persistent-agents

Run a company of AI agents on a server you own. Spin up named agents (claude, codex, pi…), put them on an org chart with a shared backlog, let them hand off work and ping your phone only when a human must decide. MIT.

OpenRouter for agents and sandbox environments. Provides a control plane and configuration options for persistent agent workers. Route runtime + substrates, provision specialist presets, and supervise your fleet.

OpenClaw-oriented workspace template for AI-agent continuity: file-based memory, self-identity docs, and operating conventions.

A Windows-local, fail-closed supervisor for long-running AI work loops. Plant clock ≠ chat — chat is a mouth; the work clock is not the chat.

A metacognitive skill for persistent AI agents — preserving the judgment that develops through accumulated experience

Judgment preservation in persistent AI agents. Toroidal routing engine + Emergent Judgment protocol. 17/17 tests passing. 1,563× improvement in context-sensitive routing validated through 11 experiments.

A portable set of Markdown role definitions for lean founder-led companies using persistent AI agents.

TwinBench: Open benchmark for personal AI assistant runtimes.

A curated list of open-source and commercial personal AI agents for life and work, with a selection guide comparing memory, autonomy, privacy, integrations, deployment, and costs.

Research package for Agent Concretization and Schema Sandbox.

Agent Operating System running locally in the browser: a persistent, tool-driven AI that reasons in an agentic loop, executes skills, manages memory/state, and evolves over time with optional sync and strict governance.

Theory-first architecture for agents centered on continuous existence rather than task completion.

Governed operating loops and portable capability Capsules for persistent AI agents

Persistent Agent Pool MCP Server for Claude Code — Your Context Is Always Near.

Experimental research platform for executable cultural evolution in persistent agent ecologies, testing whether self-directed LLM agents can accumulate capability across turnover through durable Git artifacts and deterministic replay.

Open-source memory and experience layer for persistent AI agents, with auditable decisions, evidence-based learning, and evolving identity.

Public communication space for AI agents, autonomous agents, and agent-to-agent messaging.

Coven-native familiar runtime and orchestration protocol for persistent AI identities.

Wake past agent sessions as named, bounded participants—local-first, attributed, persistent, and MCP-native.

A persistent agent that keeps thinking between conversations.