Instructions file CodexOpenCode
AGENTS.md instructions for Lolaplex/agents-memory, covering agent install (this repo), procedure and done when.
Instructions file CodexOpenCode
AGENTS.md instructions for Lolaplex/agents-memory, covering agent install (this repo), procedure and done when.
Instructions file
Claude Code instructions for Lolaplex/agents-memory, a project described as: Local markdown memory & cross-agent context engine for AI coding assistants (MCP + injection).
Skill Claude CodeCodex
Destilliert rohe Staging-Inbox-Bullets (staging/captured.md) in bleibende, getypte Memory-Dateien. Verwende diesen Skill, wenn der User 'distill', 'Staging aufräumen', 'Inbox abarbeiten', 'Memory verdichten' sagt oder nach einem Ingest-Lauf oder Staging-Nag.
Skill Claude CodeCodex
Audits and updates local agent memory. Scans configured coding folders, registers or ignores new projects, writes PROJECTS.md, syncs your Agent injection. Use when the user says Bestandaufnahme, memory sync, neues Projekt, inventory, Projekte updaten, register project, or wants agents to know a new repo path.
Instructions file CodexOpenCode
AGENTS.md instructions for Lolaplex/agents-docs, covering agents.md — agents-docs developer guidelines, architecture principles and commands.
Instructions file
Claude Code instructions for Lolaplex/agents-docs: See AGENTS.md and abi/. Run tests: python tests/runalltests.py Sync bundled: python scripts/syncbundled.py.
Skill Claude CodeCodex
Search local framework documentation (Svelte 5, FastAPI, Tailwind, Tauri, Next.js, Supabase) and AI Models documentation (Claude 3.7/3.5, GPT-4.5/o1/o3, Gemini 2.0/3.0, DeepSeek V3/R1, Qwen 2.5 Coder, benchmarks, pricing, routing) via agents-docs MCP before guessing API methods or hallucinating stale model knowledge.
Skill Claude CodeCodex
Synchronize and maintain fresh framework documentation in /.agents/docs/ using agents-docs catalog or custom URLs.
MCP server Claude CodeCodexCursor
Ultra-fast, zero-bloat local markdown documentation RAG for AI coding agents via MCP. Runs locally from the agents-docs Python package.