activity-frames MCP Server
nossa-y/activity-frames
[](https://agentrank-ai.com/tool/nossa-y--activity-frames/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Turn your workday into structured workflows agents can execute. 100% local, served over MCP.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
nossa-y/activity-frames is a Python tool licensed under MIT. Turn your workday into structured workflows agents can execute. 100% local, served over MCP. Topics: agent-memory, ai-agents, context-engineering, llm, mcp, computer-use, episodic-memory.
Ranked #13951 out of 24846 indexed tools.
Ecosystem
Score Breakdown
533 stars → growing community
Last commit 2mo ago → moderate activity
12/39 issues closed → many open issues
8 contributors → small team
No dependents → no downstream usage
23 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/nossa-y--activity-frames/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/nossa-y--activity-frames/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/nossa-y--activity-frames" alt="AgentRank"></a> Matched Queries
From the README
# activity-frames powering Nocta **Turn your workday into structured workflows agents can execute.** Computer-use agents work every task out from scratch, even one you've done a hundred times. And between tasks, your agent has no idea what you've been doing all day, so it starts every conversation blind. activity-frames fixes both. It records your screen locally and compiles what it sees into structured **activity frames**: bounded, deterministic records of the tasks you actually did. The recurring ones become **workflows an agent can execute** instead of working out again. So your repetitive computer tasks get done **cheaper** (running a compiled workflow costs almost no tokens) and **more reliable** (the same steps, grounded the same way every time, instead of guessing from a screenshot) - and everything else becomes context your agent can use. ```bash pip install activity-frames aframes record # start capturing (local, audio off by default) aframes context # your last 2Read full README on GitHub →
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.