{"family":"vertical","name":"Vertical & Domain Agents","count":150,"license":"CC-BY-4.0","systems":[{"id":"0-5-physical-intelligence--pi-website","name":"π0.5 (Physical Intelligence)","url":"https://www.pi.website/blog/pi05","section":"Vertical / domain-specific AI memory","tier":1,"status":"active","last_verified_at":"2026-10-29","type":"Multi-Scale Embodied Memory (short + long episodic)","license":"Apache-2.0 (openpi repo; repo also ships a LICENSE_GEMMA.txt for Gemma-derived terms)","latest_release":"","deployment":"Cloud inference + on-robot deployment (websocket streaming)","pricing":"searched not found","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"Physical-Intelligence/openpi — ~13.3k stars, last commit not confirmed (π0.5 base, DROID and LIBERO checkpoints released)","storage":"vector","retrieval":"attention|similarity","persistence":"long-term","update":"append-only|consolidation","unit":"episode|trajectory","governance":"opaque","conflict":"append","description":"Extends π0 with MEM layer giving the policy short-term (within-task) + long-term (cross-task, >10-min horizon) memory. 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Genesis = autonomous research agent launched 2024.","cited_cells":22,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/alphasense--alpha-sense-com"},{"id":"anvilogic-forge--anvilogic-com","name":"Anvilogic Forge","url":"https://www.anvilogic.com/","section":"Use-case-specific agent harnesses","tier":3,"status":"active","last_verified_at":"2026-10-28","type":"Detection-engineering platform with AI Forge","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"yes — platform exposes an Anvilogic MCP and connects to third-party MCP servers (per platform architecture diagram)","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Founded 2019 by ex-Yahoo CISO Karthik Kannan; AI-driven detection-engineering platform. $45M Series C Jul-2024 (Evolution + G Squared; ~$200M val). 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Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.","cited_cells":31,"third_party_cells":5,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/asapp-generativeagent--asapp-com"},{"id":"auditboard--auditboard-com","name":"AuditBoard (now Optro)","url":"https://optro.ai/","section":"Use-case-specific agent harnesses","tier":2,"status":"acquired","last_verified_at":"2026-10-28","type":"Enterprise GRC platform with AI features","license":"","latest_release":"","deployment":"SaaS + private cloud","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Founded 2014; enterprise audit + GRC platform — 60%+ of Fortune 500 customers. **Acquired by Hg for $3B Jun-2024** (private-equity take-private). AI features added 2024 — auto-population of audit workpapers, AI-assisted issue classification.","cited_cells":19,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/auditboard--auditboard-com"},{"id":"benevolentai--benevolent-com","name":"BenevolentAI","url":"https://www.benevolent.com/","section":"Vertical / domain-specific AI memory","tier":1,"status":"active","last_verified_at":"2026-10-29","type":"Continuously-refreshed biological KG","license":"","latest_release":"","deployment":"Managed-only","pricing":"Qor: free trial (Try Qor for free) plus demo-led enterprise sales; no public price list","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"graph","retrieval":"graph-traversal|similarity","persistence":"long-term","update":"extraction","unit":"fact","governance":"inspectable","conflict":"overwrite","description":"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.","cited_cells":33,"third_party_cells":7,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/benevolentai--benevolent-com"},{"id":"calypso-ai--calypsoai-com","name":"Calypso AI (now F5 AI Guardrails)","url":"https://www.f5.com/products/ai-guardrails","section":"Use-case-specific agent harnesses","tier":2,"status":"acquired","last_verified_at":"2026-10-28","type":"Enterprise LLM/agent security & content scanner","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Dublin / NYC founded 2018; GenAI security and content scanning. $23M Series A-1 Aug-2024 (Paladin Capital + Lockheed Martin Ventures). Pivoted from defence ML to enterprise GenAI guardrails 2023-24.","cited_cells":17,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/calypso-ai--calypsoai-com"},{"id":"causaly--causaly-com","name":"Causaly","url":"https://www.causaly.com/","section":"Vertical / domain-specific AI memory","tier":1,"status":"active","last_verified_at":"2026-10-22","type":"Persistent