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joshuaswarren/remnic

joshuaswarren/remnic

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality,…
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Star count
223 ★ · joshuaswarren/remnic · read from the repository page · (checked 2026-10-16 20:00:20)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-10-10 · last seen 2026-10-10 · seen 6× · listed by 1 sources
Score
score 103 · 223 ★ · 1 sources · repo
Install
npm install -g @remnic/cli
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: npm install -g @remnic/cli. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: AI Agent. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository joshuaswarren/remnic;first catalogued 2026-10-10;last seen 2026-10-10。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Remnic

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Open-source, local-first memory and context for AI agents. One memory store, every agent.
Website: **remnic.ai** - guide library, comparisons, benchmarks, and changelog.
- **Your files, your machine.** Every memory is a plain markdown file with YAML frontmatter on your disk. No database, no cloud dependency, no subscription. cat, grep, edit, and version-control your memory with the tools you already use.
- **One memory across every tool.** OpenClaw, Claude Code, Codex CLI, Cursor, ChatGPT (developer mode), Hermes, Replit, Pi, omp, Factory Droid, and any MCP client read and write the same store. Tell one agent a preference; every agent knows it.
- **Automatic extraction and recall.** Remnic watches conversations, distills durable knowledge, and injects the right context back when it is needed.
- **Sharp retrieval.** Hybrid search (BM25 + vector + reranking) over rebuildable indexes, with graph recall, memory-worth scoring, and per-result provenance you can inspect.
- **MIT licensed.** Free, open, and built to be forked.
Build for Good 2026: What Helps Me
**Explain what helps once. Share only what you choose. Stop sharing at any time.**
What Helps Me is a private support passport built on Remnic. It turns selected
memories into short first-person cards. The owner reviews every word before a
helper can see it.
No OpenAI API key is required. Manual cards need no model. Draft and question
calls use the owner's existing Remnic route, including an OpenClaw gateway or a
local model.
Watch the narrated 102-second product story
or read the full Build for Good entry.
The walkthrough always shows a **Synthetic replay** banner. It is not live-call
proof. The separate live runner exercises the real standalone server and model
flow. Its receipt validator checks internal consistency, not independent proof.
What we built
- An owner workspace for selecting exact memories, drafting cards, editing each
draft, and approving each card.
- Exact-version share links that last from five minutes through seven days.
- A helper view that shows approved cards only and cites the card behind each
grounded answer.
- Immediate **Stop sharing** controls. Every helper request checks durable grant
state again.
- A provider-neutral model path. It uses Remnic's existing OpenClaw gateway,
local, compatible remote, and optional direct OpenAI routes.
- A strict live run record for draft, approval, sharing, question, revocation,
and the final locked read. It stores no private text, secrets, or raw model IDs.
The framing comes from NHS England's health and care passport guidance.
The NHS guidance says the person owns the passport, chooses its contents, and
chooses who sees it. What Helps Me applies those rules to a broader
self-advocacy tool. It is not a medical record, care plan, IEP, diagnosis tool,
or emergency guide.
Who it helps
What Helps Me is for people who often need to explain how others can support
them. It also helps trusted helpers act on clear, current guidance without
seeing the person's full memory store.
How it will be used
1. The owner selects one to 20 notes.
2. The owner checks a clear consent box or writes a card by hand.
3. The configured model drafts up to eight cards.
4. The owner edits and approves each card.
5. The owner shares exact card versions for a set time.
6. The helper reads the guide or asks a grounded question.
7. The owner selects **Stop sharing** to lock the link.
The model is the scribe. The person is the author.
How Codex helped
Codex traced Remnic's existing memory, model, HTTP, MCP, and browser contracts.
It then built the feature as a seven-layer PR stack. Codex also wrote adversarial
tests, checked WCAG states at four widths, and built the privacy-safe live run
record. The owner approval and revocation rules remain deterministic core
code. A model cannot bypass them.
How to run the project
Run the no-key synthetic walkthrough in about five minutes:
Open the printed loopback URL. The replay uses synthetic data and labels itself
on every screen.
Run the standalone live flow with a local, direct, or compatible model route:
The validator checks the self-reported receipt schema and hash consistency. It
does not convert that receipt into independent attestation.
For an existing OpenClaw install, keep the current gateway providers and model
auth. Enable the feature, owner HTTP bridge, and gateway route in
openclaw.json:
Set OPENCLAW_REMNIC_ACCESS_TOKEN to a private local bearer token. This token
protects the browser bridge. It is not a model provider key. Open
Source
github · https://github.com/joshuaswarren/remnic
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