Give AI Agents a Verification Barrier
Before They Take Consequential Action.
AI agents used to just generate text. Now they call tools, change infrastructure, work with APIs, and carry out multi-step tasks on their own.
The real question:
It's not just "Can the agent make the right decision?" anymore.
It's "How do we know it's allowed to take this action before it happens?"
Memory + recovery + verification for AI agents. Joltrin gives developers a place to keep an agent's state, recover from failures, and check important actions against explicit rules before they happen.
The Agent Verification Barrier:
A Checkpoint Before Action.
An agent that reasons well doesn't automatically deserve unchecked access to your systems. Joltrin sits between what the agent decides to do and the outside world, and checks that the action is actually allowed before it happens.
Evaluates proposed actions against formal state machines and explicit pre-conditions before permitting execution.
Validates required operational invariants (e.g., verifying that a production database backup is confirmed before allowing drop operations).
Mathematically ensures that prohibited system states cannot be reached through compound, multi-step agent plans.
Enforces policy-as-code written in Go or Common Expression Language (CEL) with sub-millisecond evaluation latency.
If a downstream tool execution fails or violates rules, Joltrin automatically rolls back in-flight scratchpad state with zero side-effects.
Generates tamper-evident cryptographic audit records for every allowed, blocked, or intercepted operation.
ai/verify runbook gating MCP and A2A agents. Try dropping a database before taking a backup.
Why This Matters
If an agent can deploy infrastructure, modify data, or call production APIs, a mistake gets expensive fast. Joltrin gives those agents durable state and a policy checkpoint before anything important happens, so your team isn't building that safety net from scratch.
Fewer expensive mistakes
Stop an agent from wiping a database, leaking data across tenants, or breaking a security rule before it happens, not after you notice the damage.
More confidence deploying agents
Give security, DevOps, and compliance a real policy layer around autonomous agents, so going from proof-of-concept to production doesn't require a leap of faith.
Less infrastructure to build yourself
Skip hand-rolling checkpointing, rollback logic, and locking for every new agent project. Use one open-source foundation instead.
A clearer path to governance
Tie every agent action back to a real identity (Okta or Entra ID), role-based access, and an audit log: the same controls compliance already expects from people.
Agents Need Memory They Can Trust.
When an agent's process restarts, a network connection drops, or a container gets evicted, whatever it was holding in memory is gone. Joltrin gives it durable state, transactional checkpoints, and a deterministic way to recover.
Survives Failures & Reboots
State is persisted directly to local copy-on-write B-Trees or clustered storage with zero dependency on ephemeral cache processes.
Atomic Multi-Step Commits
Record intermediate reasoning steps atomically. If an agent fails on step 8 of 10, resume from step 7 without restarting the full workflow.
Deterministic Crash Recovery
Strict two-phase commit (2PC) ACID guarantees allow rolling back partially executed state mutations cleanly when unexpected exceptions occur.
Integrated Cosine Embeddings
Recall relevant past agent episodes and facts via high-dimensional vector cosine distance indexed directly in the storage engine.
Zero Server Roundtrips
Runs natively inside your application binary or in-browser via OPFS (Origin Private File System), delivering sub-millisecond local reads without external cloud latencies.
Why Now? AI is Moving From Answers to Actions.
Software used to just answer questions. Now it can act on them.
Traditional AI: Prompt → Response
The model generates text or code in a chat window. If the output has errors, a person edits it. Nothing happens on its own.
Agentic AI: Goal → Reason → Tool → Action
The agent calls tools on its own, changes data, commits code, and provisions infrastructure. If it gets something wrong, that mistake can hit production.
Joltrin is infrastructure for that shift.
Once agents take real actions, companies need durable state, authorization, verification, policy, and a way to recover when something goes wrong. Joltrin provides that foundation.
Who is Joltrin For?
Engineered for teams building and deploying consequential autonomous AI systems.
AI Engineering Teams
Build reliable, long-running agent workflows with durable memory checkpoints and deterministic recovery across LLM calls.
DevOps & SRE Teams
Deploy autonomous agents that safely interact with production infrastructure, Kubernetes clusters, and cloud APIs without unverified actions.
Security & SecOps
Enforce mandatory policy guardrails and retain immutable, tamper-evident audit trails before agents execute high-privilege commands.
Enterprise Platform Teams
Provide standardized, governable agent memory, tenant isolation, and Okta / Entra ID identity binding across engineering groups.
AI Startups & Product Builders
Ship production-grade agent products immediately without reinventing persistence, rollback logs, vector lookups, and security barriers from scratch.