causal knowledge graph","license":"","latest_release":"","deployment":"Managed-only","pricing":"Enterprise only","mcp_support":"yes — Causaly capabilities exposed via MCP, A2A and APIs","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"graph","retrieval":"graph-traversal","persistence":"long-term","update":"extraction|overwrite","unit":"fact","governance":"inspectable","conflict":"overwrite","description":"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.","cited_cells":35,"third_party_cells":4,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/causaly--causaly-com"},{"id":"causaly--causaly-com-2","name":"Causaly","url":"https://www.causaly.com/","section":"Use-case-specific agent harnesses","tier":2,"status":"active","last_verified_at":"2026-10-28","type":"Biomedical knowledge-graph + AI research agent","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"yes — Causaly scientific capabilities (literature, knowledge graph, workflows) callable via MCP, A2A and APIs","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Cross-listing: Causaly already exists in Scientific / research AI memory. This row adds the use-case agent harness framing: London-based biomedical-research AI for drug-discovery teams. $60M Series B 2023 (Index + ICONIQ). 25M+ scientific articles indexed; causal-graph-grounded.","cited_cells":18,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/causaly--causaly-com-2"},{"id":"character-ai--character-ai","name":"Character.ai","url":"https://character.ai","section":"Vertical / domain-specific AI memory","tier":1,"status":"dead","last_verified_at":"2026-10-29","type":"Layered: chat memories + auto-memories + pinned","license":"","latest_release":"","deployment":"Managed-only","pricing":"Free + paid","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"kv|vector","retrieval":"injection|similarity","persistence":"long-term","update":"extraction|overwrite","unit":"fact|episode","governance":"user-controllable","conflict":"overwrite","description":"Chat Memories (user-defined facts), auto-memories for c.ai+ subscribers, pinned memories, in-context retention. Latest chat models PipSqueak 3 and ShortSqueak (Sep 2026). On 2026-10-12 the company announced a voluntary Chapter 11 process for a court-supervised sale of all or substantially all assets (sale expected late Nov/early Dec 2026); the platform keeps running meanwhile and would be wound down if no viable bid emerges.","cited_cells":60,"third_party_cells":5,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/character-ai--character-ai"},{"id":"charisma-ai--charisma-ai","name":"Charisma.ai","url":"https://charisma.ai","section":"Vertical / domain-specific AI memory","tier":1,"status":"active","last_verified_at":"2026-10-22","type":"Author-controlled memory nodes + lying / misremembering","license":"","latest_release":"","deployment":"Managed-only","pricing":"Free + paid","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"graph","retrieval":"graph-traversal|injection","persistence":"long-term","update":"overwrite","unit":"fact|episode","governance":"user-controllable","conflict":"overwrite","description":"No-code interactive narrative platform. Characters track what they know, when they were lied to, what they misremember; story state changes downstream behaviour. Characters can deliberately lie / misremember and track when players have lied.","cited_cells":49,"third_party_cells":4,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/charisma-ai--charisma-ai"},{"id":"chatgpt-study-mode--openai-com","name":"ChatGPT Study Mode","url":"https://openai.com/index/chatgpt-study-mode/","section":"Vertical / domain-specific AI memory","tier":3,"status":"active","last_verified_at":"2026-10-22","type":"Socratic mode + general ChatGPT Memory","license":"","latest_release":"","deployment":"Web + iOS + Android","pricing":"Available on Free, Go ($8/mo), Plus ($20/mo), Pro ($200/mo), Team/Business","mcp_support":"yes (platform-level) — ChatGPT custom MCP connectors via Developer Mode on web for Business/Enterprise/Edu; Pro read-only","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"vector","retrieval":"similarity","persistence":"cross-session","update":"extraction","unit":"fact","governance":"user-controllable","conflict":"llm-arbitrate","description":"Activates a Socratic interaction style — guiding questions, scaffolded concepts, knowledge checks rather than direct answers. With ChatGPT Memory enabled, persists learning goals and facts across sessions. Memory is not study-mode-specific; it is the same general ChatGPT