Omnara vs Tessary
Omnara and Tessary are both developer tools tools aimed at developers and small businesses. Both have a free plan.
Open-source platform for running durable AI agents on any model
Open-source monitoring that finds why production AI agents fail
| Pricing | Open source | Open source |
| Starting price | Not published | Not published |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Built for | Developers, Small businesses, Enterprise | Developers, Small businesses, Enterprise |
| Platforms | web, macos, linux | web, linux |
| Country | US · 2025 | — |
| Rating | — | — |
Choose Omnara if
Engineering teams that want hosted or self-hosted agent infrastructure with their own models, machines and data.
- Apache 2.0 code that you can self-host on one machine with Docker Compose
- No platform or per-seat fees on the hosted cloud
- Not tied to one model vendor or one sandbox provider
Look elsewhere if: Teams that want a no-code agent builder or are happy staying on one vendor's hosted agents (Relevance AI, Claude).
Choose Tessary if
Engineering teams running AI agents in production with OpenTelemetry traces who want every trace checked and failures explained.
- Apache 2.0 open source with free self-hosting
- Checks every trace instead of a sampled subset
- RCA links failures to specific commits when a repo is connected
Look elsewhere if: Teams that want a mature, fully supported observability suite or an eval-first workflow (Datadog, Braintrust).
Omnara vs Tessary pricing
Omnara
- Self-host$0Apache 2.0 open source, runs with Docker Compose
- Self-serve$0No platform or seat fees; pay as you go for managed resources
- Managed machines$0.0414/GiB-hourActive runtime; retention $0.20016 per GiB per 30 days
- EnterpriseCustomYour cloud or on-prem, SSO, audit logs, custom SLAs
Tessary
- Open Source$0Self-host with Docker Compose; all core features
- Cloud Free$010k traces/mo, 1 GB, 30-day retention, $10 one-time RCA credit
- PaidCustomCustom classifiers, managed dedicated instance, Slack support
Omnara · Key features
- Agents created from a YAML config or a single API call
- Durable append-only event log in Postgres that survives crashes and restarts
- omnarad daemon connects any macOS or Linux machine with no inbound ports
- Machine pools from Daytona, E2B, Modal, Blaxel, Unikraft Cloud and others
- Any model via OpenAI, Anthropic, OpenRouter or a compatible endpoint
- Per-tool permission modes with human approval for risky calls
Cons
- Small four-person team and a newly rebuilt product
- Usage-based token and machine billing is harder to forecast
- Self-hosting means running Postgres, Redis, blob storage and the control plane
Tessary · Key features
- Classifiers run on every production trace with no sampling
- Built-in checks for drift, tool errors, secret leaks and malformed output
- LLM triage groups real deviations into trackable cases
- Root-cause analysis over failing traces and your GitHub repository
- OTLP ingestion over HTTP and gRPC with OpenTelemetry gen_ai conventions
- PII redaction before traces are stored
Cons
- Very new project with a short track record
- Paid plan prices are not published
- Frustration classifier requires your own OpenRouter or TypeSafe key
Omnara vs Tessary: FAQ
Do Omnara and Tessary have a free plan?
Yes, both Omnara and Tessary have a free plan; paid plans add more usage and features.