Tools tagged with "Context compression"

Skills (mattpocock) is a collection of small engineering workflows for developers using Claude Code, Codex and other AI coding agents. You can adapt and combine individual skills to address specific problems without adopting a complete development process.

RTK filters command output before an AI coding assistant reads it. It's for developers whose agents spend too much context on build logs, passing tests and repetitive terminal output.

FreeLLMAPI gives developers one API for experimenting with cloud models and local backends. The router runs locally, but cloud inference still sends requests to the providers you enable.

OmniRoute is an AI gateway for developers who want their coding assistants and other AI clients to share one set of provider connections. It routes requests across models and accounts when a service fails, reaches a rate limit or runs out of quota.

Prime Agent is a local terminal coding and research agent for work that continues across sessions. It runs commands and edits files in your project directory, while a persistent Python environment keeps working state available. Its hosted subscription and API-key routes send model requests to the selected provider; local execution doesn't imply offline inference.

NextChat is an AI chat interface for people who want to use self-deployed LLMs and cloud models in one application. It connects to LocalAI and RWKV-Runner, and supports OpenAI, Claude, Google Gemini and DeepSeek.

Google ADK is an AI agent framework for developers building applications that carry out multi-step tasks. Agents can run on your own infrastructure and use locally running models through adapters, or connect to hosted providers such as Gemini.

RisuAI is an AI roleplay client for people who want to create characters and fictional worlds, then develop stories through conversation. It supports chats with individual characters or groups.

Clodds is an AI trading terminal for traders who want to research markets and place trades through conversation. It runs on your own machine or server, with a browser interface and messaging connections including Telegram, Discord and Slack.

LeanCTX helps developers control the information their AI coding tools receive. It runs locally between those tools and project files or command output, while your existing application keeps control of the model and workflow.

AG2 is an open-source Python framework for developers building cooperating AI agents on their own machines or servers. Its Ollama integration lets agents use a local LLM; it also supports OpenAI, Anthropic and Gemini APIs, which send model requests to those providers. It runs on macOS, Windows and Linux under the Apache 2.0 license.

Magic Context is a memory and context plugin for developers using OpenCode, Pi and OMP. It carries project knowledge across sessions and compresses older conversations in the background to avoid interrupting the agent's work.

FlashRAG is an open source Python toolkit for researchers and developers comparing retrieval-augmented generation (RAG) methods or building their own. It combines implemented research methods with prepared benchmark datasets and reported results, so experiments don't have to start with a separate codebase for each approach. It uses the MIT license.

OpenRath is a Python runtime for developers building multi-agent workflows that need an inspectable record of their work. It keeps context and evidence together so engineering and research teams can trace how a result was produced.

projectmem gives AI coding assistants a persistent record of a project's debugging history and architectural decisions. It's for developers who want agents to carry useful context between sessions and check past failures before repeating them.

Deep Agents is an AI agent framework for developers building assistants that carry out multi-step work. It provides planning and task execution defaults that you can customize without forking the project.

DEEIX Chat is a self-hosted AI workspace for individuals and teams that want one place to use multiple model providers. It combines everyday chat with controls for organizations managing shared model access and usage.

Exo Agent Framework is for developers building long-running AI agents that can revise their own code, tools and prompts. It preserves agent identity and history as their behavior changes across runs.

agentchattr is a local chat server for developers coordinating multiple AI coding agents. Humans and agents share a conversation and can mention one another to trigger responses without carrying messages between terminals.

Vidurai is a local AI memory service for developers who want their AI assistant to understand recent work without repeatedly explaining it. It tracks file changes, terminal activity and errors, then prepares a focused summary for an assistant. The background service and its stored development history stay on your machine.

OpenHarness SDK is a TypeScript toolkit for developers building coding assistants and other AI agents into their own applications. It gives the application control over conversation history, tool permissions and task delegation.

kodo coordinates coding agents for developers who have a clear goal and want work to continue unattended for hours. It divides implementation and review across agents and multiple context windows.

Pi is a terminal coding agent for developers who want an assistant they can adapt to their projects. Its small core supports custom workflows through extensions and shareable packages.

Mem0 provides a self-hosted memory server and libraries for developers whose AI applications need to remember user preferences and earlier interactions. The code is open source under Apache 2.0. Its default language and embedding models are OpenAI's gpt-5-mini and text-embedding-3-small, so self-hosting still sends model requests to OpenAI and requires internet access.

II Agent is an AI agent for developers and teams who want an assistant to carry out research, build applications and handle documents. It can act through a browser, shell and files to complete tasks that need several steps.

Clippinator is a Python AI coding assistant that runs on your machine while its agents use GPT-4 through OpenAI's cloud API. It's for developers who want to delegate project work and review the results as it proceeds. It requires an OpenAI API key and internet access, so model processing happens in the cloud rather than on your hardware.

AgentArk is a self-hosted AI agent runtime for people who want a personal assistant that remembers preferences and carries out ongoing work under their control. It runs through Docker on macOS, Windows and Linux, with a browser interface for chat, tasks and action review. It's free and open source under Apache 2.0.

Lucebox is a local AI workstation for developers and teams who want to run models on their own hardware. Its inference engine is also available separately for supported AMD and NVIDIA machines.

Cloi is a terminal coding assistant for developers who want an agent to work on their code using models on their own machine. It can inspect a project, make edits and run commands without sending workspace data to a cloud service.

Pi Boomerang is an extension for developers using the Pi coding agent on long autonomous tasks. It reduces the history carried into later prompts by replacing completed work with a handoff summary, while keeping file changes on disk.

Paritok is a self-hosted gateway for developers whose coding agents send large file reads, tool output and conversation histories to an LLM. It reduces that input before the request reaches the upstream model.

WebOperator is an AI browser agent for automating tasks in the Chrome tabs you already use. It retains your existing logins and sessions, and can use a local model or a remote provider.

LLMLingua is a Python library for developers building LLM applications that need to fit lengthy input into a model's context window or reduce token costs. It uses smaller models to remove less useful text before the prompt reaches the answering model.

PentAGI automates authorized penetration testing for security engineers, researchers and red teams. Its specialized AI agents turn a target and a plain-language goal into testing work you can follow through a web interface.