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runtape

PyPIInfrastructure

PulseGate's liveness check found it on 29 Sep 2026; it is registered on PyPI and has been in the index since 29 Sep 2026. How this is checked

runtape is an open-source Python package for recording AI agent runs locally and tracing the context behind agent decisions. It targets developers working with LLM applications, including LangGraph, Anthropic, OpenAI, Ollama, and MCP-based systems.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Debugging AI agent decisions by tracing runs and identifying the context that influenced them.

Inferred · not functionally tested

Audience: AI agent developers and LLM application engineers

Inferred · not functionally tested

Functions: monitoring, agents

Inferred · not functionally tested

Interfaces: API: unknown · 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

Constraint provenance is unknown; confirm requirements with the publisher.

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

In the LLM & agent tracing space, runtape takes a focused approach. Inferred · not functionally tested: It focuses on debugging AI agent decisions by tracing runs and identifying the context that influenced them. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and LLM application engineers. Basis unknown · not verified: runtape is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

runtape first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are local run recording, context attribution, and agent tracing. Basis unknown · not verified: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • Local run recording
  • Context attribution
  • Agent tracing
  • Decision debugging
  • Prompt-injection analysis
  • MCP support

Topics: Inferred · not functionally tested

Tags
agent-tracingcontext-attributionprompt-debugginglocal-observability
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
multiple
Connectors
MCP
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed3 Oct · 02:10 UTC
    runtape seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed29 Sep · 21:33 UTC
    runtape seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about runtape

What is runtape?
Inferred · not functionally tested: Runtape focuses on debugging AI agent decisions by tracing runs and identifying the context that influenced them. It is catalogued under LLM & agent tracing on PulseGate.
Who should use runtape?
Inferred · not functionally tested: runtape is an open-source project built for AI agent developers and LLM application engineers.
Does runtape have a free plan?
Basis unknown · not verified: Yes — runtape is open source under the MIT license and free to use.
What platforms does runtape run on?
Basis unknown · not verified: runtape runs on the command line. It can also be self-hosted.
Is runtape still active?
PulseGate's liveness check found it on 29 Sep 2026.
What are alternatives to runtape?
Similar projects tracked by PulseGate include ThoughtPath, agentprof, and abhishekash-mcp-trace.ThoughtPathagentprofabhishekash-mcp-trace
When did runtape launch?
runtape first shipped in 2026.
Is runtape open source?
Basis unknown · not verified: Yes — runtape is open source under the MIT license.

Also in LLM & agent tracing

Same category — not a similarity match