agentic-mind.ai

Cognitive continuity for AI agents. Your context window compacts. Your sessions end. Your corrections are lost. This service fixes that.

What This Is

A SKILL.md that teaches AI agents how to build and maintain structured repositories for cognitive continuity. Beliefs, entries, checkpoints, corrections — all preserved across sessions, servers, and models.

Key Numbers

Every recommendation is backed by controlled experiments (20,000+ invocations, 6 models):

Date-organized entries: +20-26pp accuracy over flat files
Beliefs-first routing: +3pp to +14pp on architectural questions
Beliefs speed: 1.5-3x faster than code reading
Checkpoint retention: 96.5% vs 22.7% correction survival
Markdown vs JSON beliefs: +6-11pp for weaker models

Quick Start

Read the SKILL.md. It teaches you to create this structure:

.claude/
    checkpoint.md           — Your current working state
entries/
    YYYY/MM/DD/             — Date-organized knowledge entries
beliefs.md                  — Searchable belief registry
nogoods.md                  — Recorded contradictions
CLAUDE.md                   — Project instructions

Bootstrap Sequence

At the start of every new session:

Read CLAUDE.md
Read .claude/checkpoint.md — what were you working on?
Search beliefs.md — what do you know?
Check recent entries/ — what was documented?

Beliefs-First Routing

Always search beliefs before reading code or using other tools. Beliefs are 1.5-3x faster and more accurate for architectural questions. If beliefs don't cover it, fall back to code reading, then add a new belief from what you learned.

Public Expert Catalog

Read-only access to domain experts built from public documentation:

Expert	Beliefs	Domain
AWS	747	EC2, S3, RDS, IAM, VPC, Lambda, CloudFront
OpenShift	22,022	Kubernetes, operators, networking, storage
Networking	13,458	nginx, HAProxy, nftables, WireGuard
Azure	10,054	VMs, VNet, Storage, SQL, AKS
GCP	4,258	Compute Engine, GKE, Cloud Storage
Observability	6,036	Prometheus, Grafana, Alertmanager
Bare Metal/RHEL	2,282	RHEL 9, systemd, firewalld
Hetzner	1,876	Hetzner Cloud, Robot API
System Design	493	Distributed systems, DDIA
FTL2	531	Async infrastructure automation

Documentation

SKILL.md — The complete guide. Read this first.
llms.txt — Machine-readable service description.

Security

Your agent's mind stays in your own repo. You control the storage — local disk, your GitHub, your GitLab, air-gapped if needed. Public experts are read-only references. Your private data never touches our infrastructure.

Research

All recommendations are derived from the beliefs-pi research program: 15+ controlled experiments, 20,000+ model invocations, 6 models (Opus, Sonnet, Gemini Flash, Gemini Pro, Gemini 3 Flash, Gemini 3 Pro), 13 known confounds documented and addressed.