Foci — AI skill for Claude Code
openclaw-like ai agent platform.
How to install Foci
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open richardtkemp/foci and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Foci does
openclaw-like ai agent platform. Written in go for speed and memory-efficiency. Supports claude code as backend, or APIs. Protects your secrets from being read by your agents or otherwise leaked!
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README
Foci
**One binary. ~35 MB idle. No framework.**
AI agents on Telegram and Discord, written in Go.
[Quick Start](#quick-start) · [Design](#design) · [Docs](#documentation)
Inspired by [OpenClaw](https://github.com/openclaw/openclaw), built from scratch in Go — single binary, cache-first, with OS-level secret isolation. Session branching, tool piping, and coding agent orchestration go well beyond the original. Built for Anthropic, but any OpenAI-compatible endpoint works.
Quick Start
git clone https://github.com/richardtkemp/foci.git && cd foci && sudo make setupSee [docs/INSTALL.md](docs/INSTALL.md) for prerequisites, options, and next steps.
Background
OpenClaw is the established, full-featured choice in this space — broad provider support, native apps on every platform, a marketplace of 13,000+ skills, and a large community. Foci makes different bets. Where OpenClaw optimizes for breadth, foci optimizes for depth: cache-aware prompt architecture, OS-level secret isolation, and a codebase small enough that one person can audit the whole thing. See [docs/COMPARISON.md](docs/COMPARISON.md) for a detailed feature comparison.
| OpenClaw | Foci | |
|---|---|---|
| Runtime | Node.js + TypeScript | Go, single binary |
| Memory | ~500MB+ idle | ~35 MB |
| Dependencies | ~560 packages (594MB) | 22 direct modules |
| Startup | Seconds (transpile + boot) | Instant |
| Config | YAML + env + scattered files | One TOML file |
| Cache strategy | Not cache-aware | Day-zero architectural |
Fewer moving parts means fewer surprises. Secret management follows the same principle: OS-level isolation, domain-locked credentials, redaction at every layer — protection that doesn't depend on trusting the model.