The Complete Joltrin Value Stack
From single-agent verification to multi-workspace governance and managed cloud coordination.
Client-side zero-server WebAssembly engine. Strict ACID transactions, vector cosine search, microsecond benchmarks, and durable agent memory.
Distributed Systems Survival Simulation. Scale worker swarms, crash storage nodes, trigger transaction storms, and watch self-healing in real time.
The MCP/A2A Safety Check, Clickable. The exact ai/verify barrier gating tools/mcpserver. Test blocking an agent before it drops a production database.
Under the Hood: High-Performance Embedded Engine
Joltrin isn't just a thin wrapper around an LLM. Underneath the agent layer is a real storage engine: copy-on-write B-trees, write-ahead logging, strict two-phase-commit ACID transactions, and Reed-Solomon erasure coding, compiled to native Go and to WebAssembly so it can run in the browser too.
In-Memory B-Tree Financial Ledger
Real-time balances stored in local B-Tree nodes.
Execute ACID Scenario
Browser WAL & Execution Log
Open Core. Enterprise Governance. Managed Infrastructure.
The database and core agent infrastructure stay open and free to use. Teams and enterprises pay for governance, collaboration, and, eventually, managed infrastructure.
1. Bottom-Up Adoption
Free, MIT-licensed embedded storage and verification engine. Zero-dependency Go library and WebAssembly binary that any AI engineer can embed in minutes.
- Zero server overhead
- Embed in any agent runtime
- Client-side OPFS persistence
2. Team Governance ($49/mo)
Multi-tenant workspace controls, audit logging, and rate limiting. Pay with a card through Stripe and you're set up in minutes.
- Automated Stripe billing
- Multi-tenant workspace isolation
- Team audit logs & telemetry
3. Enterprise & Cloud (Custom)
Okta & Entra ID SSO, compliance exports, custom CEL policy rules, and dedicated support.
- Enterprise SSO (Okta/Entra)
- SOC 2/HIPAA compliance exports
- Direct engineering support
Pricing
The core engine is free and open source forever under the MIT license. Commercial tiers provide team governance, enterprise identity, compliance logging, and dedicated support.
For developers, researchers, and open-source projects embedding transactional agent state locally.
- Embedded B-Tree storage engine
- Strict serializable ACID transactions
- High-dimensional vector similarity index
- Client-side OPFS browser persistence
- WASM & native Go library
- Zero server or cloud dependencies
- GitHub community support
For engineering teams deploying reliable agentic workflows that require policy controls and governance.
- Everything in Open Source, plus:
- Multi-tenant workspace management
- Automated Stripe subscription billing
- Customer self-service billing portal
- Team audit logging & telemetry
- Rate limiting & policy verification gates
- Standard email & priority issue support
For organizations deploying agents into environments with real compliance requirements: SSO, audit trails, and dedicated support.
- Everything in Pro, plus:
- Okta & Microsoft Entra ID (OIDC) SSO
- Advanced hierarchical RBAC & space isolation
- Custom CEL policy invariants & gates
- Immutable audit trails & compliance exports
- Direct architecture reviews with our team
- Priority incident support
Deploy Autonomous AI Agents Without Giving Up Control
Here's what that actually means in practice.
Cryptographic Agent Identity
Every agent is assigned a distinct cryptographic identity and token bound to your enterprise IdP (Okta or Entra ID). No anonymous, untracked tool executions.
Declarative CEL Policy Engine
Define organizational boundaries in Common Expression Language (CEL). Enforce rate ceilings, tool permission scopes, and forbidden parameter patterns before runtime.
Pre-Action Verification Barrier
Every tool invocation passes through a deterministic barrier. Destructive operations (DROP TABLE, mass transfer, credential reads) are intercepted before touching real targets.
Tamper-Evident Audit Ledger
Append-only, cryptographically signed ledger capturing every reasoning step, tool invocation, and state transition for forensic accountability and incident review.
Multi-Tenant Space Isolation
Strict workspace and memory namespace boundaries guarantee that proprietary data, credentials, and conversation memories are strictly separated between teams and tenants.
Continuous Compliance Readiness
Export structured compliance audit bundles formatted for SOC 2 Type II, HIPAA, and GDPR audit workflows. Stream lineage events directly to your SIEM or Datadog.
Tell Us What You're Building
A few details about your agents and what you need, and we'll follow up personally.
Ready to Make Your AI Agents Safe, Durable, and Governable?
Whether you're embedding a transactional database in a single agent or governing a whole fleet of them, Joltrin gives you the reliability and verification layer underneath.