EAKC · Enterprise AI Knowledge Companion · Live in production
Your AI agents are capable. They simply cannot remember your organization.
Cursor, Claude Code, Copilot — each starts from zero and keeps what it learns in its own silo. EAKC is the knowledge platform they all connect to over the Model Context Protocol: every answered question, decision, and incident accumulates in your organization’s own knowledge base, and every agent and person draws on it.
Knowledge is scattered
The answer to "how was authentication implemented?" exists — divided across GitHub, Jira, Confluence, and a chat thread from March. No one finds it.
Every agent starts cold
Coding assistants rediscover your codebase every session. What one learns, the next never sees; vendor memory is siloed by design.
Generic tools lose trust
Systems that split code arbitrarily retrieve near the answer, improvise the rest, and cite nothing. Teams quietly stop using them.
One knowledge base, three ways in
For your agents — MCP
A bidirectional MCP server: Cursor, Claude Code, or any compatible client queries your organization's knowledge and contributes what it learns back.
For your people — chat
Questions in plain language. Every claim carries a citation; strict-source mode answers only from your data; the system states plainly when it does not know.
For your workflows — missions
Describe an outcome, such as compiling and sending a weekly digest. Agents plan and execute; every outbound action is held for human approval.
What distinguishes it — everything below is live, not roadmap
- Code-aware retrieval: 8% to 72%
- Code is parsed into whole functions with documentation and call structure across 13 languages — not fixed-size fragments. That change alone took code-question accuracy from 8% to 72% on the same corpus.
- Honest by design
- Per-claim citations, a fabricated-citation guard, answer-coverage grading, and a source-maturity advisory that refuses to present a plan or a competitor document as a shipped feature.
- A knowledge graph, not only chunks
- Entities and relationships extracted across sources — what calls what, which ticket touched which module — with impact analysis, queryable in plain language.
- Memory that compounds per organization
- Missions recall prior runs; agents recall past episodes. The longer EAKC operates on your organization, the sharper it becomes — and that history is yours alone.
- An enterprise foundation
- Multi-tenant row-level security in Postgres, AES-256-GCM secret encryption, approval-gated outbound actions, over 521 automated tests, and a measured evaluation harness gating retrieval changes.
- Deployable where your data lives
- The same build runs as managed service or entirely inside your own infrastructure — for organizations where data leaving the perimeter is not an option.
Built for teams the incumbents overlook
Enterprise knowledge platforms typically start near $50,000 per year and do not self-host. EAKC serves the 5–50 person engineering team that wants a genuine company knowledge base — code-aware, cited, agent-connected — at a price that does not require a procurement committee, with a self-hosted option when data cannot leave.
Design partner program — stated plainly
EAKC is live and in daily use on its own 455,000-line codebase — and it is early, which I would rather say directly. I am onboarding a small number of design partners: you receive white-glove onboarding onto your repositories, direct access to me, and founding-customer pricing held permanently; I receive your real queries and candid feedback. If it does not earn a place in your team’s workflow, you walk away — there is no lock-in.