Jakubantalik
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thinking-orbs
A React component library that renders six hand-tuned animated thought orb loading indicators on a plain 2D canvas, with two purpose-tuned sizes and automatic theme detection for AI and agent UIs.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It gives coding agents a fast, semantically searchable session memory with a local daemon, deterministic compact summaries, and optional AI enrichment, while remaining non-blocking and fail-open.
Who it is for
- Developers running long Claude Code or Codex agent sessions
- Teams that want to resume or hand off coding session context across terminals or machines
- Moss users looking for session memory and persistence
- Maintainers of AI coding workflows who want to reduce redundant agent exploration
Use cases
- Recall previously inspected files and functions before an agent re-reads them
- Resume a named Moss session in another terminal, conversation, or machine
- Track commands, edits, explorations, and decisions in a session status dashboard
- Reduce token spend and latency in long agentic coding sessions
Strengths
- Local hot path via a long-lived daemon with real-time Moss SessionIndex updates
- Deterministic file, edit, command, and decision summaries work without an LLM
- Non-blocking reminders never deny, rewrite, or auto-approve tool calls
- Optional OpenRouter enrichment is off by default and asynchronous, with graceful degradation
Considerations
- Current daemon uses a Unix socket, so Windows is not supported
- Semantic query, push, and cross-machine resume require Moss credentials; the local mirror is not semantic search
- Codex PreToolUse systemMessage is user-visible but not guaranteed to be injected into model context
README quick start
Installation
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