redevops-io

Quick demo for regime aware asset allocation based on: https://ora.ox.ac.uk/objects/uuid:1a421d83-a010-484e-83c1-504bc9f1cbbf/files/d7s75dd17x and https://rpc.cfainstitute.org/sites/default/files/docs/research-reports/rf_aiinassetmanagement_full-monograph_online.pdf

The control plane for the redevops.io Agentic Business OS — Mission Runtime kernel (Python + Go), Projects cockpit, cost-aware LLM router, permissions plane, and reference apps. Self-hosted, open-core (AGPL-3.0).

Runtime Contract definitions

Example: a governed AI personal-tax (1040) layer — federal returns via Tax-Calculator (CC0), cross-validated against PolicyEngine-US. Built by composing open-source. AGPL-3.0 (network clause waived).

Example: a governed AI accounting layer — correct-by-construction bookkeeping ground truth from ERPNext, cross-validated against Odoo. Built by composing open-source. AGPL-3.0 (network clause waived).

Hybrid RAG (DuckDB vector + BM25 + RRF + recency/keyword priors + optional cross-encoder rerank) as an installable library + CLI.

Shared agent harness (tools, permissions, evals, guardrails) for redevops.io Agentic Business OS modules. AGPL-3.0.

Mission SDK — the developer boundary over the ReDevOps Mission Runtime (author, validate, explain a governed MissionProgram; rdo mission CLI).

Local coding-agent orchestrator — DAG of auto-approved, git-worktree-isolated sub-sessions across LLM providers (Claude/Kimi/Grok/DeepSeek/local). AGPL-3.0.

Context Runtime — a database query planner for LLM context. Decides what a model sees before it answers; plans it, runs it through reused substrate, and learns from the outcome.