fish-bridge — Session Knowledge Graph

fish_bridge

Session-scoped knowledge graph engine for AI chat context compression.

Converts raw AI chat (40k+ tokens) into a compact typed knowledge graph (~300–800 tokens) and writes it to .github/copilot-instructions.md or CLAUDE.md — automatically included in every AI turn across all modes (ask, edit, agent). No MCP server required for the core workflow.

Raw session (40k tokens) → [fish_bridge] → Compressed graph (350 tokens)

written to copilot-instructions.md picked up by every AI turn automatically

Install

Don't have uv? Get it first: curl -LsSf https://astral.sh/uv/install.sh | sh (macOS/Linux) or see uv docs. It replaces pip + pipx + pyenv in one tool — no virtualenv management needed.

Recommended — `uv tool install` (installs both the fish-bridge CLI and fish-bridge-mcp MCP server on your PATH):

# Local Ollama backend — free, offline (requires Ollama running)

uv tool install fish-bridge-mcp

Gemini backend (~$0.0002/turn, ~95% quality — recommended cloud option)

uv tool install "fish-bridge-mcp[gemini]" export GEMINI_API_KEY=...

Claude backend (~$0.002/turn, ~97% quality)

uv tool install "fish-bridge-mcp[claude]" export ANTHROPIC_API_KEY=sk-ant-...

OpenAI backend (~$0.0003/turn, ~93% quality)

uv tool install "fish-bridge-mcp[openai]" export OPENAI_API_KEY=sk-...

Everything

uv tool install "fish-bridge-mcp[all]"

After install, two commands are available on your PATH:

• `fish-bridge` — the main CLI (ingest, compile, show, serve, ...)
• `fish-bridge-mcp` — the MCP server for VS Code agent mode

MCP config only (no permanent install needed): use uvx directly in your .vscode/mcp.json — it downloads and runs the MCP server on demand:

{ "command": "uvx", "args": ["fish-bridge-mcp"] }

See the MCP server section below for the full config.

Traditional pip install (for embedding fish-bridge as a library in your own Python project)

pip install fish-bridge-mcp

pip install "fish-bridge-mcp[gemini]" # with Gemini backend pip install "fish-bridge-mcp[claude]" # with Claude backend pip install "fish-bridge-mcp[all]" # everything

</details>

2-minute quickstart

# 1. Initialize for your project

fish-bridge init --tool copilot --project ./

2. Ingest the latest Copilot session (auto-discovers JSONL on macOS/Linux/Windows)

fish-bridge ingest --source copilot

3. View the graph

fish-bridge show

4. Compile to your instructions file (done automatically after ingest)

fish-bridge compile

That's it. .github/copilot-instructions.md now contains a ~350-token compressed summary of your session, replacing raw history in every future turn.

Backends

Configure with:

fish-bridge config --backend gemini

or set GEMINI_API_KEY / ANTHROPIC_API_KEY / OPENAI_API_KEY as env vars

Full CLI reference

# --- Session init ---

fish-bridge init # create session for current project fish-bridge init --tool claude # → writes to CLAUDE.md instead

--- Ingest chat turns ---

fish-bridge ingest --source copilot # auto-discover latest VS Code Copilot session fish-bridge ingest --source copilot --session # target specific session fish-bridge ingest --source paste # paste any chat text — opens $EDITOR (universal fallback) fish-bridge ingest --source file --file export.json # from a saved export file fish-bridge watch --source copilot # tail JSONL, auto-update on new turns

--- Merge external knowledge ---

fish-bridge merge --source document --file HANDOVER.md fish-bridge merge --source codebase --path ./ # git log + README fish-bridge merge --source obsidian --vault ~/notes fish-bridge merge --source deps --path ./ # package.json / pyproject.toml etc. fish-bridge merge --source testout --file results.json # jest / pytest / JUnit fish-bridge merge --source iac --path ./ # Terraform / CDK / CloudFormation fish-bridge merge --source openapi --file openapi.yaml fish-bridge merge --source session --file prior.chatgraph.json

--- Compile & view ---

fish-bridge compile # update instruction file (runs after ingest by default) fish-bridge compile --mode digest # full handover markdown fish-bridge compile --mode focus --query "Redis caching" fish-bridge show # pretty-print active nodes fish-bridge show --all # include resolved/deferred items fish-bridge serve # open Cytoscape.js graph viewer at localhost:8080 fish-bridge digest # generate handover digest

--- Node management ---

fish-bridge resolve "DNC caching strategy" fish-bridge defer "v16 index validation" fish-bridge add "Use Redis for session cache" --type decision fish-bridge conflict show fish-bridge conflict resolve --keep old

--- Export / import / diff ---

fish-bridge export # save .chatgraph.json fish-bridge import prior-session.chatgraph.json fish-bridge diff session-a.chatgraph.json session-b.chatgraph.json

--- Config ---

fish-bridge config --show fish-bridge config --backend gemini

MCP server (optional — agent mode only)

The MCP server adds real-time record_turn capture when using VS Code agent mode. It is not required — the file-based workflow above works in all modes without it.

Add to .vscode/mcp.json (uses uvx — no prior install needed):

{

"servers": { "fish-bridge": { "command": "uvx", "args": ["fish-bridge-mcp"], "env": { "FISH_BRIDGE_BACKEND": "gemini", "GEMINI_API_KEY": "${env:GEMINI_API_KEY}" } } } }

If you used uv tool install fish-bridge-mcp, you can also reference the installed binary directly:

{ "command": "fish-bridge-mcp" }

See examples/ for Claude Desktop, Cursor, and Windsurf configs.

MCP tools: record_turn, get_context, get_focus, mark_resolved, add_node, export_session, import_session, show_active, list_deferred

Ingest sources

How it works

1. Ingest — reads raw chat turns from JSONL (Copilot), paste, or any file format
2. Extract — LLM extracts typed nodes (questions, decisions, errors, tasks, skills, files) and edges
3. Dedup — semantic similarity merges near-duplicates; conflict detection flags status reversals
4. Compile — graph is compressed to ~300–800 token XML/markdown block
5. Write — block is written to .github/copilot-instructions.md (or CLAUDE.md)
6. Deliver — AI tool reads the file automatically on the next turn — no injection, no agent required

Documentation

• Quickstart
• Configuration
• Graph schema
• Compiler modes
• Ingestors

License

MIT — see LICENSE