Private AI brain for engineering teams · Early access
ADAM is a private, self-hosted AI brain for engineering teams: it remembers everything your team builds and answers from the best of a council of AI models.
What is ADAM?
Every AI coding session starts from zero. Your team re-explains the codebase, the decisions and the gotchas — again and again.
ADAM fixes that. It quietly captures your team's real work into a private knowledge base on your own machine, hands any AI agent a concise brief of the project, and answers questions from the best of a council of models.
Built for
What you get
How it works
ADAM runs on your machine with your own keys, and plugs into Claude Code and Gemini CLI over MCP.
It captures terminal sessions, git commits and CLI transcripts — scrubbing secrets and quarantining anything untrusted.
Agents get a project brief in a few hundred tokens. Questions are raced across a council of up to 14 AI sources.
ADAM crosschecks agents against what it knows, and fine-tunes a local model that ships only if it beats the base.
Why teams choose ADAM
Terminal sessions, git commits and CLI transcripts become a private knowledge base — so solved problems stay solved, even when people move on.
Stack, layout, entry points, the last checkpoint and exactly what changed since — instead of an agent crawling 55,000–110,000 tokens of files to orient itself.
Each question is raced across up to 14 AI sources — OpenAI, Claude, Gemini, Grok, DeepSeek, Groq, OpenRouter and local models — and grounded in your team's knowledge.
Secrets and personal data are scrubbed before anything is stored. Untrusted knowledge is quarantined, and a policy engine governs what gets in.
Bring your own AI provider keys. ADAM runs on your own machine, and your data can be exported or erased whenever you choose.
ADAM crosschecks an agent's understanding of a project against its own and flags contradictions — before they turn into bugs.
Plugs into Claude Code and Gemini CLI over MCP. No new habits — it works in the background while your team keeps building.
ADAM fine-tunes its own local model — and only promotes it if it beats the base model.
A weekly report of the tokens and time ADAM saved your team.
What it learns from
ADAM turns the trail your team already leaves into knowledge any person or agent can query.
Why it's different
A council of providers and local models, so the best answer wins — not the only vendor you pay.
Scrubbing, quarantine and a policy engine decide what is trusted before it is stored.
A weekly value report shows the tokens and time it saved.
ADAM is in early access.
ADAM is a private, self-hosted AI brain for engineering teams, built by Sigma Tech Industries. It captures the work your team does — terminal sessions, git commits, AI coding transcripts — into a private knowledge base, briefs AI coding agents on your project in a few hundred tokens, and answers questions from the best of a council of AI models.
On your own machine. You bring your own AI provider keys, secrets and personal data are scrubbed before anything is stored, and your data can be exported or erased at any time.
ADAM races each question across a council of up to 14 AI sources — including OpenAI, Claude, Gemini, Grok, DeepSeek, Groq, OpenRouter and local models — using your own keys. It also fine-tunes its own local model, which is promoted only if it beats the base model.
ADAM plugs into Claude Code and Gemini CLI over MCP. An agent can ask ADAM for a project brief instead of reading the codebase file by file — a few hundred tokens instead of 55,000–110,000.
Untrusted knowledge is quarantined, a policy engine governs what is stored, and ADAM crosschecks an agent's understanding of a project against its own, flagging any contradictions for a person to resolve.
ADAM is in early access. Request access and we will set it up with your team.
ADAM turns your team's daily work into a private, ever-growing memory that every engineer — and every AI agent — can draw on.
