TokensBurned

CodeBurn is a free, open-source, local-first tool by AgentSeal that reads session files written by AI coding tools and reports token usage and estimated cost by provider, model, project, task, and activity. It provides a terminal dashboard and reports, a localhost web dashboard, desktop and tray or menubar views, exports, model comparisons, subscription-plan tracking, and optional cross-device aggregation. Its deterministic analyzers classify work into task categories from tool usage and message keywords, calculate token costs using LiteLLM pricing cached locally, and scan coding-agent sessions for patterns such as repeated file reads, low read-to-edit ratios, uncapped shell output, unused MCP servers, bloated configuration, and retry-heavy work. The optimize command produces estimated savings and fixes; applicable configuration changes are backed up and journaled so they can be undone and later compared with observed usage. The yield command heuristically correlates sessions with Git commits to classify spend as productive, reverted, abandoned, or ambiguous. The guard feature installs opt-in Claude Code hooks for soft and hard session-spending caps, checkpoints, and status-line reporting. CodeBurn also exposes local usage and savings through an MCP server over stdio. The CLI reads data from the local machine without wrappers, proxies, API keys, or uploads; the optional desktop applications can send anonymous bucketed telemetry after consent. It requires Node.js 22.13 or newer, and the repository is licensed under MIT.

Bot Crossing is a local web application that visualizes coding-agent threads as an astronaut colony. It reads session records from installed agent harnesses on the user's machine, maps repositories to persistent hex zones, and represents sessions as astronauts whose behavior reflects states such as running, waiting, errored, merged, archived, or inactive. Selecting an astronaut or repository opens its associated thread through the owning harness, while the application can also start sessions, reveal folders, mark threads viewed, and archive them. The application uses per-harness adapters to scan local session files and merge them into a common thread model. It currently documents support for Claude Code, Codex, and Cursor, with adapters for other harnesses able to be added under `server/harnesses/`. Astronaut navigation uses a rasterized navigation grid, A* routing, string-pulling, collision handling, and crowd separation. The browser renders the colony with Three.js techniques including instanced GPU-skinned astronauts, shader-based construction progress, procedural terrain and surfaces, and configurable planets, lighting, and quality settings. Bot Crossing runs locally through a Vite development server or a built Node server, binds to loopback by default, and stores the colony layout in `data/colony.json`. It does not upload session data or use an account; it reads harness records and writes only the colony state plus the documented archive field. The repository requires Node 22.13 or newer, supports macOS, Linux, and Windows, and is licensed under MIT. Bundled Kay Lousberg assets are separately covered by CC0, while bundled Material Design Icons use Apache-2.0.

TeamAI is an open-source CLI for managing a team's skills, rules, documentation, agents, hooks, MCP configuration, environment settings, and knowledge across AI coding tools such as Claude Code, Codex, Cursor, CodeBuddy, WorkBuddy, and OpenCode. It is installed with npm as `teamai-cli` and uses a shared Git repository as the team's source of truth. The CLI distributes resources through an administrative `push` → review and merge → `pull` workflow. Session-start hooks can run `teamai pull` to synchronize the shared harness into project- or user-scoped local AI-tool directories; roles, tags, and subscribed source repositories control which resources members receive. TeamAI also provides a knowledge layer: `teamai import` and `teamai codebase` build a searchable team knowledge base and codebase graph, while `teamai recall` uses BM25 search with graph-boosted reranking and can deploy a recall subagent into supported AI tools. Code relationships are extracted with a WebAssembly tree-sitter parser for TypeScript/JavaScript, Python, and Go, with regex-based heuristic extraction as a fallback and for other languages. Additional commands support friction-based learning suggestions, privacy-scrubbed session summaries, maintenance of stale or low-confidence knowledge, usage digests, a web dashboard, member and role management, package and plugin installation, diagnostics, and uninstallation. The repository is maintained by Tencent and contributors and is licensed under MIT.

tokentab is a local tool that reads Claude Code session logs and converts token counts into cost reports organized by model, project, day, and activity. It provides JSON output and a local dashboard, with the reported data remaining on the user's machine.

camelAI is an AI coding assistant platform built on Cloudflare Workers and Durable Objects. Each chat thread runs a coding agent in its own persistent workspace, retaining chat state and project files while providing workspace-aware tools. The platform connects to APIs, databases, email, Slack, Discord, and other services; supports application builds, notebook analysis, and SQL execution in isolated short-lived sandboxes; and provides previews and publishing through Workers for Platforms. Its agent harness is built on pi's lower-level agent-loop and state-management libraries. The agent uses native file tools and writes JavaScript rather than shell commands; Code Mode executes that JavaScript in fresh V8 isolates with explicit platform and connection methods. Project files are stored in WorkspaceFilesystem Durable Objects, using Durable Object SQLite for small files and R2 for larger ones, while Cloudflare Artifacts provides Git history. Linux sandbox containers are reserved for jobs requiring them, including builds, notebook analysis, and database queries, and credentials remain outside the execution sandbox. The platform can use Anthropic, OpenAI, OpenRouter, Bedrock, and custom model endpoints. Its repository is released under the MIT License and includes local development setup using Node.js, Bun, and a Cloudflare account.