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1.0.rc1 - Experienced LLMs
Pre-release
Pre-release
Experienced LLMs 1.0.rc1: Autonomous Memory & Operational Wisdom for AI Coding Agents
First release candidate of Experienced LLMs — an autonomous, self-learning cognitive memory system for AI coding agents.
Key Capabilities
- Zero-Token Intraday Collector: Deterministic, offline, append-only logger (
~/.experienced-llms/raw_days/YYYY-MM-DD.md+ SQLitememory.db) recording actionable Reason -> Outcome heuristics. - Inter-Day Cognitive Consolidator: Autonomous scheduled daemon (02:00 AM) that deduplicates facts, resolves contradictions, and compiles the authoritative
~/.experienced-llms/EXPERIENCE.md. - Universal Multi-Agent Support: Out-of-the-box integration with Antigravity, Claude Code / Desktop, GitHub Copilot, Cursor, and Pi / generic agents via
AGENTS.md. - One-Click Cross-Platform Installers: Fully automated setups via
install.sh(Linux/macOS/WSL) andinstall.ps1(Windows with automatic WSL bridging and CLI shim). - Pluggable LLM Backends: Support for Google Gemini, Anthropic Claude, OpenAI, and local Ollama — complete with a deterministic offline fallback when no API key is configured.
- Battle-Tested Concurrency & Archiving: SQLite WAL mode with busy timeout handling, direct CLI import path resolution, and automatic raw log archiving.
One-Click Installation
# Linux / macOS / WSL
curl -fsSL https://raw.githubusercontent.com/developer88/experienced-llms/main/install.sh | bash
# Windows PowerShell
irm https://raw.githubusercontent.com/developer88/experienced-llms/main/install.ps1 | iexFull Changelog: https://github.com/developer88/experienced-llms/commits/1.0.rc1