Memory, so personalization depth depends on whether the user has memory enabled and populated.","cited_cells":32,"third_party_cells":2,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/chatgpt-study-mode--openai-com"},{"id":"clay--clay-com","name":"Clay","url":"https://www.clay.com/","section":"Use-case-specific agent harnesses","tier":2,"status":"active","last_verified_at":"2026-10-28","type":"GTM data orchestration + AI agents","license":"","latest_release":"","deployment":"","pricing":"Free (500 actions/mo); Launch from $167/mo; Growth from $446/mo (monthly billing; annual saves 10%)","mcp_support":"yes — Clay MCP brings Clay search, enrichment and Functions into Claude, ChatGPT and Codex","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Founded 2017; GTM data orchestration — combine 100+ data sources, enrich, AI-draft outbound. $46M Series B Jan-2024 (Sequoia + Boldstart + Box Group); reported $40M+ ARR mid-2024; viral with growth marketers. Considered a cultural touchstone of the 2024 AI-GTM wave.","cited_cells":20,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/clay--clay-com"},{"id":"cleric--cleric-io","name":"Cleric","url":"https://cleric.ai/","section":"Use-case-specific agent harnesses","tier":3,"status":"active","last_verified_at":"2026-10-28","type":"Autonomous AI SRE agent for cloud-native incidents","license":"","latest_release":"","deployment":"","pricing":"Team $700/month (1,400 credits); Pro $1,500/month (3,000 credits); ~$1 to verify a change, $5 to triage an alert; free trial with 1,000 credits","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Founded 2023; autonomous AI SRE that investigates Kubernetes + cloud-native alerts end-to-end. $10M seed Apr-2024 (Greylock + Innovation Endeavors). Direct competitor to Resolve.ai in the AI-SRE wave.","cited_cells":18,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/cleric--cleric-io"},{"id":"clio-duo-manage-ai--clio-com","name":"Clio Duo / Manage AI","url":"https://www.clio.com/features/legal-ai-software/","section":"Vertical / domain-specific AI memory","tier":2,"status":"active","last_verified_at":"2026-10-22","type":"Matter-scoped PMS-native context retrieval","license":"","latest_release":"","deployment":"Cloud SaaS only (runs entirely in Clio's cloud infrastructure)","pricing":"from $49/user/mo (third-party listing; AI add-on pricing not public)","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"vector|relational","retrieval":"similarity|injection","persistence":"cross-session","update":"extraction","unit":"document|fact","governance":"auditable","conflict":"document-version","description":"SMB law firms. AI embedded in practice management; pulls full matter overviews — WIP, billing, documents, communications — as context. Memory is the PMS data; no separately persisted cross-matter layer. Renamed Manage AI at ClioCon 2025.","cited_cells":28,"third_party_cells":4,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/clio-duo-manage-ai--clio-com"},{"id":"coalfire-ai-operations--coalfire-com","name":"Coalfire AI Operations","url":"https://coalfire.com/services/advisory/ai-security-and-trust-engineering","section":"Use-case-specific agent harnesses","tier":3,"status":"active","last_verified_at":"2026-10-29","type":"Cyber-services firm with AI-assisted compliance/pentest","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Coalfire is the largest specialist-cybersecurity-services firm in the FedRAMP/PCI/HITRUST space. Apax Partners acquired majority stake 2020. Launched AI-augmented assessment services 2024 — pentest + audit workpaper automation. On 2026-05-05 Coalfire launched Audit AI in its Compliance Essentials platform, letting customers' AI agents work on live compliance data via MCP and open APIs; AI agent services for security operations (LegionAI) now sit under Coalfire AI Security and Trust Engineering.","cited_cells":14,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/coalfire-ai-operations--coalfire-com"},{"id":"cocounsel-legal-thomson-reuters--legaltechnology-com","name":"CoCounsel Legal (Thomson Reuters)","url":"https://legal.thomsonreuters.com/en/products/cocounsel-legal","section":"Vertical / domain-specific AI memory","tier":2,"status":"active","last_verified_at":"2026-10-29","type":"Session-scoped agentic context","license":"","latest_release":"","deployment":"Managed SaaS; GA in US, Canada/UK/Australia slated for later 2026","pricing":"searched not found","mcp_support":"yes — first-party CoCounsel Legal MCP connector for Claude (May 2026, expanded Aug 2026); AWS MCP connection