Traces
www.traces.com- Category
- AI Agents
- Rank
- No. 3585Tools index
Previous survey · No. 3449 ·
- Pricing
- Freemium
- Type
- APP
- Use case
- Productivity & Collaboration
- Interfaces
- Web · CLI · API
- Builder
- market-dot-dev
- Date
About
A collaborative platform for sharing and discovering AI agent traces. Users can publish their AI coding sessions, browse others' agent interactions, and collaborate on AI-driven development workflows across different agents like Claude, Codex, and Gemini.
At a glance
Traces stores and shares coding-agent sessions, including messages, tool calls and results. It is worth considering when a code diff leaves teammates asking how an agent reached the change. The key tradeoff is that sharing the explanation also uploads the session content; visibility and redaction need a deliberate choice before automation.
Good fit
Teams that want a reviewable history of agent work across coding tools. A shared session can preserve the attempted commands, intermediate results and conversation that a final commit omits. Manual sharing, agent hooks and Git hooks serve different levels of automation, and documented JSONL export offers an exit for analysis or archiving.
Consider something else when
Your sessions contain material you cannot send to a hosted service, or a PR description already supplies enough context. Link-only sharing is not member-only access: the documented direct mode permits anyone with the link. Automatic hooks can also share more continuously than a one-off handoff requires.
Start here
After reviewing the installation and authentication requirements, begin with a disposable session and the documented traces share --list command to identify the exact candidate. Check its content, choose visibility explicitly and only then consider sharing. The documented default is direct for individual namespaces and private for organisations. A successful share returns a URL; that upload was not performed for this guide.
Cost and requirements
The public Core tier is free for individuals and small teams, with unlimited traces and teams and up to 50 seats. Larger teams, self-hosting/on-premises deployment and priority support require a custom arrangement. Synced content is stored by Traces; the privacy policy allows deleted data to remain in backups for up to 90 days.
Limits to know
Secret redaction is a provider claim and should not replace inspection of a session that may include source, paths and tool outputs. Public documentation describes exports as a ZIP of JSONL files, with a 50 MB limit per file that may require narrower date ranges. No upload, resume, export or team access-control workflow was tested; the recommendation rests on the documented mechanism and public interface.
Related work
Sources checked 2026-10-30. Source-based assessment.
What it can do
Publish AI coding sessions as traces
AI agent interaction data and coding session logs → Published trace accessible to other users
Browse AI agent interaction histories
Search queries or filter criteria → List of relevant AI agent traces from other users
Discover AI development workflows
Agent type or workflow category preferences → Curated collection of AI-driven development patterns
Share traces across different AI agents
Agent traces from Claude, Codex, Gemini, or other AI systems → Cross-platform trace repository
Collaborate on AI development projects
Shared trace data and user contributions → Collaborative workspace with merged AI insights
View detailed AI agent interaction logs
Selected trace or session ID → Step-by-step breakdown of AI agent decision-making process
Why it made the leaderboard
Publish your AI coding sessions and browse other people's agent traces across Claude, Codex, and Gemini — see how others actually drive their agents, not just the final diffs.
Intel on Traces
- Cohere publishes traces of Qwen3.8 emitting odd URLs in agent commands
- Claude Platform traces now export to LangSmith via OTel
- Using Parseable with Datasette for OpenTelemetry traces
- LangSmith Fine-Tuning turns agent traces into fine-tuned models
- OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows
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