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

spacedriveapp/spacebot

An AI agent for teams, communities, and multi-user environments. observed · 2026-08-28

github.com/spacedriveapp/spacebot · homepage · Rust · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 98
  • Release rhythm 83
  • Longevity 14

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.5
  • age_days: 203
  • days_rel: 118
  • days_push: 16
  • n_releases_24m: 25

Full methodology

Adoption not part of the score

2371 stars · 361 forks observed · 2026-08-28

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

Spacebot is an opinionated AI agent harness written in Rust for teams, communities, and multi-user environments, deployable as a single self-contained binary or via Docker. It replaces monolithic LLM sessions with specialized concurrent processes (channels, branches, workers, cortex) backed by a structured memory graph in SQLite, vector search in LanceDB, and durable goal-driven autonomy.

Use cases

  • run an AI agent in a Discord or Slack community with many concurrent users
  • self-host an AI assistant that remembers context across conversations
  • automate team workflows with goal-driven autonomous agents
  • give a chatbot persistent structured memory instead of markdown files
  • run background workers for file operations, code execution, and research
  • connect an agent to Telegram, Twitch, or email channels
  • schedule cron-driven agent tasks and notifications

When to choose

  • you need a multi-user, multi-channel agent with shared memory and process-level concurrency
  • you want a single-binary or Docker deployment with no external server dependencies
  • you want durable autonomy, skills capture, and navigable session history out of the box
  • you prefer structured state in SQLite/LanceDB over LLM-managed markdown memory

When to avoid

  • you need a permissively licensed library to embed in your own product (it uses FSL-1.1-ALv2, not OSI open source)
  • you want a minimal, unopinionated agent SDK to build custom architectures
  • you only need a simple single-user chatbot without memory or autonomy features
  • you require managed cloud-only deployment with vendor support

Facets

framework · maturity active

agent-framework chatbot llm-inference rag workflow-automation scheduling webhook self-hosted artificial-intelligence large-language-models chatbots messaging-platforms developer-tools self-hosted windows self-hosted rust agent-harness memory-graph multi-user-agents discord-bot slack-bot sqlite lancedb autonomy skills chronicles fsl-license ai-agents automation linux macos docker web-server discord telegram

4 sources

Member repositories

RepositoryRoleHealth v2
spacedriveapp/spacebotmain76

For agents

markdown · JSON · MCP: product_card(name="spacedriveapp/spacebot")

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