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1.0.rc1 - Experienced LLMs

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@developer88 developer88 released this 26 Sep 22:01
· 24 commits to main since this 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 + SQLite memory.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) and install.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 | iex

Full Changelog: https://github.com/developer88/experienced-llms/commits/1.0.rc1