AgentDish directory
pypi
Accepted listings with this tag.
| Listing | Category | Score | Trend | Checked | |
|---|---|---|---|---|---|
|
#278
↓ -3
Mindlas
Mindlas is a local-first tool for monitoring Claude Code sessions and catching agent drift before bad code lands. It offers deterministic gauges, live session tracking, correction commands, and install paths for both a plugin and PyPI/CLI use. |
Developer Tools / AI Developer Tooling | 88 | ↓ -3 | 57 days ago | Details |
|
#360
↓ -3
forensic-deepdive
A persistent code knowledge graph and MCP server for AI coding agents. It analyzes codebases, builds a graph of files, symbols, commits, and cross-boundary edges, and exposes MCP tools plus generated markdown artifacts for agent workflows. |
Developer Tools / AI Developer Tooling | 88 | ↓ -3 | 113 days ago | Details |
|
#899
↓ -3
ModelFuzz
Open-source runtime guardrails for AI agents that scans for prompt-injection weaknesses and blocks unsafe tool calls at execution time with a decorator. |
Developer Tools / Code Assistant | 85 | ↓ -3 | 81 days ago | Details |
|
#1029
↓ -6
conduct-litellm-guard
A Python package that adds Conduct Guard as a LiteLLM guardrail to enforce runtime policy on LLM calls. The page explains install, proxy wiring, verdict behavior, session tracking, fail modes, and configuration options. |
Developer Tools / AI Governance | 84 | ↓ -6 | 29 days ago | Details |
|
#1760
↓ -2
UltraCompress
UltraCompress is a Python-based compression tool for large language models. The repo describes lossless 5-bit transformer compression, verification via SHA-256, a CLI on PyPI, and published model packs on Hugging Face. |
Developer Tool / ML / Model Compression | 82 | ↓ -2 | 160 days ago | Details |
|
#2156
→ 0
search2o
Search2o is a Python package for running searchable AI agents inside an organization, with a REST API, bundled GUI, and support for self-hosted or vendor LLMs. |
Developer Tools / AI Agent Framework | 77 | → 0 | 8 days ago | Details |
|
#2326
↓ -1
SQLite Critical CVEs or LLM Slop?
JFrog Security Research investigates a batch of SQLite CVEs and argues many are AI-generated or unsupported by the source code and PoC testing. The post includes a comparison matrix, methodology, and detailed breakdown of several alleged vulnerabilities. |
Research / Security Research | 74 | ↓ -1 | 74 days ago | Details |