Showing 1-10 of 10
Diff Forge AI runs Codex, Claude Code and OpenCode locally and lets you steer terminals from the web. It captures screen snips, voice transcripts, Loop Spaces and session history.
Run alma locally to store a versioned, structured 'self' profile for on‑machine AI agents. Keeps private data on‑device, standardizes agent decisions, and is quick to prototype.
Akmon provides a tamper‑evident evidence layer so you can sign an AI agent session (JSON + detached signature) and verify its integrity offline using only OpenSSL.
Run KiroGraph locally to build an on-disk semantic index and a small HTTP lookup service. Speed symbol and usage queries, reduce repeated tool calls, and keep code fully local.
Step-by-step guide to run GraphOS locally to capture and inspect LangGraph agent traces, find prompt or tool errors, and debug privately before cloud deployment.
Skilldeck is a local-first desktop app that centralizes AI agent skill files, exports them into tool formats (Claude, Cursor, Copilot and more), and detects drift with two-way sync.
Quickstart to run agent_debugger locally: capture and replay agent sessions, index recurring failures into a searchable memory, and surface smart highlights and drift—see the repo for commands.
Run Hive Memory locally to give AI coding agents persistent, cross-project context and session history (JSON/Markdown on disk at ~/.cortex). Use MCP clients like Claude Code or Codex.
Hands-on 60–120 minute guide: clone uberSKILLS, run a local dev instance, author one SKILL.md, run ~10 test prompts across models via OpenRouter, and validate metrics before deploy.
Guide to Sediment — a Rust single-binary, local-first semantic memory for LLM agents. Use four tools (store, recall, list, forget) to add private, persistent context.