TryCase
Disposable Linux environments for LLMs and agents to run, verify, and capture artifacts from apps.
Developer libraries for building agents (LangChain, CrewAI, LangGraph, AutoGen).
Disposable Linux environments for LLMs and agents to run, verify, and capture artifacts from apps.
The library implements what the repo calls the 'two-tier fix': structured storage in a local SQLite database, with semantic or keyword…
The platform runs anywhere Docker runs: clone, add keys, and agents come online with their own schedules, models, and instructions. Every…
GOAT2 runs a Telegram-facing multi-agent system on top of async DAG execution, with a three-tier memory stack — Redis for fast session…
StudioX positions itself as an AI-native platform for deploying and scaling multi-agent workflows inside enterprise environments, with…
Skill Federation runs locally on your machine and connects to a catalog of over 100,000 vetted skills. When an agent hits a gap, it…
The platform supplies seven composable APIs — turn-taking, theory of mind, group norms, persona, social memory, social signals, and social…
Reference is a local MCP server that reads session transcripts and memory files — CLAUDE.md, AGENTS.md, and similar — from multiple AI…
Katra is self-hosted memory infrastructure: drop it on any Docker-capable machine, point your MCP-compatible agent at it, and you get…