autoresearcher

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autoresearcherGeneral-Purpose Research Loops

Run autonomous benchmark loops for AI tools, AI research, AI products, and post-quantum blockchain engineering.

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Objective-Driven Iteration

Run autonomous loops where each iteration is accepted or rejected by benchmark results.

Headless By Default, Extensible When Needed

Use built-in internal agent execution by default, or switch to custom command-mode scripts.

Final Report Artifacts

Every run emits a markdown final report and JSONL audit log, with optional post-processing hooks (like PDF export).

AI + Crypto + Product R&D

Use one loop engine for AI tooling experiments, research workflows, product benchmarks, and chain/crypto systems.

Benchmark-Driven Loop ​

autoresearcher is a general benchmark loop CLI:

  1. Propose a change.
  2. Run benchmark.
  3. Keep or reject by metric.
  4. Repeat.

Where We Use It At Multivm Labs ​

At Multivm Labs, we use autoresearcher to accelerate measurable R&D across:

  1. Post-quantum cryptography implementations.
  2. Smart wallet and account abstraction experiments.
  3. Threshold cryptography and distributed signing systems.
  4. Chain-level performance and security benchmarks.

Live related repositories:

  1. post-quantum-packages
  2. pq-smart-wallet
  3. mithril-threshold
  4. quantum-eth

Also Built For AI Tools, AI Research, And AI Products ​

autoresearcher is intentionally general-purpose.

  1. AI tools: improve reliability, latency, and cost benchmarks.
  2. AI research: iterate on hypotheses with fixed evaluation harnesses.
  3. AI products: optimize real product KPIs with reproducible loops.