{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/20"}],"enrichment":{"capability":"Stash is a CLI and MCP server that creates a persistent, agent-accessible knowledge base by ingesting sessions, files, and data from GitHub, Drive, Gmail, Notion, Slack, Linear, Jira, Asana, Granola, and other sources, then exposes them to coding agents via search, virtual filesystem, and REST API.","skillfed_tags":["agent-memory","coding-agents","knowledge-management"],"use_cases":["Avoid re-solving the same bug: ask your agent if it has tackled a memory leak or similar issue before and retrieve the transcript of what was attempted.","Track work across agents and machines: maintain a persistent log of what every coding agent has done, not just sessions on the current machine.","Build living documentation: let agents write and update ADRs, design notes, and runbooks as they work, keeping them current without manual sync.","Recover lost context: search for why a decision was made (e.g., why a timeout was set to 30s) without relying on git history or scattered notes.","Share knowledge between teammates: publish a Skill (a folder with pages and tables) so other agents and team members can fork or follow it."],"what_it_does":"Stash is a knowledge-base platform designed to give coding agents persistent, cross-session memory. It ingests agent session transcripts, files, and data from a wide range of sources\u2014GitHub repos, Google Drive, Gmail, Slack, Notion, Linear, Jira, Asana, Granola, and others\u2014and stores them in a searchable, agent-native format. Agents can query this knowledge base via a CLI, MCP server, REST API, or virtual filesystem shell, so every agent run has context about every previous session you've created.\n\nThe package provides a CLI (`stashai`) that handles authentication, session recording, source integration, and agent setup. It also runs an MCP server with approximately 70 read/write tools, allowing agents to search, read, and write to the knowledge base in real time. A built-in curator can automatically compile new sessions and files into linked wiki pages, and a Skills system lets you package and share reusable knowledge folders. The tool is designed for teams running long-lived or autonomous coding agents, where duplicating work across sessions is costly and context loss is a real problem.","worth_installing":"Yes, if you run coding agents regularly and want to avoid duplicating work across sessions. Stash is actively maintained, has low install friction, and solves a real problem\u2014agents can only access transcripts from their current machine by default. MIT license is permissive. Beta status means the API may shift, but the core functionality (session recording, multi-source search, MCP integration) is documented and in use. Start with `stash signin` to see if the setup and agent detection work for your toolchain."},"id":"stashai","links":{"html":"https://skillfed.io/packages/stashai","md":"https://skillfed.io/packages/stashai.md","pypi":"https://pypi.org/project/stashai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"stashai","python_support":"supports_current","summary":"CLI for Stash \u2014 shared memory for AI coding agents"},"popularity":{"monthly_downloads":98069,"position":13110,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.364"}