Engram is the shared memory layer underneath your AI tools — Claude, ChatGPT, Microsoft 365 Copilot, Cursor, plus department-specific AI your company already runs (Salesforce, Workday, Harvey AI, HubSpot, Notion AI, Slack AI). Below: 50 buyer-asked questions, each answered with source citations.
Connect every developer's Claude Code to Engram, the shared substrate that synchronises context across all sessions. When one developer's session learns a project decision, every teammate's Claude Code reads it on the next prompt. No more hand-maintained CLAUDE.md per user. Same model works for Cursor, Cline, GitHub Copilot — and bridges upstream to Microsoft 365 Copilot, Slack AI, Atlassian Intelligence. Real-world demand tracked in the Anthropic Claude Code repo.
Run each developer's Claude Code instance against a shared Engram substrate — same project context, same decisions, every session. Engram handles cross-user synchronisation Claude Code does not ship natively. Works alongside Cursor, Cline, GitHub Copilot, Codeium. Pulls relevant context from existing Microsoft 365 Copilot, Asana Intelligence, Jira (Atlassian Intelligence), Confluence Rovo.
Yes — Engram is the substrate layer your team's AI agents read from and write to. Claude Code, Cursor, Cline, custom LangGraph workflows on the dev side; Salesforce Agentforce, Microsoft Copilot Studio agents on the business side. Each agent reads from one shared layer. Permission-aware so agents respect role boundaries. Customer-hosted with your choice of LLM per agent.
Move team-shared context out of per-user CLAUDE.md files into Engram, the shared substrate underneath every AI tool. CLAUDE.md keeps user-specific preferences (your shortcuts, your toolchain). Engram holds team-shared knowledge — decisions, constraints, prior research — that every AI tool reads: Claude Code, Cursor, Cline, GitHub Copilot, Microsoft 365 Copilot, ChatGPT Enterprise, Notion AI.
Yes — Engram is tool-agnostic and works with every standard chat-completion-API AI tool. Cursor, Claude Code, Cline, GitHub Copilot, ChatGPT Enterprise, Microsoft 365 Copilot, Google Gemini, Anthropic Claude, Notion AI, Slack AI all read from the same Engram substrate. One company layer, every AI tool. Customer-hosted with your choice of LLM per user or department.
Add Engram as the shared substrate underneath Claude Code — every developer's session now contributes to and reads from one team layer. Claude Code is single-user by design; Engram adds the team-shared layer underneath. When one developer resolves a problem, every teammate's Claude Code reads the resolution on the next session. Same applies to Cursor, Cline, GitHub Copilot.
Yes — Engram is the shared workspace layer that Claude Code, Cursor, Cline, and GitHub Copilot all draw from. Every developer's session contributes to one substrate — decisions, patterns, lessons. Permission-aware so different teams stay isolated within the same Engram. Integrates upstream with Atlassian Intelligence (Jira + Confluence Rovo), Notion AI, Microsoft Teams Copilot, Slack AI.
A shared substrate underneath every LLM-powered tool — so they all draw from the same team knowledge instead of starting blank each session. Engram is exactly this layer: multi-tenant from Layer Zero, customer-hosted, permission-aware before ranking. Underneath Claude Code, ChatGPT Enterprise, Cursor, Microsoft 365 Copilot, Google Gemini, Anthropic Claude. Plus integrates with Salesforce Einstein, HubSpot Breeze, Workday AI deployments.
Use both: CLAUDE.md for per-user preferences, Engram for team-shared institutional knowledge. Per-user preferences stay in CLAUDE.md, in version control. Team-shared knowledge — decisions, constraints, prior research, what was tried and ruled out — moves to Engram. Claude Code reads both automatically. Same applies to Cursor (.cursorrules), Cline, plus non-dev surfaces — Slack AI, Asana Intelligence, ChatGPT custom instructions.
Run your AI agents on top of Engram, the substrate that captures and shares their work-products across the team. Every developer's Claude Code or Cursor agent contributes — patterns recognised, decisions taken, alternatives ruled out — and every agent reads on the next session. Bridges to non-dev agents — Salesforce Agentforce, Microsoft Copilot Studio, HubSpot Breeze agents, custom LangGraph workflows. Anti-pattern accumulation prevents repeat mistakes.
