FutureHouse
Full autonomous-scientist loop. Owl agent surfaces prior work so downstream agents don't re-derive known results. WikiCrow produced cited factsheets for 15,616 previously undocumented human genes; Phoenix uses accumulated experiment context to plan chemistry work. FutureHouse is a 501(c)(3) non-profit research lab (founded 2023 by Sam Rodriques and Andrew White) whose flagship program is now an AI-for-Science postdoctoral fellowship; its tools are commercialized by Edison Scientific, a for-profit spun out of FutureHouse in 2025, and platform.futurehouse.org now redirects to Edison's platform (Kosmos agents for biopharma R&D). Recent FutureHouse research includes Robin, an end-to-end multi-agent discovery system (2026-05).
Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 29 cited facts, 3 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Cross-experiment + organism-scale factbase vendor fix
- Tier
- T1
- Latest release
- not applicable — not OSS fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- Enterprise only vendor fix
- Funding
- Philanthropically funded (Eric Schmidt) + Edison spinout raised $70M seed at $250M valuation third-party fix
- Freshness
- 2026-10-29 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial vendor fix
Memory taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- long-term
- update
- extraction
- unit
- fact
- governance
- opaque
- conflict
- llm-arbitrate
When to use
Optimised for: research-workflow integration + provenance + claim grounding
Anti-fit: not for non-research / non-academic use cases
Pros & cons
Pros
Most aggressive agent-driven scientific research lab — memory of reading + experiment trajectories is central to the product premise.
Cons
Research-positioned product — production deployment is for research teams, not general scientific software.
Claims & capabilities
Philanthropically funded (Eric Schmidt-backed). Autonomous gene-PCOS hypothesis claim.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Managed-only
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- no MCP support advertised — vertical product, no MCP server / client integration documented
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
Alternatives to FutureHouse → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
- Inworld AI T1
Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.
- NVIDIA ReMEmbR T3
Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).
- Abridge T1
Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.
- ASAPP GenerativeAgent T1
Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.
- BenevolentAI T1
Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.
- Causaly T1
Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.
Sources (28 cited facts, 3 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Cross-experiment + organism-scale factbase vendor
- What it does & what's distinct Full autonomous-scientist loop. Owl agent surfaces prior work so downstream agents don't… vendor
- Claims / benefits Philanthropically funded (Eric Schmidt-backed). Autonomous gene-PCOS hypothesis claim. vendor
- Modalities text vendor
- Created 2023-11 (co-founded November 2023 by Sam Rodriques and Andrew White) vendor
- Mindshare below detection threshold for HN/press; philanthropically funded (Eric Schmidt-backed); … third-party
- Funding Philanthropically funded (Eric Schmidt) + Edison spinout raised $70M seed at $250M valua… third-party
- Pricing Enterprise only vendor
- Deployment Managed-only vendor
- HQ US third-party
- Founders / pedigree Eric Schmidt-backed; founder Sam Rodriques (MIT Physics PhD; ex-Francis Crick Institute) vendor
- Memory volume / scale no scale claim (philanthropically funded research) vendor
- Performance FutureHouse: PaperQA2 outperforms human researchers on FactsQA / LitQA2 (paper) vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-tenant vendor
- Contradiction handling LLM resolves and overwrites vendor
- Validated verticals research only (academia + R&D in pharma / biotech / scientific publishing) vendor
- Time to running <10min (hosted SaaS) to <1day (enterprise integration) vendor
- Anti-fit not for non-research / non-academic use cases vendor
- Optimised for research-workflow integration + provenance + claim grounding vendor
- Adjacent infrastructure self-contained SaaS; some integrate with reference managers vendor
- Pros Most aggressive agent-driven scientific research lab — memory of reading + experiment tr… vendor
- Cons Research-positioned product — production deployment is for research teams, not general s… vendor
- Project & sources futurehouse.org vendor
- cost-pricing-model subscription vendor
- cost-last-verified 2026-06-29 vendor
- licensing-bucket commercial vendor
- taxonomy-three-layer-rollup agent-infra repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)