Deep dives into multi-agent DAG architectures, zero-trust verification loops, and managed digital worker operations.
Loops make agent behavior programmable; graphs make agent organizations programmable. A close look at how Monomind adapted Andrew Ng's graph engineering playbook into a dynamic work graph with split, merge, cancel, structured handoffs, and cost-efficient planner-and-workers patterns.
Loops make agent behavior programmable; graphs make agent organizations programmable. A close look at how Monomind adapted Andrew Ng's graph engineering playbook into a dynamic work graph with split, merge, cancel, structured handoffs, and cost-efficient planner-and-workers patterns.
Monomind v2.2 replaces the old prompt-orchestrated org flow with Org Runtime v2: a persistent OrgDaemon that hosts real agent sessions per role, connected by an append-only OrgBus event log and gated by a per-role PolicyEngine.
In the 2.3.1 release, monomind fully removed its LanceDB vector backend in favor of local SQLite storage and local MiniLM embeddings via transformers.js - no cloud vector database, no API key, no native binary bloat.
monomind's Second Brain indexes your project's documents into a local, semantic search engine and injects the most relevant excerpts into every prompt - no manual retrieval, no cloud calls beyond a one-time model download, and a CI-enforced 80% recall bar to keep it honest.
monomind 2.8.0 adds native Google Antigravity support - GEMINI.md, .gemini rules, helper scripts, and a status bar integration - generated by default from monomind init, alongside opt-in opencode and Kimi Code support.
Monomind 2.9.0 is the result of a full internal audit: a 7-agent review swarm went through 233 files (~92,000 lines), fixed 28 issues with regression tests, filed 11 more as tracked GitHub issues, and took the test suite from 820 passing / 13 failing to 884 passing / 0 failing.
Monomind's org runtime doesn't simulate a team of agents with a scripted DAG - it runs real, provider-backed AI sessions coordinated through an append-only event log and gated by per-role policy engines. Here's how OrgDaemon, OrgBus, and PolicyEngine actually work.
Cloud AI platforms trade your data and your budget for convenience. Here's why we built Monomind as a local-first, open-source engine instead.
Replacing a legacy ERP takes years and carries real operational risk. Here's how a Workforce engagement is designed to automate the process instead - operating over existing UIs and APIs, with human approval built in from day one.