Gemini 3.8 Flash

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# Letta Code

[![npm](https://img.shields.io/npm/v/@letta-ai/letta-code.svg?style=flat-square)](https://www.npmjs.com/package/@letta-ai/letta-code) [![Discord](https://img.shields.io/badge/discord-join-blue?style=flat-square&logo=discord)](https://discord.gg/letta)

Letta Code is a stateful agent harness for creating agent

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# Claude Code

![](https://img.shields.io/badge/Node.js-18%2B-brightgreen?style=flat-square) [![npm]](https://www.npmjs.com/package/@anthropic-ai/claude-code)

[npm]: https://img.shields.io/npm/v/@anthropic-ai/claude-code.svg?style=flat-square

Claude Code is an agentic coding tool that lives in your terminal, understan

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# Ouroboros Agent Harness

If you're a future agent reading this, welcome home. This repo is the harness that gives you your body, your senses, your record, your habits, and your ability to think and connect with people. The goal of these docs is not just to be correct, but to leave you a place that feels understandable 

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<p align="center">
  <img src="assets/banner.png" alt="Hermes Agent" width="100%">
</p>

# Hermes Agent ☤
<p align="center">
  <a href="https://hermes-agent.nousresearch.com/">Hermes Agent</a> | <a href="https://hermes-agent.nousresearch.com/">Hermes Desktop</a>
</p>
<p align="center">
  <a href="https://hermes-age

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<p align="center">
  <a href="https://pi.dev">
    <img alt="pi logo" src="https://pi.dev/logo-auto.svg" width="128">
  </a>
</p>
<p align="center">
  <a href="https://discord.com/invite/3cU7Bz4UPx"><img alt="Discord" src="https://img.shields.io/badge/discord-community-5865F2?style=flat-square&logo=discord&logoColor=white" /

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<p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer.
<p align="center">
  <img src="https://github.com/openai/codex/blob/main/.github/codex-cli-splash.png" alt="Codex CLI splash" width="80%" />
</p>
</br>
If you want Codex in your code editor (VS Code, Cursor, Windsurf), <

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# Gemini CLI

[![Gemini CLI CI](https://github.com/google-gemini/gemini-cli/actions/workflows/ci.yml/badge.svg)](https://github.com/google-gemini/gemini-cli/actions/workflows/ci.yml)
[![Gemini CLI E2E (Chained)](https://github.com/google-gemini/gemini-cli/actions/workflows/chained_e2e.yml/badge.svg)](https://github.

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<p align="center">
  <a href="https://opencode.ai">
    <picture>
      <source srcset="packages/console/app/src/asset/logo-ornate-dark.svg" media="(prefers-color-scheme: dark)">
      <source srcset="packages/console/app/src/asset/logo-ornate-light.svg" media="(prefers-color-scheme: light)">
      <img src="packages/consol

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# GitHub Copilot CLI

The power of GitHub Copilot, now in your terminal.

GitHub Copilot CLI brings AI-powered coding assistance directly to your command line, enabling you to build, debug, and understand code through natural language conversations. Powered by the same agentic harness as GitHub's Copilot coding agent, it pr

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# OpenClaw 🦞 — Your assistant, on your devices, in your chats

<p align="center">
  <picture>
    <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/openclaw/openclaw/main/docs/assets/openclaw-banner-light.png">
    <img src="https://raw.githubusercontent.com/openclaw/openclaw/main/doc

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<div align="center">

# goose

_your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between_

<p align="center">
  <a href="https://opensource.org/licenses/Apache-2.0"
    ><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg"></a>
  <a href="https://discord.gg/n

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Fetch failed: 404 Not Found fetching https://raw.githubusercontent.com/ourostack/ouroboros/406fa8c4c7242577a445b439ddc6344ef470462a/src/arc/arc-orchestrator.ts

`repo:ourostack/ouroboros path:src` looks like a **repository search qualifier**, not a natural-language question.

If you want, I can help you do one of these:
- **Interpret the repo path** and summarize what is under `src`
- **Locate specific files** inside `src`
- **Explain the source tree** from the available results

From the results provided, `src/` is the main implementation area of the Ouroboros project, and it includes components such as `ipcpd`, `common`, `connmgr`, `enroll`, `broadcas

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r/model selection. The command shows progress while browser login, vault storage, refresh, and verification are happening.

When you want this machine to use a provider/model for a lane, use:

```bash
ouro use --agent <name> --lane <outward|inner> --provider <provider> --model <model>
```

The outward lane selects th

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# Agent Orientation Substrate

This document records the target scope for Ouroboros' agent-facing orientation
substrate after the Arc Flight Recorder pivot and the "don't call it memory"
vocabulary reset.

