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

SalesforceAIResearch/enterprise-deep-research

Salesforce Enterprise Deep Research observed · 2026-08-28

github.com/SalesforceAIResearch/enterprise-deep-research · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

56/100

  • Activity 85
  • Release rhythm 35
  • Longevity 25

Flags: no_releases

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: 351
  • days_rel: n/a
  • days_push: 92
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1203 stars · 191 forks observed · 2026-08-28

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

Enterprise Deep Research (EDR) is a multi-agent deep research system from Salesforce AI Research that combines a master planning agent, specialized search agents, MCP-based tools, and a visualization agent to produce automated research reports. It includes a FastAPI backend and React web UI, supports real-time steering and human-in-the-loop guidance, and ranks #1 on LiveResearchBench.

Use cases

  • generate comprehensive research reports on complex queries automatically
  • run multi-agent web research with academic, GitHub, and LinkedIn search
  • benchmark deep research agents on EDR-200 and leaderboards
  • steer ongoing research in real time with human feedback
  • analyze enterprise data with NL2SQL and file analysis tools
  • self-host an AI research assistant for my organization

When to choose

  • you need automated, citation-backed deep research reports
  • you want a self-hosted multi-agent research pipeline with extensible MCP tools
  • you need human-in-the-loop steering during long research runs
  • you are evaluating deep research systems against benchmarks

When to avoid

  • you need a simple single-shot LLM query without research orchestration
  • you cannot provide LLM API keys or self-host a Python/React stack
  • you need a lightweight chatbot rather than a full research workflow

Facets

application · maturity active

agent-framework rag search-engine llm-inference data-visualization benchmarking mcp artificial-intelligence large-language-models erp developer-tools python self-hosted deep-research multi-agent-system report-generation human-in-the-loop fastapi langchain web-search nl2sql enterprise-ai ai-agents search web-server docker

1 source

Member repositories

RepositoryRoleHealth v2
SalesforceAIResearch/enterprise-deep-researchmain56

For agents

markdown · JSON · MCP: product_card(name="SalesforceAIResearch/enterprise-deep-research")

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