openTrinity/mycontext
MyContext is a local-first desktop app for everyday communication and knowledge work 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
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
- readme: https://github.com/openTrinity/mycontext · fetched 2026-08-28 · 8125e2ac2624
- homepage: https://mycontext.md · fetched 2026-08-29 · 0d5dab5f46e4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| openTrinity/mycontext | main | 57 |
For agents
markdown · JSON · MCP: product_card(name="openTrinity/mycontext")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem