by konoeph · Agent Tool · ★ 52
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AgentClaimGuard Install from PyPI: AgentClaimGuard is a lightweight claim-level evidence and policy gate for LLM agent claims. It checks whether structured claims are allowed under user-defined evidence, tool-result, and policy contracts. AgentClaimGuard does not decide whether a claim is true by itself. It verifies whether a claim is allowed to be returned under a user-defined evidence and tool policy. It is not a full factuality verifier, hallucination detector, semantic entailment engine, or mature production guardrail framework. AgentClaimGuard is released under Apache-2.0 to support open-source, research, and commercial integration across LLM agent applications. No evidence, no claim. No tool result, no numeric conclusion. No source, no compliance judgment. Why AgentClaimGuard? LLM applications can produce fluent, structured, and confident answers even when the key claims are unsupported. RAG gives context, but does not guarantee the answer is grounded. Tool calling gives results, but does not guarantee the model uses them. Structured out
| Stars | 52 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.1386345090729/100 |
| Last Updated | 2026-06-17 |
| Created | 2026-05-27 |
| Platforms | python |
| Est. Tokens | ~16k |
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AgentClaimGuard is Evidence gate for LLM agent claims - verify claims against evidence, tool results, and policies.. It is categorized as a Agent Tool with 52 GitHub stars.
AgentClaimGuard is primarily written in Python.
You can find installation instructions and usage details in the AgentClaimGuard GitHub repository at github.com/konoeph/AgentClaimGuard. The project has 52 stars and 5 forks, indicating an active community.
AgentClaimGuard is released under the Apache-2.0 license, making it free to use and modify according to the license terms.