stash MCP Server
Fergana-Labs/stash
[](https://agentrank-ai.com/tool/Fergana-Labs--stash/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Fergana-Labs/stash is a Python tool licensed under MIT. Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills. Topics: agent-collaboration, ai, claude-code, cli, context-engineering, continual-learning, knowledge-base, memory, multi-agent, personal-knowledge-base, personal-knowledge-management, semantic-search, wiki, workspace, codex, coding-agent, mcp, skills, artifacts.
Ranked #5837 out of 24846 indexed tools.
Has 11 contributors.
Ecosystem
Score Breakdown
337 stars → growing community
Last commit 29d ago → recently updated
2/25 issues closed → many open issues
11 contributors → active community
No dependents → no downstream usage
58 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Badge all embed codes →
[](https://agentrank-ai.com/tool/Fergana-Labs--stash/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/Fergana-Labs--stash/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/Fergana-Labs--stash" alt="AgentRank"></a> Matched Queries
From the README
<p align="center">
<a href="https://joinstash.ai"></a>
</p>
<h3 align="center">Help your agents learn from experience.</h3>
<p align="center">
Agents generate valuable experience every time they work: successful approaches, <br>
failed attempts, and human corrections. Stash captures that history and makes <br>
its lessons available to future runs.
</p>
<p align="center">
<a href="https://github.com/Fergana-Labs/stash/actions/workflows/test.yml"></a>
<a href="LICENSE"></a>
<a href="https://joinstash.ai"></a>
<a href="https://discord.gg/PVFdcQx2u3"></a>
</p>
This repository provides the open-source foundation: trace collection, persistent
knowledge, and reusable skills, accessible through a [Python SDK](sdk/README.md),
REST API, MCP, and CLI. It works alongside your existing agents and models.
```mermaid
flowchart LR
A[Agent runs and human corrections] --> B[Capture sessions via hooks or API]
B --> C[Curate durable knowledge]
C --> D[Retrieve knowledge or Read full README on GitHub → Get the weekly AgentRank digest
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