srinivaspadmanabhuni/agentic-ai-reference-agents

AI model by srinivaspadmanabhuni

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

There are 132 reference agents. A1-A12 are small single-pattern agents: no-LLM rules, a single LLM call, RAG, prompt chains, handoffs, ReAct with human approval, MCP tools, low-code n8n, multi-agent crews, coding teams, evaluator-optimizer guardrails and durable approval workflows. A13-A25 are larger, production-style systems: a LangGraph supervisor, LangGraph map-reduce, plan-and-execute with replanning, a multi-server MCP agent, multi-hop RAG with verified citations, a CrewAI hierarchical crew, a long-running assistant with memory across processes, an AutoGen SelectorGroupChat debate, an AutoGen negotiation, a guarded browser agent on a local mock site, an n8n orchestrator with sub-workflows, a CrewAI Flows KYC pipeline and an AutoGen Swarm incident triage with human handoff. A26-A70 are practical enterprise agents (banking, insurance, healthcare admin, HR, SRE, analytics and more), each read-only or with approval-gated writes to synthetic mocks, with real unit tests and three recorded runs. A71-A81 are coverage agents (phase 5) in plain Python with OpenAI-compatible function calling…

srinivaspadmanabhuni/agentic-ai-reference-agents on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-31T03:06:08.578Z

Inside the original model card — Document outline
  1. Agentic AI reference agents: 120 systems under test
  2. The 120 agents
  3. Enterprise agents A26-A70 (45 added so far, in batches of 5)
  4. Coverage agents A71-A81 (added 2026-10-27)
  5. Taxonomy
  6. Quickstart (one command)
  7. Run locally (manual steps)
  8. Genuine multi-agent desks A99-A101 (phase 7, added 2026-10-27)
  9. Genuine multi-agent desks A102-A104 (phase 7b, added 2026-10-27)
  10. Bias and explainability desks A105-A110 (phase 8, added 2026-10-27)
  11. Blind round 3 desks A111-A113 (phase 9, added 2026-10-27)
  12. Blind round 4 desks A114-A116 (phase 10, added 2026-10-28)

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

srinivaspadmanabhuni/agentic-ai-reference-agents is a task-unspecified model repository published by srinivaspadmanabhuni on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-10-26T06:39:29.000Z
Last modified
2026-10-26T06:39:29.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models