Trigora, Inc.
Trigora is a durable execution platform for long-lived AI agents and programs. It lets supported TypeScript, Python, and Rust programs suspend at durable boundaries and recover from committed continuation state without replaying completed execution history.
At a Glance
- AI engineers and AI developers building persistent agents
- Software teams building long-running event-driven applications
- Teams needing managed durable execution infrastructure
- Organizations embedding an execution engine in their own infrastructure
AI Tools by Trigora, Inc.
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Trigora
Durable Execution for AI Agents
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Latest News
TCC Engine 26.10.3 released with CPython 3.13 and 3.14 wheels
TCC Engine documentation presented the public engine for its first CalVer release
Trigora published 'Durable execution without history replay' and opened a call for 3–5 design partners
Trigora published the Transparent Continuation Checkpointing technical report
Products & Services
Managed production platform for deploying Programs, running Executions, and handling durable recovery. It provides deployment/versioning, events and timers, cron and webhook triggers, secrets, execution inspection, observability, API tokens, persistence, and recovery.
Portable Rust-based compiler and runtime for Transparent Continuation Checkpointing, buildable natively and to WebAssembly and embeddable with a host that supplies persistence, effects, events, and scheduling.
Authoring SDKs and API clients for TypeScript, Python, and Rust plus the trigora CLI for project initialization, local development, deployment, and execution management.
Market Position
Trigora positions TCC as an alternative to replay-based durable-execution architectures: it commits a resumable continuation containing the live state and program position, then restores it directly instead of reconstructing the current position by replaying retained history. Its technical report identifies Temporal as a mature industrial example of the replay model and emphasizes that TCC targets long-running, dynamic programs and agents; it does not claim constant-time recovery or universal language support.
Leadership
Founders
Omar Abdelrahman
Co-founder and CEO of Trigora; his public profile describes him as building durable execution for long-running AI agents.
Executive Team
Omar Abdelrahman
Co-founder & CEO
Public professional-profile results identify him as Trigora's co-founder and CEO, building durable execution for long-running AI agents.
Founding Story
Trigora first operated as a hosted control plane for webhook, cron, and queue workflows. Operating that system led the team to conclude that reconstructing long-running, branching programs from retained history was the wrong primitive, motivating continuation checkpointing and the TCC architecture.
Business Model
Revenue Model
Trigora Cloud uses usage-based metering for execution compute, durable operations, and durable storage; it also offers a monthly Pro plan, a custom Enterprise plan, and commercial/self-hosted licensing terms for TCC Engine where applicable.
Pricing Tiers
For trying Trigora and small workloads; approximately 167K durable operations per month and $5 monthly usage included; no overages.
Up to 2M durable operations per month; includes $60 usage credit, no execution-count cap, metered usage beyond the credit, and priority support.
For teams starting at 20M+ durable operations per month; negotiated usage, support, custom limits, 99.99% uptime SLA, and dedicated support/onboarding.
Target Markets
- AI engineers and AI developers building persistent agents
- Software teams building long-running event-driven applications
- Teams needing managed durable execution infrastructure
- Organizations embedding an execution engine in their own infrastructure
- Long-running AI agents
- Programs that call models, tools, APIs, and external systems
- Human-approval and external-event workflows
- Executions lasting hours or days
- Dynamic branching and child-agent coordination
- Webhook, cron, and queue-driven workflows