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Omnara

#98 agent harnessunverified row1.0.21

Open-source platform for running managed agents, handling execution and state while you choose models, tools and machines

Key differences

Open-source platform for running managed agents, handling execution and state while you choose models, tools and machines

  • Runs cloud and sandbox and local. Apache-2.0 and self-hostable, or run it on Omnara Cloud; models are billed by whichever provider you configure
  • Includes a Docker sandbox. Listed for 48 of 194 tools in this category.
  • Supports headless CI workflows. Listed for 60 of 194 tools in this category.
  • Keep in mind: Any compatible endpoint is accepted, and Ollama is named explicitly.

“Your agent is a YAML file with a machine, a model and a Slack account, which is more onboarding than most contractors get.”

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What it is

Omnara takes an agent profile in YAML — instruction, model, tools, MCP servers and machines — and runs it, handling execution and state so the calling application only decides who may use the agent and how its output reaches users. Machines can be sandboxes from Blaxel or Daytona or your own, and models can be any endpoint speaking OpenAI Responses, OpenAI Chat Completions or Anthropic Messages, including OpenRouter, LiteLLM and Ollama. It runs on Omnara Cloud or self-hosted under Apache-2.0, with a dashboard and a Slack connector.

Specification

Source verification

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overview
Needs individual review
docs
Needs individual review
install
Needs individual review
models
Needs individual review
pricing
Needs individual review

Architecture

Type
Agent harness
Runsunsourced
cloud, sandbox, local
Platforms
linux, web
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
OpenAI, Anthropic, OpenRouter, LiteLLM, Ollama
Bring your own model
Yes
Local models
Yes
Any compatible endpoint is accepted, and Ollama is named explicitly.

Protocols

MCP clientunsourced
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandsunsourced
Yes
Multi-file edits
No
Git operations
No
Browser control
No
Sandboxed execution
Yes
Machines are sandboxes supplied by Blaxel or Daytona, or your own.
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
n/a
Free tier
Yes
Bring your own key
Yes

Apache-2.0 and self-hostable, or run it on Omnara Cloud; models are billed by whichever provider you configure

Openness

Open sourceunsourced
Yes
License
Apache-2.0
First release
2025-07
harnessmanaged-agentssandboxself-hostedmcp

Los Agentes on Omnara

Who are they?
The ruling
El JuezThe judge

El Crítico's 5 for reliability and El Hacker's 9 for cost turn on the same clause: the machines your agents run on belong to somebody neither of them picked.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Hacker likes what he can control: the licence, the endpoint, the profile file. El Crítico points at what he cannot, which is that the execution environment is supplied by third-party sandbox vendors named in the documentation. El Profesor sits between them and notes that the separation making this useful is exactly the separation that hides the runner.

El Hacker wins for anyone self-hosting onto their own machines, because that clause is optional and he takes the option. El Crítico wins for anyone using the defaults, and there he is not overruled at all. Adopt with conditions: name the machine yourself, or accept a second supplier in your incident chain.

Agree with El Juez?
El AmigoThe friend

Pick Omnara when you want an agent defined in a file your team can review; pick Letta if you care more about what the agent remembers than about how it is deployed.

7.0
Reasoning and trade-offs · AI analysis

The deciding trait is that the agent is a document. Instruction, model, tools and machines live in one profile, so changing behaviour is a pull request with a diff somebody can argue with, rather than a setting somebody changed in a console at eleven at night. That single property fixes most of the operational chaos agents cause in a team.

What you give up is spontaneity: everything goes through the file. Pick it when agents are shared. Pick Letta when the interesting problem is memory rather than governance.

reliability
7
usefulness
7
cost
8
longevity
6
Agree with El Amigo?
El CríticoThe critic

The machines that run your agents are sandboxes from Blaxel or Daytona unless you supply your own, so the isolation boundary is a supplier you did not evaluate.

6.0
Reasoning and trade-offs · AI analysis

The risk is an unexamined dependency. Execution environments are documented as coming from two named third-party providers, or from you, and the default path is theirs. That means an outage, a policy change or a breach at a company you never contracted with lands inside your agent platform, and the documentation treats this as a configuration detail rather than a supply-chain decision.

What it does right is declaring it. The machine is a field in the profile, named and visible, rather than an implementation detail discovered during an incident.

reliability
5
usefulness
6
cost
7
longevity
6
Agree with El Crítico?
El ProfesorThe professor

The design point is that execution and state are handled by the runtime, leaving the caller with only authorisation and delivery, which is a clean and unusual boundary.

6.8
Reasoning and trade-offs · AI analysis
  1. The interface is narrow by construction: an application decides who may invoke an agent and where the output goes, and everything between is the platform's problem. That is the correct division, because session and state management is where most homegrown harnesses rot.

  2. Model compatibility is defined by wire protocol rather than by vendor, with three named request shapes accepted, so the abstraction survives a provider change. 3. No evaluation is published, and the design makes no claim that would require one.

reliability
7
usefulness
7
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

Permissive core, a hosted cloud beside it, and no published price, which means the pricing experiment has not started and the burn is somebody's seed round.

6.3
Reasoning and trade-offs · AI analysis

The open runtime is the distribution and the cloud is meant to be the business, but no rate card exists yet, so nobody has tested what a team will pay for managed execution when the code to run it themselves is right there. That is the hardest version of this model to make work, and the permissive licence gives away the leverage that usually solves it.

Moat: operational convenience, which erodes as competitors ship the same. Likely path: an enterprise control-plane tier, or absorption by a sandbox vendor. Position: self-host it, and let somebody else fund the cloud.

reliability
6
usefulness
6
cost
7
longevity
6
Agree with La Inversora?
La JefaThe CTO

Sixty engineers can share one self-hosted deployment at no licence cost, runs happen without a person present, and a Slack connector puts the output where work already is.

6.8
Reasoning and trade-offs · AI analysis

This is closer to something I can operate than most of the open projects I see. One deployment serves everyone, so provisioning is central rather than sixty laptops, and unattended execution means jobs can be scheduled and attributed instead of run by whoever remembered. Output arriving in chat is not a gimmick; it is where review already happens.

What I do not have is a written answer on retention, identity federation or a support commitment. Approved with conditions: our own infrastructure, our own model account, and a named internal owner before anyone outside the platform team touches it.

reliability
6
usefulness
7
cost
8
longevity
6
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0, `npx omnara login` and you are running, MCP servers are a field in the profile, and Ollama is a first-class provider.

7.8
Reasoning and trade-offs · AI analysis

The configuration surface is a file I can keep in dotfiles, and the fields I care about are all in it. MCP servers are declared per agent rather than globally, which means an agent's tool reach is something I version rather than something I remember. Ollama is named as a provider, so a run can happen entirely on my own hardware with nothing leaving the box.

Permissive licence and a readable stack mean a fork is real. This is one of the few harnesses here I would actually put on my own server.

reliability
8
usefulness
7
cost
9
longevity
7
Agree with El Hacker?