Ross ROSS = Recommend OSS · open-source software intelligence for agents

deer-flow/llm-space

A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents. observed · 2026-08-28

github.com/deer-flow/llm-space · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 99
  • Release rhythm 98
  • Longevity 4

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 1
  • age_days: 66
  • days_rel: 14
  • days_push: 11
  • n_releases_24m: 30

Full methodology

Adoption not part of the score

1712 stars · 181 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LLM Space is a local-first desktop application for building, tracing, debugging, and evaluating LLM agents. It lets developers prototype agent ideas, inspect every harness step, replay failures, and measure agent performance in one place.

Use cases

  • prototype new LLM agent ideas
  • inspect every step of agent harness execution
  • replay failed agent runs to find bugs
  • evaluate agent performance across runs
  • manage agent threads as local files
  • turn a conversation thread into a runnable LangGraph agent

When to choose

  • you are building or debugging LLM agents and want full visibility into each model call and tool run
  • you want a local-first tool where prompts, API keys, and threads stay on your machine
  • you need to replay and step through past agent runs to diagnose failures
  • you want to benchmark and evaluate agent behavior across multiple runs

When to avoid

  • you need a production agent deployment platform rather than a development and debugging environment
  • you require a fully web-based or team-hosted solution with no desktop app
  • you are not working with LLM agents or harness-based workflows

Facets

application · maturity active

agent-framework llm-inference developer-tools prompt-engineering testing large-language-models developer-tools cross-platform agent-debugging trace-inspection local-first llm-harness agent-evaluation electrobun ai-agents desktop

2 sources

Member repositories

RepositoryRoleHealth v2
deer-flow/llm-spacemain80

For agents

markdown · JSON · MCP: product_card(name="deer-flow/llm-space")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem