Search Results for "read"
Sort By:
Showing 23 open source projects for "read"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
1
MiMo Code
Where Models and Agents Co-Evolve
MiMo-Code is a terminal-native AI coding assistant built for real software projects. It can read and edit code, run commands, manage Git, and preserve project knowledge across sessions. The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows. Its persistent memory system stores project notes, checkpoints, scratch notes, and task progress so the assistant can resume work with context. ... -
2
DeepSeek Harness
DeepSeek Harness: Everything is a Plugin
...Users can run a browser-based interface, select a workspace, configure DeepSeek or other compatible model endpoints, and launch agent sessions against local projects. Agents can read and edit files, execute commands, delegate work, and maintain plans. Durable session events make work replayable and support persistence, forking, and resuming. The project is currently a fast-moving developer preview, so compatibility-breaking changes are expected. -
3
DeepSeek Engineer v2
A powerful coding assistant application
...It lets developers discuss code, request analysis, and perform project work through natural language. Version 2.0 focuses on native function calling instead of rigid structured JSON responses. The assistant can read files, read multiple files, create files, create multiple files, and edit specific snippets when needed. It includes safeguards such as path validation, directory traversal protection, file size limits, and binary file exclusion. Overall, it is designed for developers who want a conversational coding tool that can inspect, modify, and reason about project files from the command line. -
4
GBrain
Garry's Opinionated OpenClaw/Hermes Agent Brain
...It operates by transforming large collections of markdown documents, personal notes, and external data into a searchable knowledge base backed by PostgreSQL and vector embeddings, enabling both semantic and keyword-based retrieval. The system is tightly integrated with agent frameworks such as OpenClaw and Hermes, allowing AI agents to read from and write to memory continuously, effectively evolving their understanding over time. GBrain introduces a hybrid retrieval model that combines embeddings with ranking strategies to improve relevance when querying large datasets. It also organizes knowledge into structured documents with summaries and timelines, helping agents maintain context and track changes in information. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
CodeGraph
Pre-indexed code knowledge graph for Claude Code, Codex, Cursor
CodeGraph is a local-first code intelligence tool that gives AI coding agents a pre-indexed understanding of a repository. Instead of forcing agents to repeatedly scan files with grep, glob, and read commands, it builds a searchable knowledge graph of symbols, relationships, call graphs, and code structure. The project uses deterministic parsing rather than LLM summaries, which makes its indexed data more predictable and grounded in the actual source tree. It is designed for tools such as Claude Code, Codex, Cursor, and OpenCode, with MCP support for agent access. ... -
6
Agent Reach
Give your AI agent eyes to see the entire internet
Agent Reach is a command-line tool that gives AI agents access to public internet content across multiple platforms. It is designed for agent workflows that need to read and search sources like Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without relying on paid platform APIs. The project focuses on giving AI tools broader visibility into social, video, code, and community data through one interface. It can be useful for research agents, automation workflows, competitive monitoring, content analysis, and social listening. ... -
7
herdr
Agent multiplexer that lives in your terminal
...The project is distributed as a lightweight Rust binary for Linux, macOS, and beta Windows support. It also includes a local socket API and CLI so agents can create panes, read output, and orchestrate terminal workflows themselves. -
8
agent-browser
Browser automation CLI for AI agents
agent-browser is a toolkit that embeds AI agent capabilities directly into the web browser, enabling agents to interact with web content, scripts, and user actions while maintaining security boundaries that respect user privacy and browser constraints. It effectively provides a sandbox where AI agents can read, scroll, click, and interpret pages in context, allowing them to automate workflows, answer questions about page content, or generate structured summaries directly from the user’s current tab. The project emphasizes standards and safety, defining interfaces that let agents access DOM data, interpret events, and generate actionable insights without exposing sensitive credential-level access or violating policy boundaries. ... -
9
CLI Printing Press
Reads official API docs, studies CLI and MCP servers
...It supports multiple entry paths, including direct specs, URLs without documentation, and HAR imports from browser developer tools. The project includes validation stages such as scorecards, dogfooding, proof-of-behavior checks, and optional live read-only smoke tests. Overall, CLI Printing Press aims to turn any useful web service into a practical automation surface for both humans and AI agents. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
Claude Agent SDK
Programmatically build AI agents with Claude Code's capabilities
Claude Agent SDK (TypeScript) is an official TypeScript/JavaScript software development kit from Anthropic that makes it easier to build AI agents using the same agent architecture that powers Claude Code and other Claude-based autonomous systems. It provides abstractions and tools that let developers programmatically create, configure, and run intelligent agents that can read files, run commands, edit source code, manage sessions, and execute workflows without having to implement the agent loop manually — the SDK handles much of the complexity for you. Since it’s designed to tap into Claude Code’s capabilities, it integrates tightly with the underlying agent runtime, giving access to built-in tools like file system access, command execution, and code editing, and enabling features such as custom agents, hooks, and subagents. -
11
DashiAI PPT Skill
An AI-agent skill that generates browser-editable presentations
...The project includes 12 visual themes and more than 1,000 layout pages for reports, pitches, research, technical proposals, and business reviews. It can export decks as offline HTML, PDF, or real editable PPTX files. The skill is designed for local agents that can read files, write files, run shell commands, and use Node.js. -
12
Office Agents
Agent plugins for Microsoft Office but BYOK for any model and provider
Office Agents is a modular framework that brings AI-powered agents directly into Microsoft Office applications through add-ins equipped with integrated chat interfaces. It enables users to interact with large language models inside tools like Excel, Word, and PowerPoint, allowing real-time automation, content generation, and data manipulation within familiar productivity environments. The system is built as a monorepo with multiple packages, including a core SDK for agent runtime, a... -
13
Corsair
Your Agent's Integration Layer
Corsair is a unified integration layer that lets AI agents interact with external applications without exposing the underlying credentials to the agent. Developers connect integrations once and expose typed tools through Corsair or its MCP interface. A permission system can allow, require approval for, or block read, write, and destructive operations. Credentials are resolved internally and can be stored with envelope encryption rather than passed into model context. Multi-tenant mode isolates each tenant's credentials, data, and permission evaluation. Plugins can also provide signature-verified webhooks through a shared endpoint. Corsair is designed for production agent systems that need OAuth, scoped authorization, human approval, and centralized integration control. -
14
Keep Codex Fast
A backup-first Codex skill for keeping local Codex state fast
Keep Codex Fast is a backup-first Codex skill for keeping local Codex state clean, fast, and recoverable after heavy use. It is designed for users whose Codex environment has accumulated long chats, logs, worktrees, project history, and local metadata over time. The project emphasizes inspection before action, so its default mode reports what has grown without changing files. When applied manually, it backs up first, archives old sessions, rotates large logs, moves stale worktrees, and... -
15
AI Engineer Coach
Better agentic engineering
...The extension reads local logs and turns them into dashboards, practice scores, trends, anti-pattern detection, and actionable feedback. It focuses on agentic engineering habits such as prompt quality, context management, review discipline, tool use, and session hygiene. The project is read-only and emphasizes that data stays on the user’s machine. Its main value is helping developers measure and improve their AI-assisted coding process instead of treating agent use as an untracked black box. -
16
Kanwas
Shared context board for teams and agents
...Instead of scattering context across chats, documents, and disconnected tools, Kanwas turns messy collaborative work into a shared visual environment that both humans and agents can read and update. The platform supports real-time collaboration, visible agent tool calls, and a timeline that makes AI activity easier to follow and audit. It is designed for long-running projects where maintaining context matters as much as producing a single response. Overall, Kanwas positions itself as a multiplayer thinking space for AI-assisted research, planning, and execution. -
17
PokeeResearch-7B
Pokee Deep Research Model Open Source Repo
PokeeResearchOSS provides an open-source, agentic “deep research” model centered on a 7B backbone that can browse, read, and synthesize current information from the web. Instead of relying only on static training data, the agent performs searches, visits pages, and extracts evidence before forming answers to complex queries. It is built to operate end-to-end: planning a research strategy, gathering sources, reasoning over conflicting claims, and writing a grounded response. -
18
aictx
Repo-local continuity runtime for AI coding agents. Helps them continu
...AICTX keeps operational continuity inside the repo: - active Work State and next action; - execution summaries and handoffs; - explicit decisions; - known failures and resolved failure patterns; - strategy hints from successful prior work; - execution contracts and contract-compliance signals; - optional RepoMap structural entry points; - continuity quality signals for stale, missing, demoted, obsolete, or unverified context; - read-only Task Context Packs for focused task-specific context; - lifecycle diagnostics for incomplete or unfinalized sessions; - optional Git-portable continuity for small teams. It also makes continuity shared across agents. -
19
Email to Event - ETE
The python App/Skrypt automaticly add important events into calendar.
...Check by run run_ETE.bat **Model must understand your language, test before use! ***In emal seting(usualy on web) create a new folder and set auto COPY! More information and complete instalation guidein in READ ME file. USE THEM! If you find some bug or something else, please write on: jan_pisa<a>email.cz Or Github isue -
20
SuperAGI
A dev-first open source autonomous AI agent framework
...Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
21
Mechaglot, Calculate Semantic Similarity
Calculate semantic similarity for any human and human-like languages
WARNING: There are too many false-positives! This is Alpha release, expect many things to improve, including the algorithms. PLEASE GO TO BROWSE ALL FILES TO READ A FULL DESCRIPTION. The goal of this project is simple: Input two sentences of the same language, and obtain the number (from 0 to 1) denoting the similarity between the inputted sentences, according to semantic categories. This project models my previous project: https://sourceforge.net/projects/semantics/ Difference is, this project does not use any database and computes any Strings as an input. ... -
22
PyRoboSim2D
Python+Pygame robot simulator 2D
...(www.pygame.org) Download the .py file and two .bmp files: -->back2_800_600 for background -->any of the robo1.bmp through robo4.bmp for robot image (different colors). The map of the "room" can be changed by modifying the list of obstacles. Read more in ReadMe.txt and in the .py file comments. -
23
EveAI processes the data assuming that it has already been read by a sensor. Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.
- Previous
- You're on page 1
- Next