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

ShinMegamiBoson/OpenPlanter

None observed · 2026-08-28

github.com/ShinMegamiBoson/OpenPlanter · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 70
  • Release rhythm 41
  • Longevity 13
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 195
  • days_rel: 181
  • days_push: 181
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

2434 stars · 366 forks observed · 2026-08-28

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

OpenPlanter is a recursive-language-model investigation agent that ingests heterogeneous datasets (corporate registries, campaign finance, lobbying disclosures, government contracts), resolves entities across them, and surfaces connections via evidence-backed analysis. It ships as a Tauri 2 desktop app with a live knowledge graph and wiki viewer, plus an independent Python CLI/TUI agent with file, shell, web search, and sub-agent delegation capabilities.

Use cases

  • cross-reference vendor payments against lobbying disclosures
  • resolve entities across corporate registries and campaign finance records
  • visualize connections between companies and government contracts as a knowledge graph
  • run autonomous research agents with web search and shell access
  • build a cross-linked wiki of investigation findings
  • investigate sanctions and lobbying overlaps locally with Ollama

When to choose

  • you need to link entities across multiple public datasets with evidence-backed output
  • you want an autonomous agent desktop app with an interactive knowledge graph
  • you prefer multi-provider LLM support including local models via Ollama
  • you want both a GUI and a scriptable headless CLI for investigations

When to avoid

  • you need a simple one-shot LLM chat app without agentic tool use
  • you require guaranteed factual accuracy without verifying agent findings
  • you need a hosted multi-user service rather than a local desktop/CLI tool
  • your datasets are small and don't need entity resolution or graph analysis

Facets

application · maturity active

agent-framework rag search-engine data-visualization cli gui llm-inference web-scraping osint artificial-intelligence data-science developer-tools windows cli python rust recursive-language-model knowledge-graph entity-resolution investigation-agent wiki-generation cytoscape multi-provider-llm tauri-desktop campaign-finance corporate-registry ai-agents investigative-research macos linux desktop tauri docker

1 source

Member repositories

RepositoryRoleHealth v2
ShinMegamiBoson/OpenPlantermain48

For agents

markdown · JSON · MCP: product_card(name="ShinMegamiBoson/OpenPlanter")

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