massiron builds the intelligence into the tools — not the model. Deterministic understanding, autonomous execution, owned outright. Swap in any brain, even a free local one. The result doesn't change — you just stopped paying rent on it.
your machine · your key · no token ceiling · any brain, or none
Reads your codebase, edits files, runs tests, commits. Not a suggestion — an executor.
Pure AST. No LLM, no guesses. Full dependency graph, risk map, security scan in 69s.
Generates posts. Learns from engagement. Nothing publishes without your approval.
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The core of every tool is deterministic — same input, same answer, no model required. An AI brain only makes it faster; it never decides the truth. The value never depends on a key, a cloud, or a vendor staying online.
Code analysis, graphs and risk are pure computation. Nothing to pay per query.
Reproducible output, identical five years from now. A model can't lie about what is actually there.
Everything runs on your machine. Your key, your code — nothing leaves. Ever.
Drop in a DeepSeek key → full autonomous agent loop at cloud speed.
No cloud key? Point it at Ollama. Same agent, fully offline.
The MCP server + 51 tools still stand. Your existing LLM discovers and drives them.
It doesn't suggest what you should type next. It runs the task end-to-end — reading files, making changes, verifying results — without you watching.
reasoning, not completion.
DeepSeek R1 thinks through problems before acting. Complex refactors, failing test suites — it plans, then executes.
18× cheaper than GPT-4.
BYOK. Requests go direct to platform.deepseek.com. ~$0.27/M tokens. A typical bug fix costs less than a coffee.
your code never leaves.
No proxy. No logging. API key goes direct from your terminal to DeepSeek. We never see it.
pip install deepstraindeepstrain chatstrain chat "ship this feature"Reads your codebase, edits files, runs tests, fixes errors — on its own.
Chain-of-thought model. Architecture decisions, multi-file refactors, complex debugging.
Filesystem · git · shell · web · reasoning · memory. Everything to complete a task.
Your DeepSeek API key, your hardware. Requests go direct to DeepSeek.
Nuitka-compiled, ~4 MB, via PyPI. No source exposure, no interpreter overhead.
HMAC-signed license, works without internet after first activation.
Pure AST analysis. No LLM, no guesses. Dependency graphs, security scans, hotspot detection. One HTML report that works offline, forever.
no hallucinations.
Pure AST. Same codebase always gives the same output. No probabilistic guesses, no model errors.
works offline.
Scan on a plane. Share the HTML without a server. No account needed after activation.
plugs into your AI assistant.
atlas_mcp exposes the full call graph to Claude, Cursor, or any MCP-compatible tool.
coreLines, complexity, function count. Baseline metrics across every file.
system_mapFull import dependency graph. Know which modules are load-bearing before you touch them.
risk_radarRanks files by change risk — coupling + churn + complexity. Know where not to poke.
security_shieldScans for insecure patterns: hardcoded secrets, SQL injection vectors, unsafe deserialization.
code_healthDuplication, dead code, test coverage gaps. Measures tech debt objectively.
atlas_mcpMCP server: expose atlas data to any AI coding assistant in real time.
decision_centerAI-assisted refactor planner. What to extract, consolidate, or retire — ranked by impact.
ownership_mapMaps files to git authors. Who owns what, who needs to review what.
rewindHistorical snapshots of codebase health. Track debt and quality over time.
what_ifPre-merge impact analysis. Simulate what breaks if a file changes.
commit_guardPre-commit hook integration. Block commits that introduce new security issues.
Developer marketing that remembers. Runs on your machine, learns from engagement, posts only after your approval. Strategy built-in — LLM just writes the words.
approval gate — always on.
Every post lands in pending_approval. Nothing publishes without your review. Editing and rejecting are first-class.
engage → learn → adapt.
Tracks upvotes, comments, replies per post-type. Exploits what works, explores what hasn't been tried.
ethics filter. hard.
No invented metrics. No roadmap features stated as shipping. No superlatives without a number.
pip install adautopython ≥ 3.10adauto serveHTTP :8766adauto run --campaign my-productgenerate → approve → postAtlas maps what you built. deepstrain improves it. Adauto tells the world about it. Three tools, one cognitive loop — understand, execute, narrate.
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