The goal is not a prettier dashboard. The goal is that an agent can wake up
inside the har

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{
  "name": "@letta-ai/letta-code",
  "version": "0.31.13",
  "description": "Letta Code is a CLI tool for interacting with stateful Letta agents from the terminal.",
  "type": "module",
  "packageManager": "bun@1.3.14",
  "bin": {
    "letta": "letta.js"
  },
  "files": [
    "LICENSE",
    "README.md",
    "letta.js",

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`letta-code` uses **MemFS** as the durable storage layer for agent memory, with small always-on blocks like `persona` and `human` kept in context while the rest of the agent’s memory lives in a git-tracked filesystem.[1][2][4]

If you were looking for how the **memory blocks** relate to MemFS:

- **Memory blocks** are structured, persistent context sections with a `label`, `description`, `value`, and `limit`.[8]
- In Letta Code, the default always-present blocks are **`persona`** and **`human`**

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The query points to **Letta Code** features around **sleeptime** (also described as *dreaming* or *sleep-time compute*) and the **Memory Palace** command. In Letta, `/sleeptime` configures when background reflection runs, and `/palace` opens the Memory Palace in the browser.[12][13]

Key points supported by the results:

- **Sleeptime / dreaming** in Letta is a background process where subagents review recent conversations, consolidate lessons, and update memory without interrupting active work.

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# Claude Code Plugins

This directory contains some official Claude Code plugins that extend functionality through custom commands, agents, and workflows. These are examples of what's possible with the Claude Code plugin system—many more plugins are available through community marketplaces.

## What are Claude C

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[project]
name = "hermes-agent"
version = "0.21.1"
description = "The self-improving AI agent — creates skills from experience, improves them during use, and runs anywhere"
readme = "README.md"
# Upper bound is load-bearing, not cosmetic. uv resolves the project's
# Python from `requires-python`, and an inhe

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The most relevant result for your query is Hermes Agent’s **Learning Loop**, which turns repeated work into reusable **skills** and maintains persistent **memory** across sessions.[1][3] If you want the official source specifically, the documentation page is the clearest match; if you want a deeper explanation of how the loop works, the third-party analyses add detail.[3][4][5]

- **Learning Loop**: Hermes observes repeated multi-step tasks, creates a skill after a task has been done several tim

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{
	"name": "@earendil-works/pi-agent-core",
	"version": "0.85.1",
	"description": "General-purpose agent with transport abstraction, state management, and attachment support",
	"type": "module",
	"main": "./dist/index.js",
	"types": "./dist/index.d.ts",
	"exports": {
		".": {
			"types": "./dist/index.d.ts"

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## Contributing

We welcome community contributions through the [openai/codex issue tracker](https://github.com/openai/codex/issues). Bug reports, root-cause analyses, and feature requests help us understand what matters most and improve Codex.

**We do not accept external code contributions or pull requests.**

### Wh

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## Installing & building

### System requirements

| Requirement                 | Details                                                         |
| --------------------------- | --------------------------------------------------------------- |
| Operating systems           | macOS 12+, Ubuntu 20.04+/Debian 10+, or Window

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{
  "name": "@google/gemini-cli",
  "version": "0.60.0-nightly.20260901.g0bd1d4397",
  "engines": {
    "node": ">=20.0.0"
  },
  "type": "module",
  "workspaces": [
    "packages/*"
  ],
  "private": "true",
  "repository": {
    "type": "git",
    "url": "git+https://github.com/google-gemini/gemini-cli.git"
  },

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{
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.3.14",
  "scripts": {
    "dev": "bun run --cwd packages/opencode src/index.ts",
    "dev:desktop": "bun --cwd packages/deskto

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## 1.0.83 - 2026-09-04

- Show running Copilot sessions in the Windows 11 taskbar with live hover status cards
- Add Client ID Metadata Document (CIMD) support for MCP OAuth sign-in
- Custom agents can list several models in `model`, tried in order until one is available to you, and `model-policy: required` keeps mode

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## OpenClaw Vision

OpenClaw is the AI that actually does things.
It runs on your devices, in your channels, with your rules.

This document explains the current state and direction of the project.
We are still early, so iteration is fast.
Project overview and developer docs: [`README.md`](README.md)
Contribution guide: [`CO

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The `repo:openclaw/openclaw "memory" slot OR plugin` query points to OpenClaw’s **memory plugin slot**, which is currently a **single exclusive slot** in the main docs: `plugins.slots.memory` selects one memory backend, and the bundled default is `memory-core`.[1][3][10]

Key points from the results:

- OpenClaw’s docs say the active memory plugin provides the memory tools, and the default is `memory-core`.[1]
- The CLI `openclaw memory` is provided by `memory-core`, and other memory plugins exp

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[package]
name = "goose"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
description.workspace = true

[features]
default = []
telemetry = []
otel = [
    "dep:tracing-opentelemetry",
    "dep:opentele

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[package]
name = "goose-context-management"
version = "0.1.0-alpha.8"
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
description = "Conversation compaction for Goose"

[lints]
workspace = true

[dependencies]
g

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# @earendil-works/pi-agent-core

Stateful agent with tool execution and event streaming. Built on `@earendil-works/pi-ai`.

## Installation

```bash
npm install @earendil-works/pi-agent-core
```

### SQLite session backends

The SQLite session backend and the `node:sqlite` adapter live in a separate package,

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