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atif-sql

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 11 Oct 2026. How this is checked

atif-sql is an open-source developer tool for converting, materializing, and querying Claude Code agent trajectories. It uses DuckDB to provide local analytics over ATIF-formatted agent session data for developers and researchers.

Inferred · not functionally tested

Open SourceApache-2.0CLIAPISelf-hosted
Visit PyPI
4stars
6features
2026since

Overview

6 features

Purpose: Analyzing and querying Claude Code agent session trajectories without building custom data pipelines.

Inferred · not functionally tested

Audience: AI agent developers and researchers

Inferred · not functionally tested

Functions: analytics, data_extraction

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: Apache-2.0 · platforms: CLI · deployment: cli, api_only, 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.

In the Databases (SQL, NoSQL, vector, graph) space, atif-sql takes a focused approach. Inferred · not functionally tested: It focuses on analyzing and querying Claude Code agent session trajectories without building custom data pipelines. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and researchers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for the command line and API, and it can be self-hosted.

Behind atif-sql is Laith Alsaadoon, and it first shipped in 2026. Development happens publicly on GitHub with 89 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are trajectory conversion, data materialization, and duckDB queries.

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

Tasks: Inferred · not functionally tested

  • Trajectory conversion
  • Data materialization
  • DuckDB queries
  • Agent session analytics
  • ATIF support
  • Local data processing

Topics: Inferred · not functionally tested

Tags
agent-trajectoriesduckdb-analyticsclaude-codeatifsession-querying
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropic
Written with
Claude Code
Connectors
github
Runs on
CLIAPI-onlySelf-hosted
Written with — evidence
Claude Code
commit 6467a14dd453 · since Oct 2026

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 4Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed11 Oct · 02:14 UTC
    atif-sql seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about atif-sql

What is atif-sql?
Inferred · not functionally tested: Atif-sql focuses on analyzing and querying Claude Code agent session trajectories without building custom data pipelines. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
Who should use atif-sql?
Inferred · not functionally tested: atif-sql is an open-source project built for AI agent developers and researchers.
Is atif-sql free?
Basis unknown · not verified: Yes — atif-sql is open source under the Apache-2.0 license and free to use.
What platforms does atif-sql run on?
Basis unknown · not verified: atif-sql runs on the command line and API. It can also be self-hosted.
Is atif-sql still active?
The GitHub repository shows 89 commits in the last 90 days.
What projects are similar to atif-sql?
Similar projects tracked by PulseGate include Database Foundry, SchemaSmith, and vecshift.Database FoundrySchemaSmithvecshift
Who makes atif-sql?
atif-sql is developed by Laith Alsaadoon.
When did atif-sql launch?
atif-sql first shipped in 2026.

Also in Databases (SQL, NoSQL, vector, graph)

Same category — not a similarity match