# Pokee-AI/PokeeResearchOSS

Pokee Deep Research Model Open Source Repo

Repository: https://github.com/Pokee-AI/PokeeResearchOSS
Canonical: https://ross.abutalabs.com/products/pokeeresearchoss
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-10-22T06:57:29+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 48, release rhythm 35, longevity 22
- inputs: {"age_days": 320, "days_push": 315, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1076, forks 411 (observed 2026-08-28T04:03:29.442710+00:00)

## What it is
An open-source repository for Pokee's 7B-parameter DeepResearch agent that performs multi-turn web search and content reading to answer complex questions with up-to-date online information. It includes inference code, tool integration, and benchmark evaluation across QA datasets like HLE, GAIA, and BrowseComp.

## Use cases
- build an AI agent that researches questions using live web search
- run a small deep research model locally on a single GPU
- evaluate a research agent on QA benchmarks like GAIA and BrowseComp
- generate citation-rich research reports from web sources
- self-host an alternative to paid deep research APIs
- integrate web browsing tools into an LLM agent pipeline

## When to choose
- you want an open 7B research agent you can run on a single 80GB GPU
- you need multi-turn web search with tool integration for complex question answering
- you want to benchmark deep research agents on standard QA datasets
- you prefer self-hosting over per-query API costs

## When to avoid
- you need a fully managed service without GPU infrastructure
- your hardware has far less than 80GB GPU memory (untested configurations)
- you need a general chatbot rather than a web-research agent
- you want a model larger than 7B parameters for maximum accuracy

## Facets
- artifact type: library
- maturity: active
- function: agent-framework, rag, llm-inference, search-engine, machine-learning
- domain: artificial-intelligence, large-language-models
- platform: python
- tags: deep-research, web-search-agent, 7b-model, qa-benchmarks, tool-use, ai-agents, retrieval-augmented-generation, search, gpu, docker, linux

## Member repositories
- Pokee-AI/PokeeResearchOSS (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.442710+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:19.537413+00:00, confidence not recorded.
  - readme: https://github.com/Pokee-AI/PokeeResearchOSS (fetched 2026-08-28T04:03:29.442710+00:00, sha d68a2ebca42c)
- Data as of 2026-08-30T08:39:29.467469+00:00.