announced","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"vector","retrieval":"similarity","persistence":"session","update":"overwrite","unit":"document","governance":"auditable","conflict":"none","description":"Next-gen release (Aug 2026, built on Claude Agent SDK) is fully agentic and adds per-matter Workspaces that keep firm documents and precedents as context across matters and teams, plus Brief Builder, a Word drafting agent and Deep Research Verify.","cited_cells":31,"third_party_cells":7,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/cocounsel-legal-thomson-reuters--legaltechnology-com"},{"id":"cognigy--cognigy-com","name":"Cognigy (now NiCE Cognigy)","url":"https://www.cognigy.com/product-updates/an-ultimate-guide-to-ai-agent-memory","section":"Vertical / domain-specific AI memory","tier":1,"status":"acquired","last_verified_at":"2026-10-23","type":"Two-tier short + long-term, shared across agents","license":"","latest_release":"","deployment":"Both","pricing":"Enterprise only","mcp_support":"yes — MCP client via MCP Node in Cognigy.AI (since 2025-04); standalone @cognigy/mcp-server npm package now deprecated in favour of the NiCE Cognigy plugin","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"kv|vector","retrieval":"exact-match|similarity|injection","persistence":"cross-session","update":"append-only|overwrite","unit":"episode|fact","governance":"inspectable","conflict":"none","description":"Acquired by NiCE (closed 2025-09-08); continues as NiCE Cognigy, standalone and inside CXone Mpower. Enterprise contact centre (voice + chat). Short-term covers current session; long-term persists across sessions and is shared by every agent a customer might encounter. 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MCP integration (2025) exposes the memory layer to Claude and ChatGPT.","cited_cells":29,"third_party_cells":6,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/scite-ai--scite-ai"},{"id":"scite-ai--scite-ai-2","name":"scite.ai","url":"https://scite.ai/","section":"Use-case-specific agent harnesses","tier":3,"status":"acquired","last_verified_at":"2026-10-28","type":"Citation-supported AI research assistant","license":"","latest_release":"","deployment":"","pricing":"Basic $12/mo billed yearly (250 MCP credits/mo); Pro $40/mo billed yearly (API access, 2,500 MCP credits/mo); org plans by quote","mcp_support":"yes — Scite MCP server connects AI agents to Scite (credit-metered by plan)","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Founded 2018 by Josh Nicholson (PhD); citation-supported research search — find supporting/contrasting/mentioning citations for a scientific claim. **Acquired by Research Solutions Sep-2023 for $26M**. scite Assistant is the AI-research-agent overlay launched 2023.","cited_cells":20,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/scite-ai--scite-ai-2"},{"id":"secureframe-ai--secureframe-com","name":"Secureframe AI","url":"https://secureframe.com/","section":"Use-case-specific agent harnesses","tier":2,"status":"active","last_verified_at":"2026-10-28","type":"Compliance automation with Comply AI","license":"","latest_release":"","deployment":"","pricing":"Fundamentals package starting at $7,500/year; other packages by quote","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Founded 2020 by Shrav Mehta; the third major compliance-automation platform (with Vanta + Drata). $56M Series B Mar-2023 (Accel + Kleiner Perkins + Base10). 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Acquired by Cisco (2025-01-31; announced 2024-12-16) to extend Splunk Enterprise Security; snapattack.com now redirects to Splunk ES.","cited_cells":14,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/snapattack--snapattack-com"},{"id":"snyk-deepcode-ai--snyk-io","name":"Snyk DeepCode AI","url":"https://snyk.io/platform/deepcode-ai/","section":"Use-case-specific agent harnesses","tier":2,"status":"active","last_verified_at":"2026-10-28","type":"AI-assisted code-vulnerability detection + auto-fix","license":"","latest_release":"","deployment":"","pricing":"","mcp_support":"yes — Snyk MCP server built into the Snyk CLI (snyk mcp) exposes Snyk scans to MCP clients","a2a_support":"","backend_storage":"","llm_lock":"","github":"","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Snyk's AI-assisted code-fix product built on the 2020-acquired DeepCode AI engine. 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Deployed by ANZ Bank (Jamie) and Mercedes-Benz.","cited_cells":30,"third_party_cells":5,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/soul-machines--soulmachines-com"},{"id":"speak--speak-com","name":"Speak","url":"https://www.speak.com/","section":"Vertical / domain-specific AI memory","tier":2,"status":"active","last_verified_at":"2026-10-22","type":"Onboarding curriculum + per-session conversation","license":"","latest_release":"","deployment":"iOS + Android + Web + Enterprise embedded","pricing":"7-day free trial; Premium and Premium Plus subscriptions (price varies by region, shown in-app); Speak for Business","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"relational","retrieval":"injection","persistence":"cross-session","update":"overwrite|extraction","unit":"profile|episode","governance":"inspectable","conflict":"overwrite","description":"Speaking-first AI language app (Spanish, French, Korean, Japanese, Italian, Chinese). 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Business edition with admin progress tracking.","cited_cells":32,"third_party_cells":7,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/speak--speak-com"},{"id":"specter-ops-bloodhound-enterprise--specterops-io","name":"Specter Ops BloodHound Enterprise","url":"https://specterops.io/platform/bloodhound-enterprise/","section":"Use-case-specific agent harnesses","tier":3,"status":"active","last_verified_at":"2026-10-28","type":"Attack-path management + AI analysis (BloodHound Enterprise)","license":"BloodHound OSS Apache-2.0 (Enterprise is commercial)","latest_release":"BloodHound CE v9.9.0 (2026-10-26)","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"SpecterOps/BloodHound — ~3.5k stars, last commit 2026-10","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Maker of OSS BloodHound (the Active-Directory graph tool); BloodHound Enterprise is the productised attack-path management platform. $33M Series A Aug-2024 (Insight Partners). 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Used in AR/VR and Alexa-style voice game contexts.","cited_cells":25,"third_party_cells":6,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/spirit-ai-character-engine--spiritai-com"},{"id":"stanford-storm--storm-genie-stanford-edu","name":"Stanford STORM","url":"https://storm.genie.stanford.edu/","section":"Use-case-specific agent harnesses","tier":2,"status":"stale","last_verified_at":"2026-10-28","type":"Wikipedia-style article-writing agent (OSS)","license":"MIT","latest_release":"knowledge-storm 1.1.1 (2025-09-29)","deployment":"","pricing":"","mcp_support":"","a2a_support":"","backend_storage":"","llm_lock":"","github":"stanford-oval/storm — ~31.7k stars, last commit 2025-09","storage":"","retrieval":"","persistence":"","update":"","unit":"","governance":"","conflict":"","description":"Stanford NLP's STORM (Synthesis of Topic Outline through Retrieval and Multi-perspective question-asking) — generates Wikipedia-style articles from a topic prompt. 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Sysdig parent: $350M Series G 2022 ($2.5B val); Permira-led 2023 round.","cited_cells":18,"third_party_cells":0,"page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/sysdig-sage--sysdig-com"},{"id":"tesla-fsd-v13-occupancy-4d-world--thinkautonomous-ai","name":"Tesla FSD V13 — Occupancy + 4D World (now FSD v14)","url":"https://www.thinkautonomous.ai/blog/occupancy-networks/","section":"Vertical / domain-specific AI memory","tier":1,"status":"renamed","last_verified_at":"2026-10-23","type":"3D occupancy network + temporal multi-modal fusion","license":"","latest_release":"FSD (Supervised) v14.3.6 for HW4 + v14 Lite for HW3 (software 2026.20.6.11, 2026-07-21) — latest found; proprietary","deployment":"On-device in Tesla vehicles; v14.x targets HW4/AI4","pricing":"FSD (Supervised) $99/month subscription; subscription-only path on Tesla support page; requires FSD computer 3.0+","mcp_support":"no MCP support advertised — vertical product, no MCP server / client integration documented","a2a_support":"no A2A protocol support advertised — vertical product, no A2A integration documented","backend_storage":"searched not found","llm_lock":"","github":"","storage":"vector|kv-cache","retrieval":"attention","persistence":"session","update":"overwrite","unit":"episode|scene-graph","governance":"opaque","conflict":"overwrite","description":"Single end-to-end neural network ingesting multi-camera video + navigation + ego-motion, maintaining an evolving 3D occupancy volume as internal world state — spatial memory persisting across frames, tracking objects that temporarily leave the camera FOV. 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