tribal

<p align="center"> <a href="https://tribal.build"> <img src=".github/banner.png" alt="Tribal: semantic memory served over MCP" width="100%"> </a> </p>

Tribal

Semantic compression for project knowledge.

    

Tribal captures the engineering knowledge that does not get written down in code or tickets. The reasoning behind a load-bearing decision, the heuristic someone keeps reaching for, the breakthrough that closed a gnarly bug. It runs as a Model Context Protocol server, ingests text on demand, and exposes a graph of items connected by what they support, contradict, or refine. Your agent harness talks to it the same way it talks to any other MCP tool.

Tribal is not trying to remember everything. It preserves what remains useful after the work is done.

Quick start

Start with the skills. Tribal runs inside your agent, and the skills teach it to install, verify, wire, and troubleshoot Tribal. Installing them and letting the agent drive is the most reliable path:

npx skills add tribal-memory/skills

Then ask your agent to set Tribal up. The steps below are what the skills walk it through, or what to run by hand. The agent can help either way.

If you plan to use a cloud provider (OpenAI or Anthropic), export its API key in your shell before you launch the agent harness, so the harness and the Tribal binary it spawns inherit it. A key exported into a terminal the harness is already running in is not picked up until you relaunch. Setting it up front removes a lot of the early configuration friction.

Install Tribal using whichever path fits your environment. Pick one:

Homebrew (macOS)

brew install tribal-memory/homebrew-tap/tribal

Shell installer (macOS or Linux)

curl --proto '=https' --tlsv1.2 -LsSf \
  https://github.com/tribal-memory/tribal/releases/latest/download/tribal-installer.sh | sh

Docker Compose (bundled Postgres)

tag=$(curl -fsSL https://api.github.com/repos/tribal-memory/tribal/releases/latest | jq -r .tag_name)
mkdir tribal-docker && cd tribal-docker
curl -fsSL "https://raw.githubusercontent.com/tribal-memory/tribal/$tag/docker-compose.yml" -o docker-compose.yml
docker compose up

The compose file pins the image to a specific release, so fetch it from a release tag rather than reusing an old checkout. The stack bundles its own Postgres and bootstraps itself on first start. To point a stage at a cloud provider instead of a local Ollama, configure .env before the first docker compose up; the installing-tribal skill walks through it.

For the Homebrew and shell-installer paths, bootstrap from inside a git repository. This runs setup, registers the repository as a project, mints a bearer token, and prints the MCP config snippet your harness will need:

tribal bootstrap

Prerequisites

• Postgres 14 or higher with the pgvector extension.
• A provider for embeddings and inference. Either a local Ollama installation with the required models, or API keys for a supported cloud provider set in your environment.

tribal bootstrap never calls a provider, but it does validate configuration, so a configured cloud provider's API key must already be in your environment when you run it. Provider reachability for ingest is verified separately by tribal check --providers.

Setting up

tribal bootstrap is the canonical first run. From inside the git repository you want Tribal to know about, it runs setup, registers the current repository as a project, mints a bearer token, persists credentials, and emits the MCP config snippet your harness will need. Run it once per repository:

tribal bootstrap

Flags worth knowing:

• --transport stdio|http|sse chooses the connection shape. Stdio is the simpler default and what direct binary installs (Homebrew, shell installer) use out of the box. HTTP is required for the Docker Compose path, since the server runs in a container the host connects to over the network. Direct installs can opt into HTTP too if you prefer a persistent server.
• --json emits a structured JSON record of everything that happened. Useful for scripting and for piping into the diagnostic flow described below.

The underlying commands are tribal setup (one-time database and credentials setup) and tribal project register (per-project registration). You rarely need them directly. Bootstrap composes them and adds the MCP config layer on top.

Verifying readiness

tribal check runs the core diagnostic suite: configuration, database reachability, migration state, project resolution, token validity, advertised URL reachability, and binary uniqueness on PATH. It exits non-zero if any check fails.

tribal check

Add --providers to extend the suite with fatal probes of the embedding and inference providers. Run this before your first ingest to confirm the system can do real work:

tribal check --providers

For scripted consumers, --json emits a structured record. Every failed check includes a remediation field with the exact next step:

tribal check --json

Connecting to your agent harness

The canonical MCP config for any compatible harness comes from tribal mcp-config, which writes the JSON snippet to stdout. On a local HTTP or SSE deployment the snippet is URL-only: an OAuth-capable harness registers and authenticates itself on first connect, so there is nothing to copy. Pass --static-token to embed the persisted bearer token instead, for a harness that authenticates with an Authorization header only. The stdio snippet carries no token; it authenticates as a local principal at runtime.

For per-harness translations, ask your agent to invoke the installing-tribal skill. It walks through wiring Tribal into your harness and produces the exact command to run.

Using Tribal

Day-to-day use happens through your harness. Once the MCP server is wired up, the harness can ingest knowledge, query it, traverse the graph, and rate retrieval quality.

The using-tribal skill teaches your harness when and how to call each tool, and how to phrase ingests so they survive in the graph long after the work is done. It activates whenever the harness sees a signal that prior context might be relevant, or that something worth preserving has just happened.

Recovery

Most operational issues fall into a small set of patterns:

• Port already in use. Tribal exits with the conflicting address in the error message. Free the port, or switch to --transport stdio to bypass network binding.
• Bad credentials state. Delete credentials.json (under $XDG_CONFIG_HOME/tribal/) and re-run tribal bootstrap. Bootstrap is symmetric and will write a fresh credential safely.
• Corrupted Docker volume. Stop the stack with docker compose down -v, then docker compose up. The volume is recreated on the next start.
• Stale project context. If TRIBAL_PROJECT_ID is set in your environment to a project that no longer exists, unset it or re-run tribal bootstrap against the current directory's git remote.
• Missing provider env vars. tribal check --providers names which provider stage is failing and walks the resolution chain. Set the missing variable and re-run.

Logs are written to standard error. Every command that has a useful structured form supports --json; the structured output is more amenable to parsing than the human stderr stream.

To re-bootstrap cleanly without losing your knowledge graph, run tribal bootstrap again. It will reuse the existing project if the git remote matches, mint a new bearer token, and re-emit the MCP config snippet.

Troubleshooting

tribal check is the first stop for any operational issue. It surfaces failures with a remediation field describing the next action in plain prose. Pass --json when you need to consume the structured form.

When tribal check reports ok: true and a problem is still visible, the issue is usually network-level rather than Tribal itself. The most common pattern is a VPN or firewall sitting between the binary and the database; MCP errors look like Tribal is down even though the database is what's broken. Confirm connectivity to the configured database before assuming Tribal is at fault.

For runtime failure modes that fall outside the check suite (worker death, transport-layer errors, prompt loading failures), the using-tribal skill bundles a reference covering each pattern. Install it via the Quick start one-liner if you haven't already.

Removing Tribal

Manual steps, in any order:

• Remove the binary. brew uninstall tribal for Homebrew installs, the installer's removal script for the shell-installer path, or docker compose down -v for the containerised path.
• Delete the credentials file at $XDG_CONFIG_HOME/tribal/credentials.json.
• Drop the Postgres database Tribal was using.
• Remove the skills with npx skills remove installing-tribal using-tribal.