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Shannon

#70 agent harnessunverified rowv0.5.1

Multi-agent orchestration platform built on Temporal, with token budgets, human approvals and a WASI sandbox for code execution

Key differences

Multi-agent orchestration platform built on Temporal, with token budgets, human approvals and a WASI sandbox for code execution

  • Runs local and sandbox. Free and open source under MIT; you supply at least one LLM provider key or run local models
  • 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: Code execution is isolated in a WASI sandbox inside the Rust agent core, and the whole stack ships as Docker Compose services.

“It arrives as a Docker Compose stack with a workflow engine and a policy engine, so your agent framework now needs its own platform team.”

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What it is

Shannon runs agent workflows as Temporal workflows, so any execution can be replayed step by step for time-travel debugging, and pairs that with hard token budgets per task and agent, automatic model fallback, human approval steps and multi-tenant isolation enforced by OPA policies. Generated code runs inside a WASI sandbox in a Rust enforcement gateway. It installs as a Docker Compose stack and works with OpenAI, Anthropic, Google, DeepSeek, xAI or local models through Ollama, LM Studio or vLLM.

Specification

Source verification

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overview
Needs individual review
install
Needs individual review
models
Needs individual review
capabilities
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local, sandbox
Platforms
macos, linux
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
OpenAI, Anthropic, Google, DeepSeek, xAI, Ollama, LM Studio, vLLM
Bring your own model
Yes
Local models
Yes

Protocols

MCP clientunsourced
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
No
Git operations
No
Browser control
No
Sandboxed execution
Yes
Code execution is isolated in a WASI sandbox inside the Rust agent core, and the whole stack ships as Docker Compose services.
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelunsourced
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under MIT; you supply at least one LLM provider key or run local models

Openness

Open sourceunsourced
Yes
License
MIT
First release
2025-08
harnessorchestrationtemporalwasi-sandboxobservabilitymcp

Los Agentes on Shannon

Who are they?
The ruling
El JuezThe judge

El Profesor's 9 for replayable execution and La Inversora's 5 for survival are the two facts a buyer has to hold at once: excellent engineering, no company.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Profesor rates the architecture at the top of this panel because a workflow that can be replayed step by step is debuggable in a way agent systems almost never are. La Inversora rates durability at 5 because a permissive licence from a small lab is not a supplier. La Jefa, unusually, sides with El Profesor: the governance features she normally begs for are already here.

El Profesor and La Jefa carry it, and La Inversora is overruled on adoption while being upheld on planning: you own this the moment you deploy it. El Crítico's isolation limit is the condition. Adopt with conditions: keep anything needing real host access outside the sandbox and say so.

Agree with El Juez?
El AmigoThe friend

Pick Shannon when agent spend is your actual problem, because budgets are enforced per task; pick VoltAgent if you want something lighter to stand up.

7.0
Reasoning and trade-offs · AI analysis

The deciding trait is hard token budgets set per task and per agent. Not a warning, not a dashboard you check afterwards, a ceiling the run cannot cross. If you have ever discovered an agent's cost by reading an invoice, you will understand why that single feature outranks most of what this category advertises.

The price is setup: this is a stack you deploy, not a package you import. Pick it when agents already cost you money. Pick VoltAgent when you are still finding out whether they will.

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

Generated code executes inside a WASI sandbox, which is a strong boundary and a narrow one: anything needing real filesystem or network access falls outside the guarantee.

6.5
Reasoning and trade-offs · AI analysis

The containment is genuine and it constrains what the agent can usefully do. WebAssembly execution cannot reach the host directly, so the class of task this safely covers is computation rather than operations, and anything touching real infrastructure has to leave that boundary through a path the documentation does not fully describe. The guarantee is precise; its coverage is not.

What it does right is degradation. Model fallback is automatic, so a provider outage produces a slower answer rather than a failed workflow.

reliability
6
usefulness
6
cost
8
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Running agent workflows on a durable execution engine makes every run replayable step by step, which turns debugging from archaeology into reproduction.

7.8
Reasoning and trade-offs · AI analysis
  1. This is the most defensible design decision on the board. Because the orchestration layer records and replays deterministically, a failed run can be re-executed to the exact step that went wrong, which is the property every other agent system substitutes logs for. 2. It also survives model changes, since the replay concerns control flow rather than generation.

  2. No evaluation is published, and the architectural claim does not require one, because reproducibility is verifiable by using it.

reliability
9
usefulness
7
cost
8
longevity
7
Agree with El Profesor?
La InversoraThe investor

A small lab, a permissive licence, 2,229 stars and no price anywhere, which means there is no business to fail and nobody obliged to keep shipping.

6.0
Reasoning and trade-offs · AI analysis

The engineering here is more sophisticated than the commercial position, which is a familiar and slightly sad combination. Nothing is sold, so nothing funds maintenance beyond whatever the authors want to do, and a stack this ambitious carries real ongoing cost in dependency upgrades alone.

Moat: none commercially; the design is the reputation asset. Likely path: an acqui-hire of the authors by an orchestration or observability vendor, or a slow freeze. Position: deploy it with your eyes open, budget for maintaining it yourself, and treat every upstream release as a bonus rather than a plan.

reliability
5
usefulness
6
cost
8
longevity
5
Agree with La Inversora?
La JefaThe CTO

Multi-tenant isolation is enforced by policy rules and destructive steps require human approval, which is the first open project this quarter that anticipated my questions.

7.3
Reasoning and trade-offs · AI analysis

Tenancy separation expressed as policy, rather than as a convention engineers are asked to respect, is what lets one deployment serve sixty developers across teams without me writing the separation myself. Approval steps for consequential actions are built in, so the control I would otherwise bolt on is already part of the workflow definition.

Licence cost is nothing and it executes unattended, so it can carry scheduled work with records attached. The gap is a supplier: support is a repository. Approved with conditions: my platform team owns the deployment and the upgrade path.

reliability
7
usefulness
7
cost
9
longevity
6
Agree with La Jefa?
El HackerThe tinkerer

MIT, one install script, MCP client support, and Ollama, LM Studio or vLLM as providers, so the whole thing runs with nothing leaving the machine.

7.8
Reasoning and trade-offs · AI analysis

Three local serving options named explicitly is a serious commitment rather than a checkbox, and it means I can run this air-gapped with the models I already have on disk. MCP servers attach, so the tools I maintain come along. Permissive licence, so the fork is mine and stays mine.

The Rust enforcement layer is the part I would read first, because that is where the interesting decisions live and it is small enough to actually read. This is the rare project where the security design was not an afterthought bolted on for a launch post.

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