agenticempire/axint
Apple-native execution layer for AI coding agents: compile, validate, repair, and prove Swift surfaces.
Repository profile
Bilig WorkPaper: headless spreadsheet formula engine and MCP server for Node agents: complete spreadsheet work autonomously
Tracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-06-19 22:53
1 capture since 2026-06-19
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-06-19 22:53
package.json
javascript ecosystem,
25 dependencies
pnpm-lock.yaml
javascript ecosystem,
0 dependencies
apps/bilig/package.json
javascript ecosystem,
22 dependencies
apps/web/package.json
javascript ecosystem,
32 dependencies
examples/airbyte-workpaper-validation/package.json
javascript ecosystem,
4 dependencies
examples/airflow-workpaper-dag/package.json
javascript ecosystem,
4 dependencies
examples/airflow-workpaper-dag/requirements.txt
python ecosystem,
1 dependency
examples/dagster-workpaper-asset/package.json
javascript ecosystem,
4 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
18 more config paths detected.
Showing the first 24 paths. 20 more detected.
Nearest indexed repositories by embedding similarity.
Apple-native execution layer for AI coding agents: compile, validate, repair, and prove Swift surfaces.
Your coding agent is editing blind. agent-lsp gives it type-aware navigation, blast-radius analysis, and pre-verified edits. 50 tools, 21 skills, 30 languages.
Turn ad-hoc Claude Code / Codex / Cursor sessions into a repeatable loop — research → plan → wave-execute → close. Parallel sub-agents, inter-wave quality gates, dual GitHub+GitLab integration, F2 Memory + Persona-Panel + gsd-Pattern Adoption. 37 skills · 18 commands · 13 agents · 7360 tests.
How real engineers run Claude Code and Codex: spec-driven planning, enforced TDD, persistent memory, and quality enforcement on all levels. Make your agents production-ready.
The Best AI Agent Framework for Agent Collaboration.
The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual review, state-machine gates that survive context compaction, and fail-closed safety where it counts. Quality gates that AI can't skip.