Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly observability and monitoring, privacy-sensitive setups — source available on GitHub.
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Catalogue record
github.com
claudectl
[claudectl] - Auto-pilot for Claude Code with a local LLM brain (ollama/llama.cpp/vLLM) that learns to auto-approve/deny tool calls. Multi-s...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 25, 2026Repo activity Oct 23, 2026
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Useful context before you commit.
[claudectl] - Auto-pilot for Claude Code with a local LLM brain (ollama/llama.cpp/vLLM) that learns to auto-approve/deny tool calls. Multi-session orchestration, health monitoring, spend control.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly observability and monitoring, privacy-sensitive setups — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
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GitHub / mercurialsolo/claudectl
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- Listed in active catalogue
- Freshness
- Catalogue updated Oct 27, 2026
- Source
- GitHub-backed record
- Repository context
- GitHub activity reported Oct 23, 2026203 stars
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