Deterministic decision engine with receipts. Define rules in YAML, query a graph, get proof.
Deterministic decision engine with DAG-based receipts. Build entity graphs, query with MCP, get auditable proof. Define entity graphs, queries, and constraints in YAML. Run them locally from CLI or MCP, and get receipts proving exactly why each result was returned. 1. Define a domain in YAML: 2. Load data and run a deterministic query: "Suggest an alternative to simvastatin" 3. Get a receipt —…
Déduit des transports déclarés par cette annonce (stdio). Un client absent de cette liste n’est pas écarté pour autant — c’est simplement quelque chose que Forge ne peut pas confirmer.
La vérification confirme l’identité de l’éditeur (la propriété du dépôt), pas la sûreté du code. L’analyse de sécurité couvre les CVE connues et les scripts d’installation suspects.
Forge n’a aucune analyse enregistrée pour cette entrée et n’a donc aucune observation de sa surface d’outils. C’est une absence de preuve, pas la preuve qu’elle n’expose aucun outil.
Deterministic decision engine with DAG-based receipts. Build entity graphs, query with MCP, get auditable proof. Define entity graphs, queries, and constraints in YAML. Run them locally from CLI or MCP, and get receipts proving exactly why each result was returned. 1. Define a domain in YAML: 2. Load data and run a deterministic query: "Suggest an alternative to simvastatin" 3. Get a receipt — structured proof of every answer: Raw receipt DAG rendered for readability: Or use if you prefer uv.…