Real-time context layer that converts user activity into actionable signals for OpenClaw.
Autonomous research agents for Claude Code - passively research and inject helpful context
Episodic memory for AI coding agents — captures tool calls, edits, and outputs across sessions. The episodic layer of a full agent memory stack (pairs with QMD + probe).
A FastAPI gateway for local LLMs that adds intelligent web research, multilingual recency/how-to detection, time-anchored guidance, context injection, and OpenAI-compatible SSE streaming. Turn any local model into a recency-aware, context-enhanced assistant instantly.
This is a RESTful API testing Framework using C#, .NET Core, xUnit, Specflow with Context Injection, Flurl and Fluent Assertions to test JSONPlaceholder REST API.
Context injection for AI agents, triggered by the codebase itself
Leveraged the power of Google Cloud's Vertex AI platform to develop advanced Large Language Models (LLMs). Utilizing the Python API provided by Google Cloud, this endeavor represents a significant stride in the realm of natural language processing and LLMs.
Hint injection plugin for OpenCode — nudge the AI mid-task without interrupting its flow
Stop AI pair programmers from circular debugging. Preserve project intent, decisions, and failed attempts in Git.
CLI tool to summarize datasets for LLM context injection.
An API gateway that connects user queries with RAG-based document search and LLM-powered natural language answers. Built for document Q&A and knowledge workflows.
Smart context injection tool for Claude Code CLI - automatically includes project-specific context, timestamps, and dynamic variables in every prompt
DOM sensor and context injection middleware for AI web interfaces
High-performance Node.js framework with automatic parameter injection, eliminating route handler boilerplate. Features middleware chaining, built-in HTTP client, plugin system, and CLI with
Demo of context injection by an AI Agent to creator browser based authorization flows during browser hijacking session by AI
Fine-tunes a T5-small model on the TellMeWhy dataset using context injection from a large language model (Gemini) to improve causal reasoning for “why” questions in narratives. Combines efficient training with human and automated evaluations to assess impact.
Claude Code plugin for MemDB memory integration — automatic context injection and conversation persistence
Context stuffing for LLMs
Enable seamless integration of large language models with Google Cloud Vertex AI using Python for efficient API and credential management.
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