pipeshub-ai
Reduces hallucination and context drift in agent deployments by grounding AI responses in verified company knowledge, while maintaining access controls and a…
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 40+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
- Ask Claude to search your company's Slack history and Jira tickets to summarize project status.
- Generate documentation by having Claude cite relevant GitHub repos and Google Drive files automatically.
- Automate incident response by letting Claude grep logs and reference permission-aware knowledge base.
Reduces hallucination and context drift in agent deployments by grounding AI responses in verified company knowledge, while maintaining access controls and audit trails across fragmented data sources.
Engineering teams deploying AI agents needing reliable fact-grounding and compliance-safe knowledge retrieval across Slack, Jira, GitHub, and enterprise platforms.
https://github.com/pipeshub-ai/pipeshub-ai
By pipeshub-ai
How to Get It
claude plugins install pipeshub-ai/pipeshub-ai
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Search my company's Slack history and Jira tickets to summarize project status
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 3,829 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 3,829 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.