
Hexis
io.github.Bevel-SoftwarePublished by GitHub account Bevel-Softwarev0.1.0Updated Oct 27, 2026
Git-backed platform for skills, tools, and context for AI agents
Overview
Git-backed control plane that lets an AI assistant discover, load and propose changes to your team's approved skills, tools and knowledge-base context over MCP.
- What you can do
- Discover and load skills and company context the user's role can access, without copying prompts between tools
- Search and look up skills on demand (list_skills, search, get_skill) instead of loading the whole catalogue into context
- Read knowledge-base pages, including relative links and images kept in assets folders
- Propose new skills or improvements, which arrive as reviewable change requests on protected branches
- Connect from any MCP-capable client, with per-file access control and a git audit trail of who changed and approved what
- When to use it
- Useful when a team wants one centrally managed, versioned place for agent skills, tool manuals and context that many agents can consume, and wants non-technical people to propose and review changes rather than editing prompts in each tool.
- Requirements
- Remote Streamable HTTP endpoint (the public demo at demo.bevel.software or your own deployment); OAuth sign-in in the browser is required. The demo accepts a Google account. Self-hosting needs Docker with Compose and an empty git repository plus a read/write git token; a local variant runs via npx and needs Node 22.13+ or 24.
Installation
In SourceWeft
- Open Hexis in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.Bevel-Software%2Fhexis/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"hexis": {
"type": "http",
"url": "https://demo.bevel.software/api/mcp"
}
}
}README
[Hexis by Bevel: git-backed skills, tools and context for AI agents]
[GitHub stars] [Live demo] [Apache-2.0 license] [Last commit]
Git-backed control plane for AI-agent skills, tools, context, permissions and identity. Self-hosted and MCP-native.
One place where your company's AI plugins, tools and knowledge live: centrally managed, reviewed and access-controlled, and usable from any AI agent. The open-source core of the Bevel platform.
Why Hexis?
Used by teams at
[osapiens] [BEO] [Unite] [Workpath]
Read more about the learnings that we made which led to Hexis here: Our Medium Article
For teams
One place where engineers and non-technical people alike can browse and load plugins, propose suggestions, and manage access.
For enterprises
Every skill, tool manual and permission is a file in a git repository you own, so the audit trail is the storage layer: who changed what, when, who approved it, and how to undo it. An agent can only do what the person running it can do, resolved per file, and it never holds the credentials it uses. Runs on your infrastructure, behind your own SSO.
Why it's different from MCP gateways:
MCP gateways are uni-directional; users can consume plugins, skills or tools but there is no mechanism here for users to propose changes or share new skills and MCP servers. You can do this via GitHub in the back, but this is not accessible to non-technical users and there is no fine-grained access control for either viewing or the review process.
Hexis can do all of the above specified capabilities for distribution, and has this bidirectionality needed for management.
In Hexis, skills and tool manuals are reviewable files. Anyone can propose a change; on protected branches it reaches the owners of the files it touches and ships only once they approve. Agents propose too: one that hits a broken skill mid-task can suggest the fix, and a person decides whether it lands.
Contents
- See Hexis in action
- Connect Hexis to Cline
- Try the live demo
- Managed hosting
- Deploy with Docker
- Links and images in knowledge pages
- Local development
- Configuration reference
- Skills in Cowork and claude.ai
- Troubleshooting
- Repository layout
- FAQ
Watch the full walkthrough: connect an agent, use company context, review proposed changes, and manage team access.
See Hexis in action
Propose and approve skill changes
Anyone can propose a new skill or improve an existing one. On protected branches, owners review the exact change and approve it before it becomes available to the team's agents.
[A teammate proposes a skill and its owner reviews and approves the change request]
Use your team's skills in Claude
Connect Claude to Hexis over MCP, then ask normally. Claude can discover and load the approved skill instructions and company context your role can access, without copying prompts between tools.
[Claude uses approved team skills and company context through Hexis over MCP]
Connect Hexis to Cline
Cline can connect directly to Hexis as a remote Streamable HTTP MCP server. Install the public demo connection from the Cline CLI:
Complete the OAuth sign-in in your browser when prompted. Cline then discovers
the skills, tools and context your Hexis role can access. For your own Hexis
deployment, replace demo.bevel.software with your deployment's host.
Share skills with the right people
Add teammates to roles or grant access directly when needed. Everyone connects to the same workspace, while each person and their agent only sees what they are allowed to read.
[An owner adds teammates to roles and manages access to shared company content]
Try it first: the live demo
demo.bevel.software is a public instance you can sign into with your Google account, populated with a fictional company's knowledge, skills and tools. The Start here page walks you through the whole loop: connect your own agent over MCP, have it build a sales deck from a skill, watch its proposed improvement arrive as a change request. The demo is shared and read-mostly (visitors propose, owners approve); everything below gets you the same thing with none of the limits.
Want a managed instance?
We run it for you (hosting, upgrades, backups, SSO) and your team just signs in. Write to [email protected].
Deploy it in 5 minutes (Docker)
You need: Docker with Compose on a server (or your laptop; one extra line below), and an empty git repository on any host (GitHub, GitLab, Bitbucket, Azure DevOps, self-hosted) to hold your knowledge base. The app seeds it with a starter template on first run.
Grab the two deployment files — no clone needed:
(Working from a git clone works identically — both files sit at the repo root;
cp .env.example .env.)
Open .env and fill in the four required values (everything else can wait):
Generate the two secrets (run twice, paste one result into each):
For a public deployment served over HTTPS by the bundled proxy, also set the domain — it derives everything else public (origins, proxy hop):
Then start everything. Deploying pulls the image CI publishes on every
release — nothing compiles on your server, so a small instance suffices.
Pin the version in .env (HEXIS_VERSION=0.15.1) so a later pull can't
become an unplanned upgrade — UPGRADING.md covers upgrades
and backups. Building from source instead (a staging server tracking a
branch, a fork) is
deployment/docker-compose.build.yml
(explained in deployment/).
Public HTTPS, no proxy of your own (a bare EC2 instance, a plain VPS):
the https profile starts Caddy in front of the app, with automatic Let's
Encrypt certificates for DOMAIN and the HTTP→HTTPS redirect. First: a DNS
A (or AAAA) record for the domain pointing at the server, and ports 80 + 443
open to the internet (port 80 is not optional — the certificate challenge and
the redirect both use it).
Behind your own reverse proxy (Coolify, Traefik, nginx): skip the profile
— two things terminating TLS for one app is one too many. Instead of DOMAIN,
set the origin values and the proxy hop count in .env, so OAuth redirects
are built right and rate limits see real client IPs instead of the proxy's:
The explicit -f matters in a clone: it skips docker-compose.override.yml,
so the app publishes no host port — your proxy reaches it on port 3001
over the compose network. This is deliberate: a fixed published port makes
every redeploy fail with port is already allocated, because the replacement
container starts while the outgoing one still holds it.
Open your domain and sign in with ADMIN_EMAIL / ADMIN_PASSWORD.
Just trying it on your laptop? Same steps, minus DOMAIN and the origin
values — plus one extra file: docker-compose.yml alone publishes no host
port (see above), and docker-compose.override.yml is the piece that puts
the app on localhost. A clone already has it; next to the wget'd files, fetch
it too:
Then open http://localhost:3001 (a different port:
APP_PORT=8080 docker compose up -d). Leave TRUST_PROXY unset here — with
no proxy in front, trusting forwarded headers would let clients spoof their
own address.
First sign-in: the setup screen
The app asks for the things it could not guess, and tests them against the real host before saving:
- Knowledge-base repo: the https clone URL of that empty repository.
- Git credential: a token with read/write access to it (for GitHub: a fine-grained personal access token with Contents: read & write on that one repo is enough).
- Branch model: which branch is the default and which are protected
(changes to protected branches only land through approved change requests).
The repository's real branches are offered as suggestions; for an empty repo
the default (
main) is fine.
Since the repo is empty, the app initialises it from the bundled template and
writes a roles.yaml whose first Admin is you. That's it: you're in the
workspace. Head to Skills & Tools to make your first plugin and skill, and to
Connect (in the app menu) to hook up an agent over MCP.
Going to production? Configuration reference covers single sign-on, the state you need to back up, health checks, and configuring by environment instead of the setup screen.
Links and images in knowledge pages
Pages are markdown. A link to another page is a relative path, and Hexis opens it in the app:
Images work the same way. Keep them in an assets/ folder next to the pages
that use them, and link them relatively:
Access follows folders, so a person who may read the page may see its
screenshots, and moving the folder keeps every link valid; one shared
Uploads/ folder gives up both. An export that arrives with a sibling
.assets/ folder (Microsoft Loop, for one) can be dropped into the knowledge
base as it is, and the links resolve unchanged. Pasted base64 images are not
supported: save the file and link it.
Local development (run from source)
You need: Node 22.13 or newer (.nvmrc; the engine range is >=22.13 <23),
pnpm 10, git ≥ 2.41, ripgrep (rg on your PATH — the agents' grep tool
searches with it, and the server and the backend test suites refuse to run
without it), and a Postgres 17 (the bundled one is fine):
Open http://localhost:5173 (the dev server proxies to the backend). Useful
commands: pnpm test, pnpm typecheck, pnpm lint.
Migrations run automatically on boot; there is no separate migrate step, in dev or in production.
Reference
- Configuration: every environment variable, SSO setup, secret generation, backups and health.
- Several knowledge bases in one process: the tenants file, what is kept apart, and moving a tenant to its own deployment.
- Troubleshooting: the failures you are most likely to hit, and what causes them.
Repository layout
FAQ
Questions that come up when teams evaluate Hexis as a central, versioned catalogue for agent skills and tools.
How do agents find skills without flooding the context window?
They look them up rather than loading them all: list_skills and search
narrow the field, get_skill returns one skill at call time.
How does an agent know what is in the knowledge base?
Every MCP session starts with instructions: a fixed platform header that says
what Hexis is and to search the knowledge base before answering from memory,
followed by mcp-description.md from the root of your repository, where an
admin describes what the knowledge base holds and when to consult it. Clients
that read the handshake (Claude Code, Claude Desktop, Cursor) put it in the
system prompt; for the ones that do not, the first line is also shown on the
four core tools. The External agent access page shows exactly what agents get.
Which agents can connect?
Any MCP-capable client, including Claude Code, Codex, Cursor, Cline and ChatGPT, each seeing only what its user's role allows.
Agents that run on your own machine can instead start the workspace as a local
MCP server (npx -y @bevel-software/hexis-mcp), which adds your plugins'
local-only tools to everything the hosted endpoint serves. That command needs
Node 22.13+ or 24 — the versions its sandbox ships a prebuilt binary for —
and a client launched from the Dock or a desktop icon may not see npx on PATH
at all: run which npx (where npx on Windows) and use the full path it
prints as the "command". See
Troubleshooting.
How is the catalogue versioned?
By git: every save is a commit, so history, blame and revert work as they do for code, and changes to protected branches ship as reviewable change requests.
What governance do we get?
Per-file access control, review-gated change requests, and a git audit trail of who changed what and who approved it.
License: Apache-2.0
Source: README.md at commit 616122e
Tools
0Version history
1- v0.1.0LatestSep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts