| What it does | Infrastructure layer connecting agents to the open-source ecosystem
| Standing AI teams that run whole business functions around the clock
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| NZ
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| Pricing model | Free
| Freemium
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| Pricing | Not given
| Free: 200 turns, 1 running team, up to 5 agents. Pay as you go: US$20 buys 2,000 turns. Starter: US$29/month with 2 running teams, up to 15 agents, 5,800 agent turns monthly. Business: US$99/month with 5 running teams, up to 50 agents, 19,800 agent turns monthly. Company: US$399/month with 20 runnin
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| Key features | - Search code by keywords, API names, or quoted phrases across packages and repositories
- Read versioned source code at specific versions or git refs with symbol selectors
- Compare source changes between package versions or repository refs
- Check package health, adoption, license, downloads, and open advisories
- Inspect direct and transitive dependencies with resolved versions
- Check security vulnerabilities and affected versions for packages
- Generate code examples grounded in open-source projects with cited sources
- Ask research questions about packages with cited sources and read commands
- Browse documentation pages and search by keywords with exact page locations
- Review upgrade impacts including vulnerabilities, changelog, and dependency changes
| - Shadow mode for verification before live operation
- Learns from documents, help centres and past tickets
- Hard spending caps per team and job
- Works with 102+ integrations
- Kill switch to stop any team
- Approval workflows for risky actions
- Team memory and learning across jobs
- MCP server and REST API for AI agents
- Encrypted credential storage per connection
- 26+ ready-made teams for different functions
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| What makes it different | - Version-aware indexing ensures agents get code and documentation matching their exact dependency versions, not latest releases
- Integrated index of code, documentation, packages, and dependency graphs in one interface through MCP, CLI, and API
- Deterministic results with exact file locations, line ranges, and symbol definitions for reliable agent decisions
- Supports open-source repositories not published as packages plus major package registries like npm, PyPI, and crates.io
| - Teams learn from your actual business documents and past work, not generic templates
- Shadow mode proves capability before autonomous operation
- You bring your own model key and pay providers directly, no markup
- Granular security controls: ask-before actions, credentials encryption, kill switches
- Works with AI agents through MCP or REST API
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 52 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 34 | 18 |
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| Referring domains (Majestic) | 247 | 5 |
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GitHits
Jugg.ai