Backthread keeps the thread on what your AI coding agent ships — it captures the why behind every change and turns it into a living 'How it works' view of your codebase you can actually query.
Contexer captures architecture decisions, constraints, conventions, and patterns from AI coding sessions. Replays them in next session so you don't have to explain it again. It works across multiple AI agents.
Real-time, AI-assisted log triage CLI/TUI in Go. Silent on noise, speaks on signal — scores logs locally and escalates only genuine anomalies to an LLM (local Ollama by default).
26-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free credits, local-Ollama LLM support.
The token-efficient agentic coding workbench. Built for a future where every token counts — it optimizes token usage at the agent-loop level, saving 70%+ on long sessions, while planning, remembering your codebase, and shipping features in parallel from a single self-hosted binary.
Semantic code search for coding agents — search by meaning like grep, trace call graphs, find tests & blast radius. 100% local embeddings (ONNX/MLX), MCP server, plugins for Claude Code, OpenCode, Codex & Droid.
Lint the documentation & metadata quality of VGI (Vector Gateway Interface) data workers — descriptions, column comments, tags, and example queries — with a quality score, per-version baselines, and agent-friendly output.