Ross ROSS = Recommend OSS · open-source software intelligence for agents

openTrinity/mycontext

MyContext is a local-first desktop app for everyday communication and knowledge work observed · 2026-08-28

github.com/openTrinity/mycontext · homepage · TypeScript · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

57/100

  • Activity 98
  • Release rhythm 35
  • Longevity 2

Flags: no_releases young no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 30
  • days_rel: n/a
  • days_push: 16
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1998 stars · 133 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MyContext is a local-first desktop application that builds a persistent personal work context layer by connecting signals from instant messaging, documents, calendars, meetings, and local activity into a private, evolving context graph. It enables large language models, local agents, and authorized AI applications to retrieve from and reason over this personal context, with features like a digital self for handling work conversations and natural-language search with traceable source material.

Use cases

  • search my work history across messages and documents in natural language
  • build a personal knowledge graph from my conversations and meetings
  • let AI draft replies to work messages in my own style
  • connect scattered work context from IM, calendars, and docs into one place
  • give local AI agents access to my personal work context
  • find past project decisions and shared notes quickly
  • keep a private, on-device record of who I work with and what I'm working on
  • track follow-ups and things that still need attention from my communications

When to choose

  • you want a private, local-first AI workspace that keeps your personal context on your own device
  • you need to unify scattered work signals (IM, docs, calendars, meetings) into a searchable knowledge base
  • you want AI assistants that reason over your actual work history instead of starting from empty prompts
  • you prefer explicit approval gates before any AI takes consequential actions on your behalf
  • you want to choose your own models and gateways for AI assistance

When to avoid

  • you need a stable, production-ready tool — it's in developer preview with breaking changes expected
  • you can't tolerate database migrations that may require re-running collection or losing non-reversible changes
  • you want a cloud-synced solution accessible from multiple devices
  • you need team-wide or organizational knowledge sharing rather than individual personal context
  • you're unwilling to act as an early tester for rapidly iterating software

Facets

application · maturity experimental

search-engine rag llm-inference agent-framework chatbot nlp database self-hosted artificial-intelligence large-language-models developer-tools privacy self-hosted cross-platform personal-context-graph local-first digital-self sqlite-vault semantic-search knowledge-work ai-workspace developer-preview retrieval-augmented-generation ai-agents knowledge-management desktop local

2 sources

Member repositories

RepositoryRoleHealth v2
openTrinity/mycontextmain57

For agents

markdown · JSON · MCP: product_card(name="openTrinity/mycontext")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem