenCode agent sessions into a safe sandboxed markdown folder.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-agent-session-summaries" yet — see the docs or source repo.
Please turn this error investigation into a session note and save it to the sandboxed Markdown folder.
A well-structured Markdown session note is created.
Please write the implementation idea, steps, and outcome as a session summary.
A reviewable development process document is produced.
Please archive this AI collaboration as a Markdown record in the safe sandbox directory.
A traceable session archive file is saved.
Developers can record reasoning, steps, and results during debugging for later review. It is suitable for lightweight archiving inside an OpenCode coding workflow.
When AI helps break down a solution or implement a feature, key decisions can be captured as Markdown session notes. This preserves knowledge from a single conversation.
If users want logging without touching real project files, this tool writes to a sandboxed Markdown folder. It fits scenarios that need isolation and traceability.
It lets an OpenCode coding agent document sessions in a safe, sandboxed Markdown folder. Its main purpose is session logging and organization.
The description only says it writes to a safe sandboxed Markdown folder; no specific path or configuration details are provided.
The provided info only indicates it is meant for use with the OpenCode coding agent; no other prerequisites are given.
Manage concurrent OpenCode coding sessions across multiple repositories.
Persistent memory for coding agents across sessions
Search, resume, and convert AI coding sessions through MCP.
Forward MCP tools to coding agents for session-based development tasks.
Give AI coding agents automatic access to AGENTS.md for codebase conventions.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.