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Local-first memory for you and your coding agents. Every session and PR, searchable; the raw data is yours to analyze.

1 starsRust

Distributed LLM tracing and GH PR/issue linking [Apache 2.0]

by supo·Jun 30, 2026·1 point·0 comments

AI Analysis

●●SolidSolve My ProblemCozy

Local-first agent memory with MCP server when Cursor and LangSmith already exist.

Strengths
  • Local-first with no API keys—raw JSONL and SQLite index stay entirely on your machine.
  • MCP server integration lets coding agents query session history over stdio.
  • TUI built with charmbracelet/vhs for browsing sessions, PRs, and emergent topics.
Weaknesses
  • Agent observability is getting crowded—Cursor, LangSmith, and others already track sessions.
  • Core concept is straightforward recording and searching without novel technical approach.
Target Audience

Teams using coding agents (Claude Code, Codex, Cursor)

Similar To

Cursor · LangSmith · Warp

Post Description

See where coding agents struggle, what tools eat tokens and how it all links to GitHub PRs & issues.

I open-sourced a tool that streams data from all your dev machines, VMs & sandboxes into S3. You can run your own analysis from there or use the bundled TUI.

Why I built this: I run a team of ~10 AGI-pilled engineers and struggle to keep track of how the work we do aligns to the milestones/projects we look in planning.

synty helps me identify areas of work that are getting a lot of agent/human attention but they are not accounted for in planning and we use this data to justify re-factoring/documentation efforts to remove friction for agents

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