Autonomous self-improving multi-swarm AI platform with CRDT state, memory, simulation, execution governance, and verified repair loops.
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Updated
Jul 21, 2026 - Python
Autonomous self-improving multi-swarm AI platform with CRDT state, memory, simulation, execution governance, and verified repair loops.
Source-available governed cognitive architecture with an IX language runtime, typed VM, memory, planning, world modeling, uncertainty, learning, evidence-gated proposals, staged execution, human review, audited reentry, closeout ledgers, and exportable receipts. AI proposes. Humans decide. No AGI claims.
Autonomous execution governance for coding agents: run a ticket backlog to completion unattended. ASK/PARK/HALT autonomy contract, durable per-ticket state machine, deterministic test gates, git-backed reversibility, heartbeat watchdog, morning report. Python stdlib only.
Example integrations and use implementations for PyHall and WCP
Evidence-backed incident runbooks with readiness history, execution and drill verification, CLI/API parity, and Prometheus metrics
Public constitutional benchmark corpus for CIGCS render-boundary governance and admissibility verification.
PyHall Python SDK — Python reference implementation of WCP (Worker Class Protocol)
Reference implementation and executable evidence corpus for execution-prevention under the Unified Agency Architecture (UAA).
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