3 repository-uri
Awesome GitHub RepositoriesToken-Aware Summarizers
Tools that condense conversation history to fit within model token limits while preserving essential context.
Distinct from Session State Summarizers: Distinct from Session State Summarizers: focuses specifically on token-constrained summarization for LLM context windows rather than general session overviews.
Explore 3 awesome GitHub repositories matching data & databases · Token-Aware Summarizers. Refine with filters or upvote what's useful.
Awesome Token-Aware Summarizers GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- moonshotai/kimi-code
MoonshotAI/kimi-code
2,473Vezi pe GitHubKimi-code is a command-line interface and orchestration framework designed to integrate autonomous AI agents into software development workflows. It functions as a terminal-based assistant that manages multi-step coding tasks, including planning, file system modifications, shell command execution, and test running, all while maintaining conversational context within a local development environment. The project distinguishes itself through a focus on secure, autonomous agent orchestration and granular control over AI interactions. It enforces strict security by requiring explicit user approval
Optimizes conversation history and multimodal inputs to maintain focus within model token limits.
TypeScript - leonxlnx/agentic-ai-prompt-research
Leonxlnx/agentic-ai-prompt-research
2,453Vezi pe GitHubThis project is a research-focused toolkit designed for building autonomous agent systems, multi-agent workflows, and security governance frameworks. It provides a platform for coordinating specialized sub-agents through structured communication protocols and phased task delegation to complete complex technical objectives. The framework distinguishes itself by integrating a dedicated security policy engine that validates autonomous tool execution against user-defined permissions and safety rules. It also features a research-oriented approach to prompt engineering, enabling the dynamic assembl
Condenses session history into compressed representations to maintain context coherence while minimizing token usage.
agentic-aiai-researchclaude - editor-code-assistant/eca
editor-code-assistant/eca
This project is an AI-powered development workflow orchestrator that integrates autonomous coding agents directly into code editors. It functions as a framework for managing multi-agent systems, enabling developers to automate complex tasks such as code refactoring, inline completion, and multi-stage software development workflows. By utilizing a standardized communication protocol, it bridges the gap between local development environments and large language models. The system distinguishes itself through its focus on agent-based task orchestration and granular configuration. Users can define
Summarizes chat history to maintain conversation state within strict token limits.
Clojureaichatcompletion
