Lex
Repo-local memory and policy context. Frames, recall, Atlas neighborhoods, policy checks, instructions, CLI, MCP, and TypeScript API.
SmarterGPT is building the pieces agents need after the model call: durable memory, workspace-native capabilities, emerging authority boundaries, behavioral posture, and deterministic orchestration.
The first application is software development. The same pattern applies to analyst workflows, operations, compliance review, support, and any environment where agents need bounded autonomy instead of a pile of prompts.
The public surface is intentionally technical. Each piece has one job, a clear boundary, and a different maturity level.
Repo-local memory and policy context. Frames, recall, Atlas neighborhoods, policy checks, instructions, CLI, MCP, and TypeScript API.
Agent eXoskeleton Framework. Workspace-owned capabilities that tell agents how this repo builds, tests, searches, diagnoses, and operates.
Pre-alpha authority seam research. Explore how bounded agent autonomy, effect boundaries, escalation, and receipts should fit together.
Behavioral constraint engine. Personas and learned rules become deterministic constraints. It returns constraints; it does not execute.
Flow runner. Fan-out work, run gates, coordinate contained execution, and merge through deterministic plans.
LMV is the evidence-aware memory doctrine moving upstream through Lex and AXF. These 12 precepts keep memory, evidence, uncertainty, power, and operator control separate.
Evidence can support a claim without becoming final authority.
A Frame can guide inquiry, but evidence closes validation.
Recovered context remains a candidate until checked against current state.
Unknown, partial, stale, and low-confidence states should remain visible.
Conflicting records should be linked and resolved, not overwritten.
Retention, demotion, expiry, and supersession keep memory useful.
Promote memory when it changes future behavior or prevents repeated work.
Claims deserve cited witnesses: files, commands, logs, receipts, commits, URLs, or Frames.
Records and capabilities should say what they do and do not authorize.
Meaningful effects need actor, scope, reason, result, and validation records.
Humans remain responsible for destructive, secret-bearing, remote, or unbounded actions.
Bounded failures can teach when scope, cause, effect, and limits are recorded.
Frontier models can reason, but production work still needs local memory, repo facts, tool contracts, permission boundaries, receipts, and failure recovery.
MCP is an important transport. It does not decide whether an agent should deploy, which credentials are appropriate, or what to do when access fails.
Rigid SOP automation turns agents into brittle programs. Unbounded autonomy turns tools into risk. The useful middle is bounded work with receipts.
Install Lex to give agents local memory, policy context, recoverable errors, and durable instructions. It is MIT licensed and published on npm.
AXF packages repeatable repo know-how as capabilities. Agents can inspect, run, and promote those capabilities through one contract.
LexThority is public as a pre-alpha design preview for the authority seam. The concept is useful, but the boundary is still expected to change.
The software-development loop is the proving ground because it has clear tools, artifacts, and tests. The architecture is broader than code.
Analysts need dataset memory, query capability declarations, role-scoped credentials, and receipts for decisions made from uncertain data.
Ops agents need runbooks converted into inspectable capabilities, authority checks before mutation, and escalation when a credential or policy blocks action.
PM and support agents need different access than developers. LexSona can express posture; authority boundaries remain explicit; Lex records what happened.