4 Repos
Extracts and consolidates token consumption metrics from local coding assistant databases.
Distinct from Data Aggregation Pipelines: Distinct from Data Aggregation Pipelines: focuses on agent-specific usage data rather than general web data.
Explore 4 awesome GitHub repositories matching data & databases · Agent Usage Aggregators. Refine with filters or upvote what's useful.
Multica is an autonomous coding agent manager and LLM agent orchestration platform. It coordinates teams of autonomous agents to execute coding tasks and manage their lifecycles through a centralized dashboard. The system provides multi-tenant agent workspaces that isolate agents, settings, and project issues into distinct organizational boundaries. The platform distinguishes itself through an agent skill library that captures successful task solutions as reusable, versioned skills. These skills are shared across the agent team and pinned using content hashes to ensure consistent behavior acr
Aggregates hourly token consumption and task usage metrics to populate operational dashboards.
This project is a command-line utility designed to monitor and analyze token consumption and financial expenditure for AI coding assistants. By parsing local session logs directly on the user's machine, it provides a privacy-focused way to track development activity without transmitting sensitive data to external servers. The tool distinguishes itself through its ability to aggregate disparate log formats from multiple coding assistants into a unified, schema-agnostic representation. It features a decoupled pricing engine that allows users to apply custom model-specific cost multipliers, over
Consolidate local log files from multiple coding assistants into a unified report to track token consumption and estimated costs across different tools.
Casibase is an open-source platform that orchestrates multi-turn conversations with large language models and manages retrieval-augmented knowledge bases from a single interface. It provides a unified system for connecting to over 30 AI model providers, ingesting documents into vector embeddings for semantic search, and running autonomous agent loops that can drive a browser, search the web, execute commands, and integrate with external tools. The platform distinguishes itself by combining AI conversation management with infrastructure and application orchestration capabilities. It includes a
Compiles interaction counts, token usage, and other metrics across all conversations for analysis.
Quotio is a local LLM API proxy gateway and credential manager that intercepts and routes requests from command-line tools and integrated development environments to various AI model providers. It serves as a centralized authentication hub, managing API keys and service accounts to provide a unified interface for external AI agents. The project distinguishes itself through a routing engine that implements priority-chain and round-robin load balancing to distribute workloads across multiple accounts. It features automated API key failover, which redirects requests to backup authentication keys
Aggregates cost and usage data across different interfaces, including command line tools and editors, into a unified view.