Agent frameworks

AxisAgentic is an extensible runtime for long-horizon AI agents that also records the trajectories those agents produce, so the same execution traces can support replay, benchmark evaluation and supervised fine-tuning data export.

• Agent frameworks
• AI evals

MassGen is a terminal-based multi-agent system that runs several AI models on the same task in parallel, has them critique and build on each other's answers over repeated rounds, and lets the agents vote on the best result.

• Agent frameworks

LatentMAS lets multiple AI agents collaborate by passing latent representations through a shared working memory instead of exchanging text, aiming to reduce token usage and speed up multi-step reasoning.

• Agent frameworks
• Agent memory

A multi-user, self-hosted personal AI agent platform built on Spring Boot, with multi-agent orchestration, MCP, skills and memory, automatic provider failover, and multi-channel bots such as Telegram, Feishu and DingTalk.

• Agent frameworks

An open protocol that standardizes how AI agents perceive real-world data, so that installing a sensor gives an agent structured, real-time signals in a common schema.

• Agent frameworks

A C++ kernel for building AI agents that run entirely on-device, with sub-100ms latency on Qualcomm NPUs, crash recovery, formal verification, and no cloud dependency.

• Agent frameworks

A real-time control room for observing and steering simulated societies of language-model agents, letting a user pause time, question a resident, change what happens next, and replay or export a run.

• Agent frameworks
• AI evals

A PyTorch-like Python runtime for dynamic multi-agent and multi-session workflows, turning agent runtime state into explicit, composable objects such as Session, Sandbox, Memory, Tool, Agent and Workflow.

• Agent frameworks

A collection of more than 80 runnable Python examples for building autonomous AI agents and multi-agent systems with uAgents, ASI:One, Agentverse, MCP, A2A, LangChain, CrewAI and other frameworks.

• Agent frameworks
• Tutorials

An open-source agent framework that runs entirely on an Android phone, keeping sessions, memory, skills and tools on the device while model inference comes from a user-configured LLM API.

• Agent frameworks
• Mobile

An open-source, multi-agent harness for autonomous scientific research that reads literature, designs and runs experiments, and writes a cited LaTeX report through to a compiled PDF.

• Agent frameworks

An open-source AI chatbot workspace for individuals and teams, combining multiple LLM providers, MCP tools, visual workflows, custom agents, and a realtime voice assistant.

• Agent frameworks
• Inference

An open-source way to package AI skills into runnable local agents that a team can deploy in their own environment and use from Slack and Telegram.

• Agent frameworks
• Agent skills

An ultra-lightweight, open-source Python framework for building OpenAI-compatible agents, with tools, persistent memory, guardrails, tracing, multi-agent collaboration and workflows.

• Agent frameworks

An open-source multi-agent platform for coordinating project work, tool execution, and agent collaboration on the desktop, on the web, or embedded in a Python application.

• Agent frameworks

An agent harness and platform for building autonomous AI agents that orchestrate tools, memory and context, letting experts encode domain knowledge into reusable skills.

• Agent frameworks

A single Python interface for running and evaluating AI agents built with different frameworks such as Agno, Google ADK, LangChain, LlamaIndex, the OpenAI Agents SDK, and smolagents.

• Agent frameworks
• AI evals

A multi-agent orchestrator that turns a described task into a full PROMPT.md plan, then plans, executes, and reviews it in an isolated git worktree, with a human approval gate wherever the user wants one.

• Coding agents
• Agent frameworks

An AI workflow automation platform that combines YAML-defined workflows, actions, agents, and conversational channels, with tools, MCP, memory, and retrieval-augmented generation, in one runtime.

• Agent frameworks
• Workflow automation

A local AI agent framework that turns a phone into an on-device agent runtime, running small vision-language models directly on the device and calling native mobile skills such as Calendar, Reminders, and Health.

• Agent frameworks
• Mobile

A self-hosted, E2B-compatible sandbox platform for AI agents where sandboxes persist indefinitely and cost nothing while idle, instead of being disposable cloud sandboxes billed by the second.

• Agent frameworks
• Containers

An archived TypeScript-first framework for building serverless, composable AI agents with memory and tools, developed on the local machine and deployed with one command, now succeeded by a set of AI primitives.

• Agent frameworks

A self-hosted runtime for building, orchestrating, running, observing, evaluating, and controlling agentic systems on a company's own infrastructure, composed visually or generated with AI.

• Agent frameworks

An open-source, cloud-native runtime, SDK, and CLI for agentic AI that gives every AI resource, such as an LLM, vector database, storage, or cache, one unified API across providers so agent logic can be written once and run anywhere.

• Agent frameworks