What is coding_agent_session_search?

69/100
Trust Score (C)
⚠️ Use Caution

coding_agent_session_search is a coding that Unified TUI and CLI to index and search your local coding agent session history across 11+ providers (Codex, Claude, Gemini, Cursor, Aider, etc.). It has a Nerq Trust Score of 69/100 (C). 487 GitHub stars. Published by Dicklesworthstone. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

69
TRUST SCORE
C
GRADE
487
STARS
0
DOWNLOADS

What coding_agent_session_search Does

coding_agent_session_search is a agent in the coding category. Unified TUI and CLI to index and search your local coding agent session history across 11+ providers (Codex, Claude, Gemini, Cursor, Aider, etc.). It is published by Dicklesworthstone and is open source. With 487 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use coding_agent_session_search

coding_agent_session_search is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorDicklesworthstone
Categorycoding
LicenseMIT
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=dicklesworthstone-coding-agent-session-search

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is coding_agent_session_search used for?
coding_agent_session_search is a coding tool. Unified TUI and CLI to index and search your local coding agent session history across 11+ providers (Codex, Claude, Gemini, Cursor, Aider, etc.).
Is coding_agent_session_search free?
License: MIT. coding_agent_session_search has 487 GitHub stars.
Is coding_agent_session_search safe?
coding_agent_session_search has a Nerq Trust Score of 69/100 (C). Use with caution.
What are alternatives to coding_agent_session_search?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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