Show HN: An open-source Rogo/Hebbia alternative I built for a PE client on AWS

Vivan1211 released OpenGP, an open-source, self-hosted intelligence platform for private-equity firms, fund managers, and family offices, as an alternative to Rogo, Hebbia, and BlueFlame. The platform runs entirely in the user's AWS account and includes cited AI chat, data room management, portfolio analytics, model builder, meeting intelligence, LP inbox, and news outreach. The Terraform stack deploys ~77 resources with Aurora PostgreSQL, pgvector, Amazon Bedrock, Cognito, KMS, and CloudTrail, and the repository includes 2,200+ tests and a CI gate banning direct DB access from the browser.

OpenGP is a self-hosted, multi-tenant intelligence platform for private-equity firms, fund managers, and family offices — an open-source alternative to Rogo, Hebbia, and BlueFlame . Every AI answer is grounded in your documents with clickable citations, and everything runs in your own AWS account : your data never leaves your cloud. Cited AI chat RAG — ask questions across your data room and portfolio; every figure links to the exact passage it came from. Click a citation, see the source page. Data room — fund/transaction document management with server-side parsing OCR + tables , chunking, embeddings, and hybrid retrieval pgvector + full-text + rerank . Portfolio analytics — deal explorer, MOIC/IRR/DPI KPIs, sector and geography breakdowns, and an AI chart builder over your live portfolio data. Model Builder — describe an analysis "model portfolio MOIC if sector weights shift" and it writes and runs real code in an isolated sandbox, returning editable Excel models. Transaction reports — cited deal summaries generated from the data room, with custom report types. Meeting intelligence — a meeting bot joins your calls, transcribes, detects questions live, and answers them grounded in your fund data. LP inbox — email a question to your workspace's inbox address and get a cited draft answer; LP emails get suggested replies the AI never emails LPs directly . News & outreach — tracked-entity news with LLM relevance classification, plus LinkedIn outreach orchestration. Multi-tenant & white-label — workspaces with per-workspace branding, roles admin / analyst / viewer , and Postgres row-level security separating every tenant. | Cited answers | Meeting live-assist | |---|---| | Model Builder | Data room | |---|---| This is not a demo app — it's the production architecture we ran commercially, open-sourced: Aurora PostgreSQL Serverless v2 with pgvector + full-text search, ~96 row-level-security policies enforcing tenant isolation at the database layer Amazon Bedrock for document parsing Bedrock Data Automation , embeddings Cohere Embed v4 , and reranking Cohere Rerank 3.5 — plus bring-your-own model keys per workspace, routed per feature chat, reports, transcription, news via a KMS-encrypted key vault Cognito authentication with TOTP MFA, KMS encryption, CloudTrail audit trail, private S3 buckets with server-side key reconstruction no presigned-key confusion The entire stack is Terraform — ~77 resources, deployable into your own account with four variables infra/terraform/ - CI on every PR: build + tests 2,200+ , dependency audit, secret scan, SAST, and a gate that bans direct DB access from the browser QUICKSTART.md walks zero-to-running in ~half a day — including the first-workspace bootstrap script. The short version: git clone https://github.com/vivan1211/opengp.git cd opengp && npm install && npm test everything runs locally except AWS services cd infra/terraform cp backend.hcl.example backend.hcl point at your state bucket terraform init -backend-config=backend.hcl terraform plan review terraform apply Then follow docs/DEPLOYMENT.md to build the Docker images CodeBuild → ECR and roll them onto the app server, and for the full service-by-service reference. Database schema lives in docs/aws-migration/AWS-SETUP.md /vivan1211/opengp/blob/main/docs/aws-migration/AWS-SETUP.md plain SQL, applied with psql; the directory name is historical . /vivan1211/opengp/blob/main/supabase/migrations supabase/migrations/ | Doc | What's in it | |---|---| | DEVELOPMENT.md /vivan1211/opengp/blob/main/DEVELOPMENT.md docs/DEPLOYMENT.md /vivan1211/opengp/blob/main/docs/DEPLOYMENT.md docs/aws-migration/AWS-SETUP.md /vivan1211/opengp/blob/main/docs/aws-migration/AWS-SETUP.md infra/terraform/README.md /vivan1211/opengp/blob/main/infra/terraform/README.md docs/PAUSE-AND-RESUME.md /vivan1211/opengp/blob/main/docs/PAUSE-AND-RESUME.md docs/aws-migration/CLOUDFLARE-EDGE.md /vivan1211/opengp/blob/main/docs/aws-migration/CLOUDFLARE-EDGE.md In-app, the Product info pages /changelog document the architecture and security model interactively — the architecture diagram above is a screenshot of it. Tools like Rogo , Hebbia , and BlueFlame AI prove the demand for AI-native workflows in private markets — but they're closed SaaS: your fund data lives on their infrastructure, priced per seat. OpenGP is the same category of product with the opposite deployment model: AGPL-3.0 licensed, self-hosted in your own AWS account, with your own model keys . Fork it, brand it, extend it. OpenGP was built as a commercial platform for a European private-equity workspace and open-sourced in August 2026 with all customer data, branding, and identifiers removed the git history begins at the open-source release for that reason . It shipped to production; it is no longer actively developed by the original author. Issues and PRs are welcome — serious fork/maintainer interest doubly so. AGPL-3.0 /vivan1211/opengp/blob/main/LICENSE . You can use, modify, and self-host OpenGP freely — including commercially. If you offer it to others as a service, the AGPL requires you to share your modifications.