Ross ROSS = Recommend OSS · open-source software intelligence for agents

Pokee-AI/PokeeResearchOSS

Pokee Deep Research Model Open Source Repo observed · 2026-08-28

github.com/Pokee-AI/PokeeResearchOSS · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

38/100

  • Activity 48
  • Release rhythm 35
  • Longevity 22

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 320
  • days_rel: n/a
  • days_push: 315
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1076 stars · 411 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity active

agent-framework rag llm-inference search-engine machine-learning artificial-intelligence large-language-models python deep-research web-search-agent 7b-model qa-benchmarks tool-use ai-agents retrieval-augmented-generation search gpu docker linux

1 source

Member repositories

RepositoryRoleHealth v2
Pokee-AI/PokeeResearchOSSmain38

For agents

markdown · JSON · MCP: product_card(name="Pokee-AI/PokeeResearchOSS")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem