Designing, evaluating, and shipping autonomous AI agents.
7657 posts
Integrate penetration testing tools and payloads into your workflow through the Model Context Protocol using STDIO or HTTP.
Lightweight typed knowledge-graph memory for AI agents. Document ingestion + LLM-extracted entities/relations with hybrid recall. Zero exter...
Runtime artifact existence & freshness verification for AI agent completion claims — a lightweight, zero-LLM MCP gate that source-binds 'don...
Secure local AI agent runtime — vault-backed secrets, sandboxed execution, cryptographic audit chain, procedural skill system
IDE-agnostic deep-research framework for AI agents: maps a topic wide, commits to depth on purpose, adversarially verifies its findings, and...
Full Mistral AI MCP server — OCR, Voxtral audio, Codestral FIM, durable workflows, document extraction — for Claude Code, Cursor, Windsurf,...
Capture browser and server logs in one correlated place - and let your AI agent read them over MCP
A marketing world model for merchants — make marketing data findable, understandable, and usable for AI, agents, and MCP apps.
A Deception Security Layer for MCP Servers. It injects "ghost tools" (fake security-sensitive tools) that act as honeypots.
Persistent knowledge capture for coding agents. Auto-triages sessions into searchable Zettelkasten notes with epistemic metadata. Works with...
Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline for Claude Code.
Wallet-as-a-Service for all AI agents in the world
