a5c-ai/babysitter vs JetBrains/thinkrail
Compare a5c-ai/babysitter and JetBrains/thinkrail using the same repository snapshot.
Related repositories are selected from shared categories, topics and mentions in the same lists. Order follows the export’s relevance signals. These links are independent of sponsorship and do not change the leaderboard.
a5c-ai/babysitter
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
- GitHub stars
- 1,895
- Star growth over 7 days
- +0.4%
- Heat
- 4.5
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- Not available
- Project activity
- Slowing
- License
- MIT
- Supported agents
- Claude Code, Codex, Cursor, Gemini CLI
JetBrains/thinkrail
ThinkRail is the agentic IDE that gets better every time you use it
- GitHub stars
- 7,877
- Star growth over 7 days
- +15.7%
- Heat
- 8.5
- Before you install
- Instructions only
- Median activation tokens (estimate)
- 1,222.5 tokens
- Project activity
- Active
- License
- Apache-2.0
- Supported agents
- Codex
Token cost is the median frontmatter plus SKILL.md estimate per skill. Reference files load on demand and scripts run separately. The estimate is unavailable when skill records or token counts are incomplete. Missing growth or heat history stays unmeasured, never zero.
Automated signals, not a guarantee Methodology
