Python · Apache-2.0
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)
★ 639
Stars
21 forks · 13 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
17.9
Momentum / 100
see the breakdown below
8mo ago
Created
last push 2mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 9.8 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 8.1 | 639 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 17.9 | sum of the above |
Detail
| Topics | agent-orchestrationai-agentsai-native-languageainlclaude-codecompilerdeterministic-executiondomain-specific-languagedslgraph-irlangchain-alternativellm-orchestrationmcpmodel-context-protocolmulti-agentopenaiopenclawprompt-engineeringpythonworkflow-engine |
| Matched on | AI Agents (multi-agent) Agent Skills & MCP (model-context-protocol) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +-11 stars over 26 days = -0.4/day |
| Lifetime average | 2.66 stars/day over 240 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |