
supragnosis
io.github.Ashon由 GitHub 账号 Ashon 发布v0.11.0更新于 Oct 29, 2026
Memory for AI agents that remembers who said it.
概览
面向编程代理的本地优先共享记忆服务器,记录每条主张由谁提出,保留来源、冲突可见,同步需主动开启。
- 可以做什么
- 记录自由文本或结构化观察,含实体、关系与来源信息
- 以关键词加本地语义检索查找知识,精确查询实体并做有界图遍历
- 生成工作区共现图谱,并把重复出现的模式提升为类型词表
- 提交、列出与审阅对正典的变更提案,并给出裁决会推翻内容的差异
- 查看同步状态,向联邦节点拉取或推送观察记录
- 提供简报、主题问答、整理草案与提案初审等提示词
- 适用场景
- 当多个代理、多台机器或多名同事写入同一项目记忆,需要知道谁说了什么、让相互矛盾的主张并存,并且只共享选定工作区而不依赖厂商云时适用。
- 运行要求
- 以本地进程运行:通过 Homebrew 或安装脚本部署守护进程,或使用已发布的容器镜像以 stdio 方式运行。MCP HTTP 守护进程仅监听回环地址并要求 bearer 令牌,令牌从令牌文件读取,stdio 桥接自行读取。语义检索需可选下载约 224 MB 的本地嵌入模型;无需账号或 API 密钥。
安装
在 SourceWeft 中
- 打开 控制台中的 supragnosis,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
supragnosis
Memory for AI agents that remembers who said it.
[CI] [Coverage] [End-to-end scenarios] [License]
Shared project memory for coding agents, with receipts. supragnosis is a local MCP server for Claude Code, Codex, Cursor and other MCP clients. Your agents record what they learn as they work, and every claim keeps who asserted it, on whose behalf, on what basis, and how far this node trusts it. Claims that contradict each other stay side by side for you to settle, instead of the later one overwriting the earlier.
It is built for a small team that wants one project's memory on each of its machines and shared with teammates, without a vendor cloud: one binary, an embedded store, and no account. A workspace leaves your machine only when you list it.
The problem it solves
Most agent memory answers what was remembered. It does not answer who said so.
That is fine for a single assistant remembering one user's preferences. It stops being fine the moment two agents, two machines, or two people write into the same memory:
- Two agents assert opposite facts. Last write wins, and the disagreement is gone.
- An agent summarizes a poisoned document into memory. Nothing records where it came from, so nothing can trace what else that summary contaminated.
- You want to share project knowledge with a teammate but not your private notes. There is no boundary to draw, because the store has no concept of whose knowledge this is.
- A credential ends up in the log. There is no way to find it and no way to get it out.
supragnosis treats an assertion and a fact as different things. What is stored is never "X is true" but "host H, at time T, on the basis of S, asserted X". The current belief is computed from those assertions by a policy you can replace, so changing your mind about how to resolve conflicts means recomputing, not rewriting.
What that buys you
Quick start
supragnosis connect with no app lists them and says how each one is connected. It registers
supragnosis bridge with the app: a stdio server that relays to the daemon and reads the daemon's
bearer token from ~/.supragnosis/mcp.token (mode 0600) itself, so no app's settings hold a copy.
That also reaches Claude Desktop, which takes local servers over stdio only. A client that wants a
URL instead can use http://127.0.0.1:7373/mcp with that token; supragnosis status prints the
command, reading the token from its file rather than printing it.
With Claude Code, connect also registers a hook, so the memory fills without being asked: after a
commit the agent made, it is asked for the decision behind the change that the diff does not show,
and a session starts knowing what the project's workspace holds here. --no-capture leaves the
hook out; the hook never writes anything itself (docs/client-connect.md
Section 12).
With the desktop app (brew install --cask supragnosis), its Settings page (Settings... in the tray,
or Cmd+,) does both without a terminal: Start at Login keeps the daemon running, and AI apps connects
Claude Desktop, Claude Code and the others with a click. After brew upgrade, supragnosis restart loads the new binary -
until then supragnosis status and the tray say the daemon is running the old one.
Not on Homebrew:
Retrieval is semantic as well as keyword: a local embedding model (multilingual, 224 MB, no API
calls) that service install fetches once into ~/.supragnosis/models, or supragnosis embed fetch does by hand. Until it is there, retrieval is keyword only and supragnosis status says
so. The daemon holds about 1 GB once a tool call has loaded the model; SUPRAGNOSIS_EMBED=none
keeps it keyword only and small (docs/semantic-retrieval.md).
Removing it takes the daemon off login, disconnects each AI app and deletes the binary, and leaves
the knowledge in ~/.supragnosis unless you remove that too
(deploy/README.md, Operations).
Your first minute
Ask the agent to remember something, in whatever words you would use:
you: remember that auth in this repo is JWT with a 15-minute expiry, decided because the mobile client cannot hold a session cookie
The agent calls observe. What lands is not the sentence - it is an observation carrying the
entities it names, the relations between them, and who said it:
Later, in a different session, with none of that in the context window:
you: how does auth work here?
agent: JWT with a 15-minute expiry. That came from you directly rather than from reading the code, and the stated reason was that the mobile client cannot hold a session cookie.
The second half of that answer is the point. A search hit is the id of what matched, and that id
leads to the provenance: get_entity lists every attestation behind an entity, and the observation
it came from (supragnosis://observation/{id}) has the original text and who said it, for whom and
when. So the agent can tell you who said it and how sure to be, and you can read it yourself.
The viewer runs alongside the daemon on a unix socket - the desktop app opens it, or read it directly:
Watching it while an agent works is the part that is hard to convey in text:
[The supragnosis viewer: an entity/relation graph with a curation panel beside it]
What the agent gets
13 MCP tools, each one recurring intent:
observe- free text plus optional structured assertions. No schema required up front.search_knowledge- keyword retrieval (every term, any order) plus semantic, labelled with the mode it used.get_entity,traverse- exact lookup and bounded graph walks.workspace_map- co-occurrence hyperedges: what tends to get said together.define_type- promote a pattern into the workspace glossary.propose,review,list_proposals,get_proposal- the gate to the canon.sync_status,sync_pull,sync_push- federation.
Plus dereferenceable resources: supragnosis://workspaces,
supragnosis://workspace/{ws}/graph, supragnosis://workspace/{ws}/hypergraph,
supragnosis://workspace/{ws}/types, supragnosis://observation/{id}.
What you get
Four MCP prompts, which a client offers as commands (in Claude Code, /mcp__supragnosis__brief):
brief- what a workspace's knowledge says now: its themes, what is contested, what rests on a single agent claim, and what is waiting on your decision.what-do-we-know-about- what the store holds on one topic, with sources, and what it does not.curate- the model drafts proposals for the tidy-ups the curation signals point at.review-proposal- a first-pass review of one proposal: what merging it would change, and a recommendation.
Your model writes the brief from current state and nothing is stored. A judgment worth keeping becomes a proposal, and you cast the verdict in the app's Review panel. The canon is what remains, and the next brief reads it. See docs/prompts.md.
How it works
Three ideas, and everything else follows from them.
Event sourcing. Immutable, content-addressed observations are the source of truth. The entity and relation graph is a projection you can throw away and rebuild by replaying the log. Changing the resolution policy is a re-projection, not a migration.
Topology-independent convergence. Nodes holding the same set of observations materialize the same graph, no matter which path events took or in what order they arrived. Content addressing dedups, hybrid logical clocks order, and the projection is a deterministic fold. Local-only, hub-and-spoke, direct peer, or a mix: the topology is an operational choice, not a semantic one.
Hexagonal ports. The domain crate has zero IO dependencies. Store, embedder, and
transport sit behind ports held to one conformance suite. This is not an aspiration: a third
store adapter was added and the original backend deleted, a different query paradigm and a
different storage engine, without changing a line of core or engine.
Documentation
Status
Working today: hybrid retrieval, belief resolution with contested claims surfaced, identity resolution with an entity merge gate that can be reversed, hub-and-spoke log replication with ed25519-signed events over TLS, and a live viewer.
Not yet: bitemporal time-travel queries, multi-principal governance, retrieval demotion and idle consolidation, and automatic type induction.
That second list is not a roadmap gesture. Every unmet demand is a named clause with a
declared evidence state, tested by
principle_coverage.rs, and every
deferral names the milestone that repays it. If a guard is deleted or renamed, the clause
reports itself as unguarded. See architecture.md Section 14.
Compatibility. A store is never misread. A release upgrades a store an earlier one wrote, in
place. It refuses a store a later release changed past it, and changes nothing in it: the message
names the release to install. An id or a signature, once made, verifies under every later build.
Before 1.0 a minor release may raise what a store requires, and its release note says so first.
The CLI's --json answers carry a schema number. A breaking change to the MCP tools is listed
under Breaking changes. The whole promise, and what it leaves to
federation's design (the sync wire), is docs/compatibility.md.
Configuration
Everything has a default that works. supragnosis --help for the full surface;
docs/architecture.md for the reasoning behind the defaults.
Most used:
SUPRAGNOSIS_WORKSPACE- default workspace (defaultdefault)SUPRAGNOSIS_DATA_DIR- store directory (default~/.supragnosis/redb)SUPRAGNOSIS_EMBED-fastembed(default) |hashing|none.noneis keyword onlySUPRAGNOSIS_EMBED_MODEL-multilingual(default) |bge-small-en(English only, half the size)SUPRAGNOSIS_CONFIG- path tosupragnosis.toml. No file means a standalone nodeSUPRAGNOSIS_MCP_AUTH-on(default) |off.offdrops the daemon's bearer check
The MCP HTTP daemon is loopback-only and requires a bearer token. Those are two different
guards because loopback answers a different question than people assume: it confines the surface
to this host, not to one user, so on a shared machine any local account could otherwise
observe, review and sync_push through it. The token (~/.supragnosis/mcp.token, mode 0600)
is what makes the surface yours, and it is the same access control the viewer gets from its socket
file - the viewer could move to a unix socket, and the daemon cannot, because MCP clients speak
HTTP.
The viewer has no TCP port at all: it serves over a unix socket whose 0600 mode is the access control, and every response carries a Content-Security-Policy. A non-loopback federation bind requires TLS and someone admitted (a node or an open invitation), and refuses to start otherwise.
A second machine joins with a code: supragnosis invite on the machine that will be the hub,
supragnosis join on the other (docs/pairing.md). Each keeps its own daemon,
and the two sync.
Upgrading from a pre-0.2 store
Through v0.1.21 the store was Cozo. This build reads only redb and refuses to start beside an un-migrated Cozo store rather than coming up empty next to one. Read docs/store-migration.md Section 5 first, then:
License
MIT OR Apache-2.0, at your option. See LICENSE-MIT and LICENSE-APACHE.
Unless you state otherwise, any contribution you intentionally submit for inclusion is dual licensed as above, with no additional terms.
来源:README.md,提交 bc5a4e6
工具
0版本历史
2- v0.11.0最新Oct 29, 2026
- v0.10.3Oct 24, 2026
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