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deposition

PyPIInfrastructure

PulseGate's liveness check found it on 2 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 2 Oct 2026. How this is checked

Deposition is an Apache-2.0 Python package that creates verbatim, tamper-evident records of AI agent runs. It supports local replay and is intended for developers who need auditing, tracing, and debugging of agent executions.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hosted
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Overview

5 features

Purpose: Preserving trustworthy, replayable records of AI agent executions for auditing and debugging.

Inferred · not functionally tested

Audience: AI agent developers and platform engineers

Inferred · not functionally tested

Functions: monitoring

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

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

deposition sits in PulseGate's LLM & agent tracing category. Inferred · not functionally tested: It focuses on preserving trustworthy, replayable records of AI agent executions for auditing and debugging. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and platform engineers. Basis unknown · not verified: deposition is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind deposition is Canvas Dev, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include verbatim run records, tamper-evident logs, and local replay.

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

Tasks: Inferred · not functionally tested

  • Verbatim run records
  • Tamper-evident logs
  • Local replay
  • Agent tracing
  • Audit trails

Topics: Inferred · not functionally tested

Tags
agent-auditingrun-replaytamper-evident-logsllm-observability

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceGitHub

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed2 Oct · 06:53 UTC
    deposition seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed2 Oct · 05:33 UTC
    deposition seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about deposition

What does deposition do?
Inferred · not functionally tested: Deposition focuses on preserving trustworthy, replayable records of AI agent executions for auditing and debugging. It is catalogued under LLM & agent tracing on PulseGate.
Who is deposition for?
Inferred · not functionally tested: deposition is an open-source project built for AI agent developers and platform engineers.
Does deposition have a free plan?
Basis unknown · not verified: Yes — deposition is open source under the Apache-2.0 license and free to use.
What platforms does deposition run on?
Basis unknown · not verified: deposition runs on the command line. It can also be self-hosted.
Is deposition still active?
PulseGate's liveness check found it on 2 Oct 2026.
What projects are similar to deposition?
Similar projects tracked by PulseGate include ThoughtPath, agentprof, and abhishekash-mcp-trace.ThoughtPathagentprofabhishekash-mcp-trace
Who develops deposition?
deposition is developed by Canvas Dev.
When did deposition launch?
deposition first shipped in 2026.

Also in LLM & agent tracing

Same category — not a similarity match