Catch every deal. Research it against your thesis. Draft the IC memo. Watch the portfolio. Self-hosted, agent-native, MIT-licensed.
VCBrain is an open-source AI deal team you run yourself. It catches startup leads from every channel, turns each one into an analyst-grade dossier, scores it against your fund's actual thesis, drafts the IC memo, and keeps watch on your portfolio — so a lean team can run the dealflow of a much bigger one without anything slipping through.
Built as a module on the BoringOS agent framework. Your dealflow and data stay on your infrastructure.
Want this dialed in for your fund — your thesis, your sources, a managed deployment? Talk to us at hebbs.ai .
- Nothing drops. Inbound email, an embeddable submission form, your copilot chat, and an automated scout all funnel into one deduped pipeline.
- Thesis-aware, not generic. Most tools score startups on vanity signals. VCBrain scores against the thesis you configure — hard must-haves, deal-breakers, weighted dimensions — and shows its work.
- Analyst-grade dossiers. Reads the pitch deck, researches the founders, market, competition, traction (with unit economics) and the cap table, then writes a sourced brief with a diligence plan — every claim cited.
- Open source + self-hostable. No black box, no data leaving your stack. MIT-licensed: fork it, extend it, run it commercially.
- Agent-native. Real autonomous agents do the work on a schedule and on every new lead — not a chatbot you have to babysit.
Email Public form Copilot Scout
\________\___________/_______/
│ (deduped intake — one record per company)
▼
vc-research ──► living dossier (deck + deep web research)
│
▼
vc-thesis-fit ──► 0–100 score vs your thesis, fits / risks / conviction
│
▼
vc-memo-writer ──► cited IC memo, ready to edit & decide
│
▼
vc-portfolio-monitor ──► daily signals on invested companies
vc-scout ──► daily thesis-fit cold leads (YC, Product Hunt, GitHub)
| Agent | What it does | Trigger |
|---|---|---|
| vc-research | Builds the living dossier — deck + web research, founders, market, competition, traction, cap table, diligence plan | New lead (any channel) |
| vc-thesis-fit | Scores 0–100 against your active thesis; fits, risks, conviction, comps, return scenarios | Lead reaches Screening |
| vc-memo-writer | Drafts a cited IC memo from the dossier + score | Lead reaches IC |
| vc-portfolio-monitor | Records news / hiring / runway / KPI signals on invested companies | Daily cron |
| vc-scout | Surfaces thesis-fit cold leads from public sources | Daily cron |
- Pipeline — kanban by stage, fit score on every card.
- Dossier — the analyst brief: founder deep-dives, unit economics, competition, a diligence plan, live signals, the IC memo, and every source.
- Thesis Studio — define must-haves, deal-breakers and dimension weights; back-test against recent submissions.
VCBrain is a BoringOS module — install it into a running BoringOS host (no separate server to operate).
pnpm install pnpm build # builds server + web (the PluginUI bundle) pnpm test:run # 27 tests
Then pack and upload the .hebbsmod to your host's Apps screen, or via the
admin API. See docs/PLAN.md for architecture and
docs/DECISIONS.md for the full build log.
Requires @boringos/connector-google >= 0.2.13 on the host for Gmail
attachment download (pitch decks).
packages/server # the module: tools, 5 agents (SKILL.md), schema, lifecycle, webhook
packages/web # PluginUI: Pipeline, Dossier, Thesis Studio, dashboard widgets
packages/shared # shared DTOs + constants
docs/ # PLAN.md (architecture) + DECISIONS.md (build log)
MIT — see LICENSE. Free to use, fork, self-host, and build on
commercially.
Built by Hebbs . We build agentic operating layers for high-leverage teams. Running a fund and want this tailored to your thesis and sources? → hebbs.ai