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PrismThinker

PyPIInfrastructure

PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 8 Sep 2026. How this is checked

PrismThinker is an MIT-licensed Python package that evaluates AI agent tool calls before execution using deterministic policy vetoes and guardrails. It supports contradiction preservation, decision graphs, and counterfactual recovery for developers building governed agent workflows.

Inferred · not functionally tested

Open SourceMITCLISelf-hostedAPI
Visit PyPI
1star
7features
2026since

Overview

6 features

Purpose: Preventing unsafe or contradictory AI agent tool calls before execution.

Inferred · not functionally tested

Audience: AI developers building agentic systems

Inferred · not functionally tested

Functions: agents

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

PrismThinker is an AI security & guardrails project. Inferred · not functionally tested: It focuses on preventing unsafe or contradictory AI agent tool calls before execution. Inferred · not functionally tested: It is built as an open-source project for AI developers building agentic systems. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

It is developed by insightitsGit, and it first shipped in 2026. The project is developed in the open on GitHub with 15 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are pre-execution firewall, policy vetoes, and tool-call guardrails.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Pre-execution firewall
  • Policy vetoes
  • Tool-call guardrails
  • Contradiction preservation
  • Counterfactual recovery
  • Decision graphs

Topics: Inferred · not functionally tested

Tags
agent-firewalltool-call-governancedeterministic-guardrailscounterfactual-recovery
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
Written with
Cursor
Runs on
CLISelf-hostedAPI-only
Written with — evidence
Cursor
commit 43c6f544fac6 · since Sep 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed8 Sep · 23:55 UTC
    prismthinker seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about PrismThinker

What is PrismThinker?
Inferred · not functionally tested: PrismThinker focuses on preventing unsafe or contradictory AI agent tool calls before execution. It is catalogued under AI security & guardrails on PulseGate.
Who is PrismThinker for?
Inferred · not functionally tested: PrismThinker is an open-source project built for AI developers building agentic systems.
Is PrismThinker free?
Basis unknown · not verified: Yes — PrismThinker is open source under the MIT license and free to use.
What platforms does PrismThinker run on?
Basis unknown · not verified: PrismThinker runs on the command line and API. It can also be self-hosted.
Is PrismThinker still maintained?
PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 15 commits in the last 90 days.
Who develops PrismThinker?
PrismThinker is developed by insightitsGit.
How long has PrismThinker been around?
PrismThinker first shipped in 2026.
Is PrismThinker open source?
Basis unknown · not verified: Yes — PrismThinker is open source under the MIT license, developed on GitHub.

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