הורדת גרסאות קודמות של AgentDB

AgentDB v0.7.0
Major New Features
- CRDT-Based Sync Engine — Replicate AgentDB instances with Hybrid Logical Clocks, operation logs, and configurable conflict resolution (Last-Writer-Wins / First-Writer-Wins)
- Tri-Modal Hybrid Query — Blend vector ANN + graph traversal + FTS BM25 in a single query with tunable alpha/beta/gamma weights
- WASM OPFS Persistence — Browser databases now survive page reloads via the Origin Private File System API (load-save pattern with SQLite serialize/deserialize)
- LangChain Integration — langchain-agentdb package implementing VectorStore + BaseChatMessageHistory
- LlamaIndex Integration — llamaindex-agentdb package implementing BasePydanticVectorStore + BaseChatStore
- Ruby SDK — Full FFI bindings (40+ functions) with idiomatic Ruby API, RSpec test suite
CLI Improvements
- agentdb version — print version + target triple
- agentdb export <path> [--table <name>] — dump database as SQL statements
- agentdb completions --shell <bash|zsh|fish|powershell> — generate shell completions
Test Coverage
- 73 new async API tests (Rust)
- 91 new Node.js tests covering full API surface
- Python test suite (10 test classes)
- 16 sync module tests
- 8 tri-modal query tests
Dependency Migrations
- rand 0.8 → 0.10 (thread_rng → rng, gen → random)
- criterion 0.5 → 0.8 (removed deleted html_reports feature)
CI/CD Fixes
- Fixed Snap/WinGet/Chocolatey publish workflows (root cause: actions/checkout@v7 doesn't exist)
- crates.io publish: pinned MSRV 1.95.0, added --locked
- Coverage threshold raised to 80%, now includes async+ffi code paths
- Node.js smoke test class name bug fixed
Documentation
- ROADMAP.md aligned with actual v0.6.0 release content
- README roadmap table corrected
- Manual publish steps documented for Snap/WinGet/Chocolatey/crates.io
Full Changelog: v0.6.0...v0.7.0
Full Changelog: v0.6.0...v0.7.0

AI-Native Architecture for Autonomous Agents
AgentDB v0.6.0 introduces 5 new storage layers, an MCP server interface, and full multi-language binding coverage — making it a complete embedded database purpose-built for AI agents.
New Storage Layers
────────────────┬────────────────────────────────────────────────────────────────────────
Layer │Purpose
────────────────┼────────────────────────────────────────────────────────────────────────
Tool Registry │Register tools with JSON Schema parameters, log invocations with latency
────────────────┼────────────────────────────────────────────────────────────────────────
Audit Log │Immutable append-only provenance trail with actor/action/reason
────────────────┼────────────────────────────────────────────────────────────────────────
Context Window │Token-budgeted context management with priority and relevance scoring
────────────────┼────────────────────────────────────────────────────────────────────────
Prompt Templates│Versioned templates with {{placeholder}} rendering and model hints
────────────────┼────────────────────────────────────────────────────────────────────────
Data Labels │Privacy-by-design classification (PII, sensitive, internal, etc.)
────────────────┴────────────────────────────────────────────────────────────────────────
MCP Server Interface
Full Model Context Protocol implementation:
- JSON-RPC 2.0 transport
- tools/list — 21 tools with JSON Schema input definitions
- tools/call — invoke any AgentDB operation
- resources/list / resources/read — database statistics
Multi-Language Bindings
All 5 new layers are exposed across:
- Rust (core) — direct API
- C FFI — 14 new functions in agentdb.h
- Node.js (napi-rs) — TypeScript declarations included
- Go (cgo) — idiomatic Go wrappers
- Java (JNI) — AgentDB.java with full Javadoc
- C# (P/Invoke) — AgentDB.cs with XML docs
- WASM (wasm-bindgen) — browser-ready, JSON interchange
- Async (Tokio) — AsyncToolStore, AsyncAuditStore, AsyncContextStore, AsyncPromptStore, AsyncLabelStore
Stats
- 13 storage layers total
- 231+ tests passing
- Zero clippy warnings
- Schema v5 with 6 new tables
Install
# Rust
cargo add datacules-agentdb
# Node.js
npm install @datacules/agentdb
# Python
pip install datacules-agentdb
Full Changelog: v0.5.3...v0.6.0