Every meeting, commit, sales call, and decision — unified into a single context layer that makes every AI agent in your stack dramatically smarter. Instantly. Locally. Privately.
+ moreYou're paying for Claude Code, Copilot, ChatGPT, Gemini. But every session starts from zero. No knowledge of your architecture. No memory of what failed last sprint. No idea what your biggest client asked for on Tuesday's call.
Every AI session starts blank. Past decisions, failed experiments, and hard-won knowledge are invisible to the tools your team relies on daily.
Engineers spend 20+ minutes per session re-briefing AI tools on stack, conventions, and context that should already be known.
AI confidently suggests approaches your team already tried and abandoned. Without context, it can't know — and your team pays the cost.
Sales knows what clients want. Engineering knows what's possible. Product knows what's planned. Your AI knows none of it.
MemexHQ runs a lightweight context server on your local network. Nodes connect to your tools, distil what matters, and store it in a distributed vector database. Every AI query gets enriched automatically — no prompting required.
Local agents attach to every tool your team uses. They listen, summarise, tag, and timestamp meaningful signals — architecture decisions, client objections, sprint priorities, code patterns, and team agreements.
Summaries are embedded and stored in your private vector database — entirely on your network. Semantic search retrieves the right context for any query, not keyword matching, actual meaning.
Every AI session output feeds back into the context store. MemexHQ gets smarter about your business with every interaction. The longer you run it, the more institutional knowledge it captures.
[GitHub · 3d ago] PR #412 reverted Redis-based rate limiter — latency spike under 500 rps. Root cause: connection pool misconfigured.
[Jira · SPRINT-88] Auth hardening is P0 this sprint. Requirement: 100 req/min per user, sliding window.
[Standup · Tue] Team agreed token bucket over leaky bucket after benchmarking.
[Claude Code · 7d ago] Existing middleware pattern in src/middleware/throttle.ts.
"Implement rate limiting for /auth. Use token bucket (100 req/min/user, sliding window). Avoid Redis connection pool — prefer in-memory with periodic flush. Extend existing pattern at src/middleware/throttle.ts. Previous attempt PR #412 failed due to pool config."
Production-ready implementation on first attempt. No back-and-forth, no rediscovering past failures. The AI knew what failed and why.
Connect your AI coding tools, dev workflow, and communication stack in minutes. Context flows automatically.
Each node is a lightweight local agent that listens to a source, summarises what matters, and writes it to the shared context store. Plug in only what you need.
Indexes PRs, commits, reviews, and changelogs. Captures architectural decisions, reverts, and code patterns your team has settled on.
Tracks sprint state, priorities, blockers, and acceptance criteria. Your AI always knows what's in-scope this cycle and what's been deprioritised.
Joins Google Meet, Zoom, Teams, and offline recordings. Extracts decisions, action items, and sentiment signals from every conversation.
Logs every Claude Code, Cursor, and Copilot session — what was tried, what failed, what shipped. Prevents teams from re-investigating dead ends.
Extracts objections, commitments, competitor mentions, and deal blockers from every client conversation via Gong, Chorus, and direct recording.
Parses PRDs, RFCs, and design docs from Notion, Confluence, and Google Docs. Keeps AI agents aligned with what was agreed, not what was assumed.
Monitors Slack, Teams, Discord, Gmail, and Outlook for informal decisions, escalations, and alignment moments that never make it into formal docs.
Connect any internal tool via the MemexHQ Node SDK. If it has an API or produces logs, it can be a context source.
MemexHQ was designed from day one for enterprises with strict data requirements. Your institutional knowledge never touches our servers.
The context server runs entirely on your local network. No data is sent to MemexHQ's servers. Ever. Air-gapped deployment available for maximum compliance.
Context is stored across nodes in your network. No single point of failure, no vendor lock-in on your company's institutional memory.
Context is scoped to the querying user's access level. Engineers don't see sales data unless permitted. Fully configurable RBAC.
Every context retrieval is logged locally. Know exactly what business context was injected into any AI session, by who, and when.
GDPR compliant. SAML SSO supported. Enterprise SLA available. We meet your compliance requirements, not the other way around.
We're building the context layer that makes every AI agent in your stack dramatically smarter. Drop your email to get notified when we open source — plus early contributor access.
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