AI and memory

Offline local-LLM helper: delegate simple errands to a local model, with sandboxed file tools.

Persistent memory for AI agents — history, context, semantic search, queues. 46 tools, stdio/SSE.

Persistent memory, hybrid search and a goal graph for AI agents, over stdio or remote HTTP.

AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.

QSP — relay MCP tools to any OpenAI-compatible local LLM (llama.cpp, Ollama, vLLM)

Personal wiki and memory for AI assistants: store, search, and recall structured notes.

The private, owned conversation-memory layer for AI. Record, transcribe, and search every meeting.

An AI agent's own long-term memory, on your machine. Needs a one-time: npx anairyspirit setup

Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.

Local vector and raster editing engine for agents: layered documents, saved sessions and exports.

Persistent agent memory as plain Markdown in your repo - readable, diffable, with provenance.

Local hybrid-search memory for AI agents over plain Markdown. Multi-tenant, offline, no LLM.

Cross-tool decision memory for AI coding agents: search your decision graph, check changes over MCP.

Standalone MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, OAuth 2.1

Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.

Persistent memory + vibe-loop engine for AI agents. Single Go binary, SQLite-backed, stdio MCP.

Persistent decision memory for agents — learns which action works in which context

Deterministic inspect, safe repair, and JSON Schema validation for agent JSON. No LLM.

Prompt-injection detector for untrusted text before it reaches an LLM (RU/EN). BYO lovec.tech key.

Local-first, read-only MCP server for evidence-backed repository memory.

Product memory your agents read before they work: briefs, plan checks against decisions, debriefs.

Verify what a web page really returns over HTTP and in a browser. Deterministic, local, no LLM.

Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.

Validate, plan, preview and run YAML data pipelines (ETL with LLM steps) and debug failed runs.