agent-trace

AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.

Observability for AI agents. See what your agent did, why it cost that much, and what to fix.

Extensible, low overhead Java Bytecode instrumentation agent for optimizing Java app performance

Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.

The Audited Context Generation (ACG) Protocol prevents AI hallucinations with a dual-layer system. The UGVP layer links every fact to a precise source for verification. The RSVP layer audits the AI's logical reasoning when combining facts. This creates a fully transparent, machine-auditable trail for both source and logical integrity.

Local open-source dev tool to debug, secure, and evaluate LLM agents. Provides static analysis, dynamic security checks, and runtime monitoring - integrates with Cursor and Claude Code.

A curated list of research on LLM-agent traces: evidence tracing, execution provenance, failure attribution, observability, runtime safety, memory provenance, and learning from traces. Companion list of arXiv:2606.04990.

AgentDossier - A vendor-neutral registry of AI agents that shows what compliance and trust evidence exists for each Agent (HIPAA, SOC 2, FedRAMP, ISO42001, EU AI Act), Traces and CVEs. Agents are discovered through the open standards they publish (ARD, A2A, MCP) as well as public registries, and same engine can scan enterprise's own network.

面向 DOCX 学术文档的可验证 AI Agent：规划、确定性执行、重读验证、Evidence 与 Human-in-the-loop。

Local-first trace recorder and searchable HTML viewer for AI agent runs.

See what your AI coding agents actually did: a VS Code extension that follows Claude Code, Codex and Antigravity live and turns every session into a replayable trace.

Tamper-evident flight recorder for AI-agent activity (alpha)

🛠️ Enhance RAG systems with ACG to reduce hallucinations in LLM responses by improving accuracy and grounding in reliable external knowledge.

View and debug coding agent transcripts — Claude Code, Codex, and more. Local-first, beautiful, searchable.

基于 Event 的 LLM-wiki 式 web 前后端 Coding Agent，有 trace 和 Eval 系统。

Local-first memory for coding agents: one complete record of every Claude Code, Codex and pi session, memories with evidence, nothing lost.

An MCP server for planning, execution and validation: Structured reasoning (think_*) + execution tracking (ship_*) + roadmap + signals for AI coding agents. Rust · stdio + Streamable HTTP · git-native, Agent-Trace-compatible traces.

AI 审计网关与责任协议 — 一行 base_url 生成不可篡改的审计轨迹

Portable JSON for AI agent sessions. Spec 0.2.0. Converts Claude Code, Grok, Codex, Cursor, OpenCode, and Watchtower 5.x.

Know which AI agent wrote each line of your code, why, and what it cost — then undo just that agent's work.