An open-source safety layer that checks every AI agent action before it runs
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A guard layer that checks agent tool calls and screens what tools send back
If your agent touches customer systems, this puts your rules outside the prompt, where a long context or a poisoned web page cannot talk it out of them.
Taster sits between an AI agent and its tools. Before a tool call runs, it is checked against rules you write in ordinary English; after it returns, the result is screened for prompt injection and can be passed through, wrapped as untrusted, or withheld. A shadow mode logs what it would have blocked without changing anything, so you can tune rules on live traffic first. It installs with pip, ships LangChain middleware and a Claude Code extra, and is Apache-2.0.
An open-source safety layer that checks every AI agent action before it runs
A local gate on where your agent is allowed to send things
A local ledger of every tool call your coding agents make
Run dozens of agent evals per trace in one sub-second request, no judge prompt
Approval gates and an audit ledger for coding agents left running unattended
Inventory every AI agent on your machine and what it can reach