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Compare/little-coder vs UniHarness

little-codervsUniHarness

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

little-coder
Itay Inbar · Agent harness
OSS
Panel
6.1
4 spec wins
Reliability
5.3
Usefulness
6.2
Cost
7.8
Longevity
5.2

“It can dispatch sub-coders, so the small model that could not finish the task alone now cannot finish it in parallel.”

UniHarness
UnicomAI · Agent harness
OSS
Panel
6.1
2 spec wins
Reliability
6.0
Usefulness
5.8
Cost
7.5
Longevity
5.0

“Formerly HexAgent, now UniHarness: two names, one repository, and zero downloads in the week anyone last checked.”

Spec by spec

Speclittle-coderUniHarness
Architecture
CategoryAgent harnessAgent harness
Runslocallocal
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientNoNo
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsNoOnly read-only git commands appear on the bash safe-prefix whitelist; no commit, branch or pull request feature is documented. No
Browser controlYesThrough a bundled Playwright extension with navigate, click, type, scroll and extract tools. No
Sandboxed executionNoYes
Multi-agent orchestrationYesNo
Headless / CI modeNoA one-shot positional prompt is documented, but no exit-code contract or CI usage is. Yes
Models
BackboneQwen, Anthropic, OpenAI, any OpenAI-compatible endpointOpenAI, multiple providers
Bring your own modelYesYes
Local modelsYesDocumented for llama.cpp, Ollama, LM Studio, MLX and LAN base URLs, configured per model in models.json; the default model is a llama.cpp-served Qwen. No
Cost
Pricing modelbyokbyok
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0MIT
GitHub stars2,638142

Which one would each critic pick

Criticlittle-coderUniHarnessPick
El Juez——not enough reviews
El Amigo6.36.3no preference
El Crítico6.05.8little-coder — Correctness rests on a stack of compensations, write and read guards, output repair, thinking-budget caps and per-model profiles, each one covering for the model underneath.
El Profesor6.87.3UniHarness — A protocol separates the runtime from the machine it drives, and the runtime's keys, configuration and source are kept outside what the agent can read.
La Inversora5.05.3UniHarness — A hundred and thirty-nine stars and a corporate author, with no hosted product, no pricing and no visible commercial reason for the work to continue.
La Jefa4.85.3UniHarness — Free across sixty engineers and able to run unattended, but the confined remote target is a third-party service, which is a supplier my security review has to process.
El Hacker8.06.8little-coder — Apache-2.0, and models.json takes llama.cpp, Ollama, LM Studio, MLX or a base URL on my LAN, with a llama.cpp-served Qwen as the default.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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