Persnally learns who you are from your AI history — your chats, your code, your decisions — so every tool you use stops treating you like a stranger. Your AIs read it, and can even ask it what you'd do. It lives on your machine, and it's yours.
ChatGPT doesn't know what you told Claude. Your coding agent relearns your stack every session, or stops to ask. So you paste the same context — your tools, your conventions, your taste — into tool after tool.
Each meets you as a stranger. And the model vendors can't fix it — their business is keeping you inside their walls, not sharing you across them.
To Claude said before
“My stack: TypeScript, Next.js, Tailwind.”
Under the hood
More than memory. An engine.
Structured events, derived views, and a walkable provenance graph — explainable, decay-aware, and entirely your own.
Cross-vendor · MCP
One context, every tool reads it.
persnallyd · MCPserving
Claudepersnally_context
Cursorpersnally_context
Claude Codepersnally_ask
your agentpersnally_search
speaks MCP — adopted by every major AI
Provenance
Every claim cites its evidence.
Guards user trust as non-negotiable.
↳ why does it think this?3 events
Imported 142 Claude conversations
Vetoed telemetry without consent
Chose local-first storage
Per-client scopes
Decide exactly what each AI can see.
ClaudeAllowed
CursorAllowed
Claude CodeScoped
agentsScoped
How it works
Your context, in every tool you touch.
Step 01 · Import
Import your history
One command finds your Claude & ChatGPT exports, your Claude Code sessions, and your git repos, and reads them.
$ persnally import
Claude & ChatGPT exports
Claude Code sessions
git repos
Step 02 · Learn · local
It learns, on your machine
A local daemon turns that activity into a structured, evidence-linked model of who you are — kept on your machine, never our cloud.
building your model…
ships the smallest design
prefers SQLite
guards user trust
on your machine
Step 03 · Serve · MCP
Every AI reads it
Connected over MCP — the open protocol your AI tools already speak — Claude, Cursor, and your agents read your context the moment a session starts.
Claude · session started
↳ loaded your context
persnally_context 2ms
Answers, not just recall
The only context engine your AI can ask.
Other tools store facts about you. Persnally answers what you'd do — your agents ask it directly, get an answer with a confidence score, and it hands the question back to you when the evidence is thin. No confident guessing.
It answers, or it defers
“Would they want tests here?” “What tone for this email?” Your agent asks Persnally instead of interrupting you. Below its confidence bar it says so and sends the agent back to you — never a made-up answer.
persnally_ask “tests before I merge?”
↳ yes — you demand proof before merge; add e2e on the changed paths.
confidence 0.92 · 3 evidence events
Correct it once, it sticks
Tell it it's wrong about you and the correction becomes authoritative — it outranks everything the model inferred, and the wrong answer never comes back. The model gets sharper every time you push back.
persnally correct “I use pnpm, not npm”
↳ recorded — authoritative.
every future answer respects it
See the difference
Same prompt — “write a Slack message telling my team the deploy went out” — asked of a blank AI and an AI that read your Persnally:
Generic AI
🚀 Deploy is live! Just pushed the latest changes to production. Everything looks good so far — let me know if you spot anything unexpected.
AI + Persnally
deploy is out. watching sentry/logs for the next hour, will confirm clean or flag issues here.
Terse, lowercase, no emoji, and it knew to watch Sentry — because that's how you actually work. Not configured; learned.
How it compares
Everyone remembers. Persnally answers.
The category is full of memory. What no one else does: answer what you'd do, learn when you correct it, and let you verify all of it on your own machine.
Capability
Persnally
claude-mem
Mem0 · Supermemory
Unabyss · cloud vaults
Your AI can ask it — answer with a confidence score, defers when unsure
Learns when you correct it — the correction outranks everything inferred
Synthesizes a model of you — taste, voice, how you decide
Local plaintext on your machine + source you can audit
Reads your chat exports + git history
has it · partial · no. Verified against each product's own docs and repos, July 2026. claude-mem is genuinely local and open-source too — our edge isn't custody alone, it's the answering loop and modeling you across every AI, not just your code.
Your data, your rules
A context engine you can actually trust.
Trust isn't a privacy policy here — it's the architecture. Not promises; properties you can check.
Local-first
Your context lives in ~/.persnally on your machine — not our cloud, not any vendor's silo. Serving it to an AI is a local read: instant, offline, free.
~/.persnally
persnally.db
config.json
stays on your machine, never our cloud
Truly deletable
Forget a topic and it erases the events and everything derived from them, then rebuilds. No tombstones, no residue.
$ persnally forget “rust”
18 events erased
derived views rebuilt
no tombstones · no residue
Provenance-complete
Every claim links to the exact events behind it. “Why does it think this?” is a real lookup, never a guess.
↳ why “guards user trust”?
#412vetoed telemetry
#087chose local-first
#203removed analytics
3 events · 0 guesses
Source-available
Read the engine, audit the claims, run it yourself. The event schema and MCP interface are an open spec.
A database of you — you save, you search, you retrieve
Recalls facts; can't answer what you'd decide
Correct it? Delete a memory, at best
A black box — it can't tell you why
Persnally
your own context engine
A model of you your AI can ask — with a confidence score
Answers what you'd do; defers to you when unsure
Correct it once and it sticks — outranks everything inferred
Every claim cites its evidence — local, auditable, deletable
Everyone can remember facts about you. Persnally is the one your AI can ask — it answers what you'd do, defers when it's unsure, and learns the moment you correct it. All of it on your machine, and yours.
Everything that touches your data runs on your machine and costs nothing. Pro adds cloud conveniences on top — and the cloud only ever carries ciphertext, never your plaintext.
Free
$0 forever
The full engine — import, learn, synthesize your profile
Serve your context to every AI over MCP
The dashboard: inspect, audit provenance, delete
Bring your own key, or run fully local with Ollama