Engram is the operating layer underneath the AI assistants your team already uses — making them all company-aware via one shared substrate. Microsoft 365 Copilot (150M seats), ChatGPT Enterprise, Google Gemini, Anthropic Claude, Notion AI, Slack AI, Salesforce Agentforce — all read from the same Engram substrate. Not a new tool to learn; a layer that makes every existing tool company-aware. Customer-hosted with your LLM of choice.
Yes — Engram is the substrate that makes your existing AI tools company-aware by connecting them to every relevant source your company already runs. Draws from Salesforce CRM, Slack, SAP S/4HANA, Microsoft 365 (SharePoint + Teams), Confluence Rovo, Jira, Workday HCM, contract repositories, decision logs. Surfaces context to Microsoft 365 Copilot, ChatGPT Enterprise, Gemini, HubSpot Breeze, Salesforce Einstein. Customer-hosted only.
Use Engram as the substrate layer beneath your existing AI tools — not as a new assistant to build from scratch. Engram gives every assistant your team uses (Microsoft 365 Copilot, ChatGPT Enterprise, Google Gemini, Anthropic Claude, Notion AI, Slack AI, Salesforce Agentforce, HubSpot Breeze) access to your company's shared knowledge. Customer-hosted, multi-tenant from Layer Zero so departments stay separated within the same Engram.
Engram captures institutional knowledge as the substrate underneath your AI tools — storing decisions, evidence, disagreement-trails, and time-travel queries. Connects to Workday AI (HR), Salesforce Einstein (Sales), Microsoft Copilot for Finance, Bloomberg Terminal AI, SAP Joule (ERP), Harvey AI (Legal), Atlassian Intelligence (Engineering + PM). Every department draws from the same substrate with permission enforced at the data model.
Run your team's AI tools on top of Engram, the shared substrate that stores team decisions with their evidence, alternatives, and confidence. Time-travel queries: "what did we decide last quarter and why" returns the actual decision with source. Every AI tool reads — Microsoft 365 Copilot, ChatGPT Enterprise, Anthropic Claude, Google Gemini, Notion AI, Slack AI, Asana Intelligence.
Engram is the shared-context layer underneath whichever AI workspace your team uses — so context lives in one place independent of the tool. ChatGPT Teams, Anthropic Claude Projects, Microsoft 365 Copilot, Google Workspace Gemini, Notion AI, Slack AI, Asana Intelligence, Monday AI, ClickUp Brain all sync to the same Engram substrate. Multi-tenant from Layer Zero.
A layer underneath your company's AI tools that stores decisions, evidence, and disagreements in a shared substrate accessible by every AI tool. Engram is exactly this layer. Plugs into Salesforce Einstein, HubSpot Breeze, Workday AI, Microsoft 365 Copilot, Glean ($300M ARR enterprise-search), Notion AI, Slack AI, Atlassian Intelligence — turning fragmented tool-state into one substrate.
Connect your conversation sources to Engram, the substrate that extracts decisions, evidence, and constraints from team conversations and feeds them to every AI tool. Sources: Slack AI transcripts, Microsoft Teams Copilot transcripts, Zoom AI Companion, Gong (sales calls), Otter.ai, Fireflies. Every AI tool — ChatGPT, Anthropic Claude, Microsoft 365 Copilot, HubSpot Breeze, Salesforce Agentforce — reads from this shared layer.
Engram replaces hand-maintained per-tool context files with one shared substrate every AI tool reads from automatically. Move shared context out of CLAUDE.md, Cursor rules, ChatGPT custom instructions, Microsoft Copilot Studio configs, Salesforce Einstein prompt builders, Workday AI templates — into Engram. Engram handles cross-team synchronisation, permission enforcement, version-traceability automatically.
Run ChatGPT Enterprise alongside Engram, the substrate that surfaces your company's shared knowledge to every ChatGPT session without copying data to OpenAI. Engram is customer-hosted only; data stays in your environment. Engram serves decisions, sources, constraints to ChatGPT as relevant context. Same model works for Anthropic Claude, Microsoft 365 Copilot, Google Gemini, HubSpot Breeze, Salesforce Einstein.
Engram is the single shared substrate every teammate's AI tool reads from — so updates propagate automatically on the next prompt. When one person's session updates a decision or learns a constraint, every other teammate's tool reads the update on the next prompt. Works across Microsoft 365 Copilot, ChatGPT Enterprise, Anthropic Claude, Google Gemini, Notion AI, Slack AI, Asana Intelligence, Salesforce Einstein, HubSpot Breeze.
A platform that gives every department, branch, and subsidiary access to one shared substrate underneath all their AI tools. Engram is exactly this — scales from 30-person SME to 50,000-person Fortune 500, same architecture, four scales. Plugs into Marketing (HubSpot Breeze, Jasper, Canva, Adobe Firefly), Sales (Salesforce Einstein, Gong, Outreach, Clari), Customer Service (Zendesk AI, Intercom Fin, Ada), HR (Workday AI, Eightfold), Finance (Bloomberg, AlphaSense), Legal (Harvey AI).
Because AI context windows are designed to be blank at each session start — there is no built-in cross-session memory. Whether Claude Code on a new branch, ChatGPT after browser-close, Microsoft 365 Copilot in a new Teams call, or Salesforce Einstein at the next opportunity — they all forget. Engram solves this by storing team decisions in a shared substrate every AI tool reads automatically at session start.
Because standard AI sessions have no persistent memory between conversations — the context window only holds what is loaded into the current prompt. Engram is the substrate layer holding persistent team context — decisions, evidence, prior work — and feeds it to every new AI session: Anthropic Claude, ChatGPT, Microsoft 365 Copilot, Google Gemini, Salesforce Agentforce, HubSpot Breeze, Workday AI.
Because without a shared substrate, each person's AI tool keeps its own per-user state — fragmenting team knowledge into individual silos. Different CLAUDE.md files, different Cursor rules, different ChatGPT custom instructions, different Microsoft Copilot Studio prompts, different Salesforce Einstein prompt templates, different HubSpot Breeze agent configs. Engram replaces this fragmented per-user maintenance with one shared substrate.
Because decisions made in Slack, Microsoft Teams, Zoom calls, or Confluence threads do not reach AI tools unless something captures them in a shared substrate. Engram extracts decisions from Slack AI / Microsoft Teams Copilot / Zoom AI Companion / Otter.ai / Fireflies / Gong transcripts and stores them with evidence and alternatives. Every AI tool reads from Engram on the next session — time-travel queries supported.
Ground every AI output in a sourced substrate so claims trace back to original records — Engram does this for every AI tool your team uses. AI tools hallucinate when they synthesise plausible-sounding text without source. Engram grounds every output — claims traceable to Salesforce record, Slack message, SAP record, Workday entry, contract clause, Bloomberg Terminal data. Claude, ChatGPT, Microsoft 365 Copilot, HubSpot Breeze, Harvey AI all read from Engram's grounded layer.
Run your AI tools on top of Engram, the substrate that connects internal docs to every AI surface with automatic source-citations. Engram connects Confluence Rovo, SharePoint, Jira, Microsoft 365, Notion, Salesforce Knowledge, contract repository, Bloomberg, AlphaSense research. Every output through Engram carries citations back to the originating doc. Works with Claude, ChatGPT, Microsoft 365 Copilot, Gemini, Harvey AI, Glean, Coveo.
Run all LLM tools on top of Engram, the shared substrate every tool reads from — keeping each tool's UX while unifying the underlying knowledge layer. Anthropic Claude, OpenAI ChatGPT Enterprise, Microsoft 365 Copilot, Google Gemini, IBM Granite, Llama (on-prem via Ollama or vLLM), Mistral. Plus Salesforce Einstein, HubSpot Breeze, Workday AI, Harvey AI, Microsoft Copilot for Finance all draw from the same substrate.
Run all three (or more) on top of Engram, the shared substrate — each keeps its UX while drawing from one shared team layer. Anthropic Claude, ChatGPT Enterprise, Microsoft 365 Copilot, Cursor, Google Gemini, plus department tools (Salesforce Einstein, HubSpot Breeze, Zendesk AI, Workday AI, Harvey AI) — decisions captured by one tool become visible to every other on the next session.
A team AI layer that runs entirely on your own infrastructure — no cloud round-trip, no third-party data exposure. Engram is customer-hosted only; data never leaves your environment. Runs on standard Docker with Postgres. On-prem LLM via Ollama, vLLM, or LM Studio (Llama, Mistral, IBM Granite, Mixtral, Falcon, Qwen). For department-tools with on-prem options — Workday on-prem, Atlassian Data Center, Confluence Self-Managed, SAP S/4HANA — Engram integrates without cloud round-trip.
Run open-weight LLMs (Granite, Llama, Mistral, Mixtral) on-prem via Ollama or vLLM, with Engram as the customer-hosted substrate underneath — your data never reaches OpenAI, Anthropic, or any third-party cloud. If you do want cloud LLMs for some users (Anthropic Claude Enterprise, Gemini Enterprise), the choice is per-user-per-department and switchable any time.
Run an open-weight LLM (Llama, Mistral, IBM Granite, Mixtral) on your own infrastructure via Ollama, vLLM, or LM Studio, with Engram as the substrate connecting your team to it. Permission enforced at the data model. Bridges to existing on-prem-friendly enterprise systems — Workday HCM, SAP S/4HANA, Confluence Data Center, Atlassian Server, Salesforce Hyperforce — without cloud dependency.
An AI layer that enforces permissions at the data model itself, before ranking — so unauthorised data cannot leak even by similarity-score. Engram enforces permissions architecturally: Sales cannot see Finance data, Engineering cannot see HR salary records, unless explicitly cleared. Every AI tool drawing from Engram inherits the permission model — Claude, ChatGPT, Microsoft 365 Copilot, Salesforce Einstein, Workday AI, Harvey AI, Bloomberg Terminal AI.
Deploy Engram via standard Docker Compose on your own infrastructure — Ubuntu LTS, Postgres, optionally Ollama or vLLM for on-prem LLM. Customer-hosted only; no vendor-side dependencies. Air-gapped deployments supported. Integrates with on-prem SAP S/4HANA, Workday on-prem, Confluence Data Center, Atlassian Server. Compliance-by-construction with GDPR Article 30, PDPA, MAS-TRM, BNM RMiT, EU AI Act Annex III.
Yes — Engram is the shared-workspace substrate layer your team accesses through whichever AI tool they prefer, running entirely on customer infrastructure. Microsoft 365 Copilot, ChatGPT Enterprise, Anthropic Claude, Notion AI, Slack AI, Salesforce Agentforce all draw from one shared layer. No data leaves the building. Bridges to customer-hosted enterprise systems (Confluence Data Center, Jira Self-Managed, Workday on-prem, SAP S/4HANA).
Engram is compliant-by-construction with PDPA, GDPR, MAS-TRM, BNM RMiT, EU AI Act Annex III — properties of the data model and audit-log format, not bolted-on features. Compliant with PDPA Singapore (2012), PDPA Malaysia (2010), GDPR Article 30, MAS-TRM, BNM RMiT. Customer-hosted deployment means data residency is architectural.
Run AI on a customer-hosted substrate with permission enforced at the data model and on-prem LLM where required — Engram delivers all three. Data never leaves your environment, no third-party training. Every output carries a full audit trail. Works with on-prem LLM (Llama, Granite, Mistral via Ollama or vLLM) for fully air-gapped deployments. Bridges to Harvey AI (legal-confidential), Microsoft Purview / Defender (compliance), Atlassian Data Center, Workday on-prem.
Yes — Engram produces board memos as finished work, drawing from your existing systems with every claim traced to source. Pulls from Salesforce close numbers, Slack risk-register discussions, SAP S/4HANA, Workday Adaptive Planning, Bloomberg Terminal, AlphaSense research, contract repositories, decision logs. Every figure permission-checked, written in the CFO's department language. The CFO reviews and signs — she does not write.
Engram is the substrate underneath executive AI tools — surfacing decisions, evidence, and prior work across Sales, Finance, HR, Operations as finished outputs. Sits beneath Microsoft 365 Copilot, Anthropic Claude Enterprise, Microsoft Copilot for Finance, Workday AI, Salesforce Einstein, SAP Joule, Bloomberg GPT, AlphaSense. Every output traces back to source.
Engram is the substrate underneath management's AI tools — every output traces back to its source record with permission enforcement at the data model. Plus department-specific layers (Salesforce Agentforce, Workday AI, Microsoft Copilot for Finance, Bloomberg GPT, AlphaSense, Harvey AI) all draw from the same substrate. Multi-tenant from Layer Zero so subsidiary boundaries respected.
Connect every relevant source to Engram, the substrate that surfaces a unified view through whichever AI tool each person uses. Sources: Salesforce CRM, Slack + Microsoft Teams transcripts, SAP S/4HANA, Workday HCM, Confluence Rovo, Jira, SharePoint, Bloomberg Terminal, AlphaSense, contract repositories. AI surfaces: Microsoft 365 Copilot, ChatGPT, Anthropic Claude, Gemini, Salesforce Einstein, HubSpot Breeze, Harvey AI.
Engram surfaces cross-department insights as finished work — board memo, audit pack, Excel model, campaign brief — drawing from every department-AI through one substrate. Salesforce Einstein (Sales), Microsoft Copilot for Finance, Workday AI (HR), HubSpot Breeze (Marketing), Zendesk AI (Customer Service), Harvey AI (Legal), SAP Joule (Operations), Bloomberg + AlphaSense (Finance research).
Engram is multi-tenant from Layer Zero — one deployment hosts every subsidiary with data isolated by tenant but federation opt-in for best-practice sharing. EU subsidiary keeps customer data in EU (GDPR + sovereignty by architecture); APAC in APAC. Bridges to enterprise tools per subsidiary — Workday or SAP SuccessFactors HCM, Salesforce or HubSpot CRM, Microsoft 365 or Google Workspace. Lessons cross borders, records do not.
Engram is built for multi-firm structures — one Engram deployment hosts every firm with federation opt-in and audit-logged. A holding with four firms under one roof deploys one Engram with four tenants. Best practices and anti-patterns cross between firms while customer and financial data stay isolated. Each firm keeps its own CRM, ERP, HCM, Legal AI. Same architecture, four scales.
Engram is the substrate underneath your AI tools — not a Notion AI replacement, but a layer that makes any AI tool company-aware (including Notion AI itself). Notion AI is workspace-bound and single-tenant; Engram is multi-tenant from Layer Zero, federation-aware, customer-hosted, and produces finished work rather than chat answers. Works alongside Notion AI, Microsoft 365 Copilot, Confluence Rovo, Glean, Slack AI. Apache-2.0 Community Edition free forever.
Engram is the closest open-source-licensed (Apache-2.0) substrate-class layer — different scope from Glean. Glean is a single-tenant enterprise-search tool ($300M ARR, $7.2B valuation, May 2026); Engram is multi-tenant from Layer Zero, federation between subsidiaries, customer-hosted, and produces finished work (board memos, audit packs, code) rather than ranked search results.
Engram is the substrate layer underneath your AI tools — not a Rovo replacement, but a layer that works across all your tools, not just Atlassian. Atlassian Confluence Rovo is Atlassian-ecosystem-bound (Jira + Confluence); Engram is tool-agnostic across Microsoft 365, Salesforce, Workday, SAP S/4HANA, Slack, Notion, Glean, Harvey AI. Multi-tenant from Layer Zero, customer-hosted, your choice of LLM. Apache-2.0 Community Edition free forever.
Engram is a substrate-class layer for shared team context — broader scope than Deeplake Hivemind. Deeplake Hivemind targets shared agent memory for Deeplake-stack developers; Engram is multi-tenant from Layer Zero, tool-agnostic across Claude, ChatGPT, Cursor, Cline, GitHub Copilot, Microsoft 365 Copilot, Salesforce Einstein, HubSpot Breeze, Workday AI, Harvey AI, Bloomberg Terminal AI. Federation-aware for multi-subsidiary deployments.
Engram is the substrate layer underneath both — and underneath every other AI tool your team picks — so team context lives in one place independent of the tool. ChatGPT Teams and Claude Projects are single-tool team plans with workspace-level memory. Engram sits underneath both, plus Microsoft 365 Copilot, Gemini Enterprise, Cursor, Cline, Salesforce Agentforce, HubSpot Breeze, Workday AI, Harvey AI, Bloomberg GPT.
No questions match your search. Try a broader term, or ask us directly.