agent-trust-plane
PulseGate's liveness check found it on 22 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 22 Sep 2026. How this is checked
agent-trust-plane is an MIT-licensed Python package for enforcing authorization boundaries around AI agent tool calls. It evaluates tool-call arguments against delegated authority, creates single-use grants, supports replay, and turns denied calls into CI regression tests.
Inferred · not functionally tested
Overview
6 featuresPurpose: Preventing unauthorized AI agent tool calls and detecting security regressions in delegated permissions.
Inferred · not functionally tested
Audience: AI security engineers and developers building MCP-enabled agents
Inferred · not functionally tested
Functions: agents, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · 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.
agent-trust-plane is an AI & LLM security project. Inferred · not functionally tested: It focuses on preventing unauthorized AI agent tool calls and detecting security regressions in delegated permissions. Inferred · not functionally tested: It is built as an open-source project for AI security engineers and developers building MCP-enabled agents. Basis unknown · not verified: agent-trust-plane is open source under the MIT license. Basis unknown · not verified: agent-trust-plane is available on the command line and API, and it can be self-hosted.
It is developed by TimelessVisions, and it first shipped in 2026. The project is developed in the open on GitHub with 35 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are argument authorization, delegated authority, and single-use grants. Inferred · not functionally tested: Catalogued interfaces include an MCP server. agent-trust-plane is currently in beta.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Argument authorization
- Delegated authority
- Single-use grants
- Decision replay
- Denial pinning
- CI regression tests
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- commit 0d0d14d1f071 · since Sep 2026
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed22 Sep · 16:24 UTCagent-trust-plane seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about agent-trust-plane
- What is agent-trust-plane?
- Inferred · not functionally tested: Agent-trust-plane focuses on preventing unauthorized AI agent tool calls and detecting security regressions in delegated permissions. It is catalogued under AI & LLM security on PulseGate.
- Who is agent-trust-plane for?
- Inferred · not functionally tested: agent-trust-plane is an open-source project built for AI security engineers and developers building MCP-enabled agents.
- Does agent-trust-plane have a free plan?
- Basis unknown · not verified: Yes — agent-trust-plane is open source under the MIT license and free to use.
- What platforms does agent-trust-plane run on?
- Basis unknown · not verified: agent-trust-plane runs on the command line and API. It can also be self-hosted.
- Is agent-trust-plane still maintained?
- PulseGate's liveness check found it on 22 Sep 2026. Its GitHub repository shows 35 commits in the last 90 days.
- What projects are similar to agent-trust-plane?
- Similar projects tracked by PulseGate include agentplane, agent-assurance, and agentidem.agentplaneagent-assuranceagentidem
- Who makes agent-trust-plane?
- agent-trust-plane is developed by TimelessVisions.
- How long has agent-trust-plane been around?
- agent-trust-plane first shipped in 2026.
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