overmind MCP Server
overmind-core/overmind
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The platform for continuously improving AI agents.
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overmind-core/overmind is a Python tool licensed under AGPL-3.0. The platform for continuously improving AI agents. Topics: ai-agents, evals, fine-tuning, llm, llm-evaluation, llmops, lora, mcp, observability, python.
Ranked #3198 out of 24846 indexed tools.
Ecosystem
ai-agentsevalsfine-tuningllmllm-evaluationllmopsloramcpobservabilitypython
Score Breakdown
Stars 15% 650
650 stars → growing community
Freshness 25% 29d ago
Last commit 29d ago → recently updated
Issue Health 25% 47%
9/19 issues closed → many open issues
Contributors 10% 8
8 contributors → small team
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads 13% 567/wk
567 weekly installs → early adoption
Forks 62
Description Good
License AGPL-3.0
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Issue Health high impact
Dependents medium impact
Matched Queries
From the README
# The Training Platform for Specialized Agents <p align="center"> <a href="https://console.overmindlab.ai/">Console</a> | <a href="https://www.overmindlab.ai/">Site</a> | <a href="#run-it-yourself">Self-host</a> </p> <p align="center"> <a href="https://docs.overmindlab.ai"></a> <a href="https://discord.gg/TPF722ZKuj"></a> <a href="https://pypi.org/project/overmind/"></a> <a href="https://github.com/overmind-core/overmind/actions/workflows/ci.yml"></a> <a href="LICENSE"></a> <a href="overmind/LICENSE"></a> </p> **Overmind continuously trains & improves your agents, with data from your production traces** Point it at your agent's codebase and it turns production traces (or any dataset) into a fine-tuned model, benchmarked against the eval metrics you define and served via 1 unified API, with no ML infrastructure to build. > The weights are yours to download, retrain or roll back. Available from the [Console](https://console.overmindlab.ai/), the `overmind` CLI, the [RERead full README on GitHub →
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