misc 0 0 0

hharsha/agentic-systems-showcase

published by @hharsha

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
59
Last 30 days
59
Likes
-
Size
19 KB
Created on HF
2026-09-30
Age
21 days ago

Description

Agentic Systems Showcase

Catalog of public projects by Hanumanthu Harsha Vardhan

(GitHub hharsha98, Hub hharsha).

Each row is an honest summary taken from the project's own README, Space card, or studio site.

No invented papers or benchmarks.

Field

Meaning

id

Stable slug

name

Display name

kind

github, space, or website

url

Canonical link

summary

One-paragraph description

stack

Coarse tech/topic tags

owner

GitHub or Hub handle

Rows: 16 (expanded from… See the full description on the dataset page: https://huggingface.co/datasets/hharsha/agentic-systems-showcase.

Tags

language:enlicense:mitsize_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usagentsragllmopsmulti-agentmcpportfolio

README current version from Hugging Face


license: mit
language:

  • en
    tags:
  • agents
  • rag
  • llmops
  • multi-agent
  • mcp
  • portfolio
    pretty_name: Agentic Systems Showcase
    size_categories:
  • n<1K
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/projects.jsonl

Agentic Systems Showcase

Catalog of public projects by Hanumanthu Harsha Vardhan
(GitHub hharsha98, Hub hharsha).

Each row is an honest summary taken from the project's own README, Space card, or studio site.
No invented papers or benchmarks.

Field Meaning
id Stable slug
name Display name
kind github, space, or website
url Canonical link
summary One-paragraph description
stack Coarse tech/topic tags
owner GitHub or Hub handle

Rows: 16 (expanded from an earlier 9-row seed).

Highlights

  • Control Tower — RevenueOps supervisor/worker multi-agent graph with RAG + evals
  • agentgrid / Vibespace — browser/desktop agentic IDEs (terminal grids, kanban)
  • AgentFleet / AgentOps Studio — self-hostable multi-agent ops + IaC scaffolding
  • RetrievalLab (+ Spaces) — hybrid search, rerank, recall@k / MRR
  • CareerAgent — job-hunt agents with cited CV chat
  • Studio site: agentic-systems-studio.com

Related training data for tag generation: hharsha/agentic-github-meta.

Location: Nuremberg, Germany. Cloud scope: AWS and GCP.

README history 3 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-09-30Update hharsha/agentic-systems-showcase9d71d7b1.6 KB
    Loading...
  2. 2026-09-30Showcase records for public studio projectsde3ce261.4 KB
    Loading...
  3. 2026-09-30initial commit30ce63b0 B
    Loading...

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Related datasets same stage · misc

Read further

Metadata

License
mit

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("hharsha/agentic-systems-showcase")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="hharsha/agentic-systems-showcase", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/hharsha/agentic-systems-showcase
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration