Enables AI agents to branch, score, prune, and merge conversation strands with provenance and timeline export. Provides MCP tools and resources for managing parallel exploratory strands.
Enables AI tools and agents to form contract-bound organizations, execute persistent task DAGs with independent audits, score decisions with counterfactual trees, run time-compressed world simulations, and control an on-demand localhost dashboard via stdio tools.
Enables AI agents to be governed by formal Gentzen sequent calculus proof trees, with human-in-the-loop approval gates and cryptographic audit trails for consequential actions.
Enables agents to route every action through a pre-execution gate that returns allow, escalate-to-human, or deny verdicts, backed by deterministic hard-rule blocks plus probabilistic gray-zone scoring, and to run a resumable orchestration loop covering routing, quality gates, stop-loss, acceptance, and escalation. Every decision, arbitration between conflicting agents, and human approval is written to an append-only hash-chained, Ed25519-signed ledger that can be postmortemed, calibrated, alert-scanned, and exported as offline verification bundles or OTel spans.
Enables autonomous agents to snapshot execution-tree and context states, evaluate branch viability, and roll back to previous checkpoints when an exploration path fails without restarting from scratch.