AI agents need more than a model.
They need memory, state, recovery, and guardrails.
When autonomous AI agents touch infrastructure, databases, and third-party APIs, raw LLMs fail silently or trigger destructive actions without a safety barrier. Joltrin provides an authoritative verification barrier and durable memory log between the agent and the external world.
Agent Memory
Persistent agent state, step checkpoints, and 128-d vector similarity indexing across sessions without external database latency.
Agent Recovery
Crash resumption, atomic rollback of interrupted reasoning chains, and self-healing task trees when workers fail mid-flight.
Agent Verification
Deterministic precedence checks gating destructive operations. Evaluates actions against explicit policies before execution.
Agent Governance
Okta & Microsoft Entra ID identity binding, tamper-evident audit trails, hierarchical RBAC, and policy rate limits.
AI DevOps Agent Preparing a Production Deployment
Imagine an AI DevOps agent executing a database migration. Joltrin preserves the agent's state, checkpoints each verification step, and evaluates sensitive operations against explicit precedence rules before anything touches production.
- ❌ Hallucinated or out-of-order execution drops database
- ❌ Lost context on container crash or API network failure
- ❌ No atomic rollback for failed intermediate operations
- ❌ Zero auditability or attribution to enterprise identity
- ✓ Precedence barrier blocks drop until backup is validated
- ✓ Durable checkpoints enable instant crash recovery & resume
- ✓ Strict ACID serializability guarantees transaction safety
- ✓ Tamper-evident audit log bound to Okta / Entra ID
Designed For Enterprise Agentic Workflows
Example Production Use Cases
AI DevOps & Cloud Automation
Guarding Terraform plans, Kubernetes deployments, and database schema migrations with automated pre-flight checks.
Software Engineering Agents
Persistent workspace checkpoints, reasoning step rollbacks on test failures, and sandboxed tool call verification.
Enterprise Workflow Agents
Multi-step invoice processing, payroll approvals, and customer data updates with role-based identity validation.
Multi-Agent Swarms
A shared, serializable transactional blackboard enabling swarms of agents to coordinate state without race conditions.
Tool-Using AI Agents
Preventing unvetted API calls, data exfiltration, and quota exhaustion through rate-limited policy verification.
MCP-Based Infrastructure
Seamless drop-in verification barrier for Model Context Protocol servers (tools/mcpserver) and A2A bridges.
Stop an agent before it drops your database.
This runs ai/verify, the safety and reachability barrier compiled to WebAssembly. It is the identical Go package that gates tools/mcpserver and tools/a2aagent, Joltrin's real MCP and A2A servers, just wired to buttons here instead of protocol calls. Try dropping the database before validating a backup.
Runbook: db-maintenance
Barrier log
What this page is, and isn't
This is a static site with no backend, so it cannot run a live MCP or A2A network server, both are real protocols an agent connects to over stdio or HTTP. What you just clicked through is the actual verification logic those servers call before committing a step. Run the real servers yourself:
git clone https://github.com/SharedCode/joltrin.git cd joltrin go run ./examples/verify_barrier # same scenario, in a terminal go run ./cmd/sop-mcp-server # MCP over stdio go run ./cmd/sop-a2a-agent & # A2A over HTTP curl localhost:8087/.well-known/agent-card.json
Ready to Put Agentic Workflows Into Production?
Explore Joltrin Pro for team governance or contact us about Enterprise deployment with Okta / Entra ID SSO and custom compliance invariants.