Droid ASC

ddc is a Rust command-line Android decompiler that converts DEX bytecode from APKs and related containers into readable Java. It supports multi-dex applications, XAPK/APKS/APKM packages, DEX versions 035–041, lambdas, string concatenations, and selected Android and Kotlin-specific output transformations. Its progressive-analysis interface provides subcommands for inspecting application metadata, manifests, resources, strings, cross-references, classes, methods, disassembly, and class hierarchies without requiring a complete decompilation first. The repository reports that its generated Java output passes a javac syntax check across its validation corpus and uses deadline-bounded processing for pathological classes. The CLI can be installed through Homebrew, Scoop, cargo-binstall, or built from Rust source. It provides bilingual English and Simplified Chinese messages, emits reproducible output without timestamps, and is released under the MIT license.

An open-source Python tool that extracts local chat histories from AI coding assistants and converts them into a normalized JSONL format for backup, personal analytics, or fine-tuning. It auto-discovers conversation data in the storage formats used by Claude Code, Codex CLI, Cursor, Windsurf, Trae, Continue, Gemini CLI, OpenCode, Cline/Roo Code, and Aider. Extracted records can include user and assistant messages, code context, diffs or suggested edits, tool calls and results, timestamps, session IDs, project paths, and model names when those sources store them. It handles JSONL, JSON, SQLite, Markdown, and heuristic undocumented schemas, searches macOS, Linux, and Windows storage conventions, and runs from the command line using only Python's standard library, requiring Python 3.9 or newer.

Needle 2 is an open-source, 45-million-parameter foundation model for tool calling, device use, and structured extraction on small devices. Its weights are compressed into a single 14 MB binary and integrated with its inference engine; the repository reports that a full session uses about 28 MB of RAM and performs inference without network access after setup. The model converts text and tool descriptions into schema-constrained JSON calls using a byte-level grammar, attaches a learned confidence score for threshold-based escalation, and can retrieve the top five tools from a larger catalogue. It uses a 256-token sliding window with tools pinned as key-value sinks to bound memory, and its Simple Attention Network combines a Hadamard MLP, grouped-query attention, engram key-value memory, and multi-lane hyper-connections. The Python package supports inference, LoRA fine-tuning, and checkpoint export; the inference engine is fetched from Hugging Face and cached, while the training stack is an optional installation.

DrDroid is an AI SRE agent for incident response and root-cause analysis. It connects to cloud platforms, source code and telemetry to scan stacks, build a knowledge graph, and assist with incident response, root-cause analysis, and automated remediation.

codebase-memory-mcp is an MCP server from DeusData that indexes a codebase into a persistent local knowledge graph for AI coding agents. It parses source with tree-sitter AST grammars and uses Hybrid LSP semantic type resolution for selected languages to model functions, classes, call chains, HTTP routes, and cross-service links. Its MCP tools support code search, structural and Cypher-style queries, call tracing, architecture overviews, impact analysis, dead-code detection, and graph visualization. The project is distributed as native executables for macOS, Linux, and Windows, with no language runtime, hosted service, or API key required. Processing is local; the repository describes a RAM-first pipeline using compressed data, in-memory SQLite, and fused Aho-Corasick pattern matching, and reports sub-millisecond structural queries. A local visualization interface is available at localhost:9749.