DevRecall

git log for your whole career

OtherLive
Visit site ↗In the record since 4d ago
Runs on
macOS
Open source
yes

DevRecall — recall what you shippedits own headline

8 contact fields stay closed. Everything it says about itself is open; how to reach it needs an account. Open them →

What it says it will not do

DevRecall is MIT-licensed end to end — CLI, desktop app, OAuth relay. There's no proprietary core, no telemetry hidden behind a flag, no "open core" plus paid cloud.Free plan

How it runs3

DevRecall runs entirely offline
Runs offline
MIT-licensed and open source.
Open source
Platform: macOS (desktop app + CLI).
Runs onmacOS

What it offers as proof1

Docs -> https://docs.devrecall.dev/

Who it says it is for1

DevRecall is on-device memory for engineers.
Made forengineers

What it names1

Git local repos GitHub prs · reviews · issues GitLab mrs · pipelines Slack threads you sent Calendar google · ical Linear issues · cycles Jira tickets · sprints Confluence pages · comments Bitbucket prs · reviews
Data directionBitbucket — reads · Confluence — reads · GitHub — reads · GitLab — reads · Jira — reads · Linear — reads · Slack — readsIntegrates withBitbucket · Confluence · GitHub · GitLab · Jira · Linear · SlackNamesBitbucket · Confluence · GitHub · GitLab · Jira · Linear · SlackTouchesBitbucket — records · Confluence — records · GitHub — records · GitLab — records · Jira — records · Linear — records · Slack — messages

About

DevRecall keeps a private, searchable index of your entire work history — on your laptop, never in the cloud. It pulls from Git, GitHub/GitLab, Slack, Google Calendar, Jira, Linear, and Confluence into a local SQLite database, then lets you: • Chat with your past work — "what was that auth bug I fixed in February?" — with every answer citing the real commits and PRs it read • Auto-generate standups, weekly reports, and brag docs from actual signal, not memory • Plug into your AI coding agent as an MCP server, so Claude Code, Cursor, or Codex can recall your project history and decisions inline Bundled embeddings run offline; use local Ollama or bring your own OpenAI/Anthropic key. Tokens stay in your home directory, raw activity never leaves your machine. MIT-licensed and open source. Platform: macOS (desktop app + CLI). The CLI and MCP server also run on Linux; Windows isn't supported yet.

Discussion (0)

Sign in to post.

No thesis posted yet. Be the first.