#Deterministic-execution
Showing 2 of 2 repositories tagged #deterministic-execution, ranked by stars
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)
Score
0
★ 825
⑂ 40
+1/day
Python
faramesh
faramesh-core
Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment
Score
0
★ 95
⑂ 19
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Go