19 packages found
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with
An AI workforce platform: role-specialized agents with multi-provider LLM, MCP, tasks, and a web + CLI UI. You're in cha
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and ag
PFI: Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration.
A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.
Spec-driven multi-agent orchestration — autonomous development workforce powered by Claude & OpenHands
Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agen
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai
A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any
A transparent, minimal, and hackable agent framework. ~300 lines of readable code. Full control, no magic.
Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a lib
Give AI coding agents (Claude Code, Cursor, Aider, Codex) a structured autonomous loop with guardrails — boundaries, 5 v
An open-source Digital Worker platform for reliable execution and continuous co-evolution.
Run AI coding agents unattended for hours and ship PRs worth merging. Cybernetics-based multi-agent orchestration + cros
A simple and well-tailored LLM application framework that enables you to seamlessly integrate LLM capabilities in the mo