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@github-actions github-actions released this 02 Jul 07:08
· 105 commits to main since this release
v0.0.2
4dc7f67

🚀 agent_memory Release v0.0.2

📝 What's Changed

  • version increased to 0.0.2 (4dc7f67)
  • fix(graph): keep truncated mermaid focused on entity nodes; fold wiki-link into typed related_to edge (c531117)
  • feat(graph): meaningful node labels, dedupe typed edges, truncate long labels (0ec32c3)
  • fix(demo): per-record tags, full small graph, visible relations (5d33cb5)
  • ci: exclude demo from root dart analyze, analyze demo in deploy workflow (0f2f0c7)
  • feat(demo): dynamic OpenRouter model limits and context-aware chunking (c7ba6a8)
  • fix(demo): align raw text / VTT handling with DMTools (3d6d064)
  • fix(demo): normalize and chunk large raw text / VTT transcripts (2a97a73)
  • test(e2e): increase timeout for LLM-backed record addition (b332925)
  • feat(demo): add OpenRouter/Qwen/OpenAI/Ollama model presets in settings (1ac4a4b)
  • test(e2e): run raw text decomposition with real LLM too (e2afc4c)
  • Align agent prompts with DMTools originals and reuse KBAnalysisAgent in demo (a71cf4c)
  • refactor(demo): use DMTools KB analysis prompt 1:1 (minus FreeMarker templates) (11ba8e9)
  • test(e2e): add deterministic raw-text decomposition test and update mock schema (4b91398)
  • feat(demo): DMTools-style raw text decomposition into Q/A/notes (615060d)
  • fix(demo): render Mermaid diagram, add raw-text LLM processing, provider-agnostic E2E (24c6788)
  • test(e2e): fix mock route URL and postDataJSON usage (5b611d6)
  • test(e2e): assert LLM ready via visible text instead of aria-label (63bce3e)
  • test(e2e): mock LLM backend, longer timeouts, settings semantics (ab5b321)
  • feat(demo): image upload, LLM provider fallback, semantics, Playwright E2E (2c7230a)
  • feat(demo): sexy dark UI, full test coverage and landing redesign (07278c9)
  • feat(demo): add GitHub Pages landing + Flutter demo + deploy workflow (53c77cd)
  • feat(storage): pluggable KbStorage adapters (file, memory, sqlite, http, web) (1308bea)
  • test(integration): add realistic Ollama test for search, graph, levels and relations (15918a6)
  • feat(memory): add memory levels, typed relations and Obsidian graph (7ad515c)
  • feat: memory types, validity, LLM reranker, secret redaction + tests (e64cfc9)
  • feat: hybrid keyword+tag search and temporal --as-of queries for memory (418f397)
  • feat: memory consolidation agent and CLI command (709d1fe)
  • refactor: move agent prompts to XML files with placeholder substitution (9d1213a)
  • chore: pub.dev publishing setup — LICENSE, CHANGELOG, example, topics, publish workflow (377ec42)

A Dart memory / knowledge-base CLI and library. Turn text, images, or directories into a structured Markdown KB and query it with any OpenAI-compatible LLM.

📦 What's Included

  • Native binaries for Linux, macOS, and Windows
  • Cross-platform install scripts (bash, PowerShell, Windows batch)
  • Development wrappers for running from source

🎯 Quick Start

Install the CLI

macOS / Linux:

curl -fsSL https://github.com/IstiN/flutter_agent_memory/releases/latest/download/install.sh | bash

Windows (PowerShell):

irm https://github.com/IstiN/flutter_agent_memory/releases/latest/download/install.ps1 | iex

Windows (cmd.exe):

curl -fsSL https://github.com/IstiN/flutter_agent_memory/releases/latest/download/install.bat -o %TEMP%\agent_memory-install.bat && %TEMP%\agent_memory-install.bat

Install a Specific Version (v0.0.2)

macOS / Linux:

curl -fsSL https://github.com/IstiN/flutter_agent_memory/releases/download/v0.0.2/install.sh | bash

Windows (PowerShell):

irm https://github.com/IstiN/flutter_agent_memory/releases/download/v0.0.2/install.ps1 | iex

🛠️ Development Wrapper

If you already have the repo cloned and Dart installed:

./scripts/agent_memory.sh --help

📋 System Requirements

  • Dart SDK 3.12+ (only if running from source; the native binary has no runtime dependency)
  • ~50 MB disk space

📊 Build Information

  • Version: v0.0.2
  • Build Date: 2026-07-02 07:08:10 UTC
  • Git Commit: c531117f

🐛 Troubleshooting

  • If agent_memory is not found after install, restart your terminal or run source ~/.bashrc / source ~/.zshrc.
  • For source runs, ensure a .env file with your LLM credentials is in the working directory.

🆘 Getting Help

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