A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgvector

Local-first, evidence-controlled academic writing workflows for AI agents, with bounded revision, clean-room review, and release governance.

A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

Continual agent skill evolution through persistent decision history. Whole-skill optimisation (SKILL.md + scripts + references) with every decision landing as a local Git issue / PR / wiki. Runs on any agentskills.io runtime — Claude Code, Codex, OpenClaw, Hermes.

Portable SKILLs workspace for Claude Code, Codex, and Gemini — issue-driven workflows and cross-agent collaboration via bridge scripts with session continuity.

Comate is a desktop AI workspace that brings Claude Code into a polished, native app experience. Organize multiple projects in folder-backed workspaces, chat with AI through streaming sessions, explore files, and manage tasks — all in one place.

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results

Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

MCP server for agents to explore rust docs, analyze source code, and build with confidence

MCP Server with ArcGIS Pro Add-In

An MCP server implementation enabling LLMs to work with new APIs and frameworks

🔒 MCP gateway with a built-in skill library.

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Reverse engineer anything with agents, from app behavior down to native binaries.

Agent skills that fact-check the internet: claim-by-claim verification with sources and a 0-10 BS score for any YouTube video, article, tweet, or PDF

Free Kagi Search MCP server — access search and summarizer via session tokens, no API key needed. Works with Claude Desktop, Cursor, Windsurf, Hermes and any MCP client.

A comprehensive set of samples of creating and using MCP servers and clients with .NET

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.

MCP server that enables language models to interact with RDKit through natural language

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.