sbhooley/ainativelang
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)
ORIGINAL REPOSITORY
sbhooley/ainativelang ↗GitHub activity
- Stars
- 639
- Forks
- 21
- Open issues and PRs
- 13
- Repository size
- ~1,537,479 KB
- Default branch
- main
- Created
- Mar 10, 2026
- Repository updated
- Oct 22, 2026
- Last push
- Sep 3, 2026
- Language
- Python
- License
- Apache-2.0
Topics agent-orchestration · ai-agents · ai-native-language · ainl · claude-code · compiler · deterministic-execution · domain-specific-language · dsl · graph-ir · langchain-alternative · llm-orchestration
Repository-wide figures from GitHub, checked Nov 3, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Original repository
- sbhooley/ainativelang
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- sbhooley
- Upstream last modified
- Oct 22, 2026
- Official website
- https://github.com/sbhooley/ainativelang
- Languages
- Python
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 3, 2026
- License
- Apache-2.0
- Last record update
- Nov 3, 2026