code-context-control 2.30.0

Local code-intelligence layer for AI coding tools (Claude Code, Codex, Gemini, Copilot). Retrieve less, read less, edit safer.

Code Context Control

The local code-intelligence layer for AI coding tools.
Stop burning tokens on whole-file reads, blind greps, and unbounded log dumps.
Works with Claude Code, Codex, Gemini CLI, Copilot, Cursor, and Antigravity.

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The problem

LLM-driven coding tools have one expensive failure mode: they read too much. They cat whole files, regex the entire repo, dump 10k-line logs into context, edit-and-pray, and burn through budget before they touch a single line of code. On a half-day session you can spend $20+ on token waste that adds zero value.

What C3 does about it

A thin local layer that sits between your IDE and your repo. Every AI tool call gets routed through narrow, surgical operations instead of broad, wasteful ones:

Without C3	With C3
Read the whole 2,000-line file	c3_compress returns a 70%-smaller structural map → c3_read(symbols=...) for the exact function
Grep the whole repo blindly	c3_search returns ranked candidates with TF-IDF + symbol awareness
Dump full pytest output into the prompt	c3_filter distills 500 lines → 30 actionable ones
Edit, hope it compiled	c3_edit writes via a ledger + c3_validate runs pyright/tsc automatically
Bash test runs that hang on Windows	c3_shell returns structured {exit_code, stdout, stderr, duration} with auto-filter
Lose all context on /clear	c3_session(snapshot) + c3_memory persist decisions across sessions
Re-explain the project every session	Auto-synced CLAUDE.md / AGENTS.md / GEMINI.md / copilot-instructions.md from a single source of truth

Everything runs locally. No source code, prompts, or model output ever leaves your machine unless you explicitly opt into a third-party model API.

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Install

Requires Python 3.10+.

pip install code-context-control
c3 init /path/to/your/project

The interactive setup walks you through:

1. IDE selection (Claude Code CLI/App, Codex CLI, Gemini CLI, VS Code, Cursor, Antigravity, or Custom)
2. Optional local git init
3. MCP server registration (auto-wired into your IDE)
4. (Claude Code only) Permission tier selection

Headless / scripted install:

c3 init /path/to/project --force --ide claude --mcp-mode direct --permissions standard

Or install from source:

git clone https://github.com/drknowhow/code-context-control.git
cd code-context-control
pip install .[tui]      # add the optional Textual TUI

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A tour of the UI

C3 ships with two web UIs (no electron, no install — pure Flask + vanilla JS):

• The Hub (c3-hub, port 3330) — manage all your C3 projects from one dashboard.
• The per-project UI (c3 ui, per-project port) — deep dive into one project's session, memory, edits, instructions, and settings.

1. Project Hub — multi-project mission control

Every C3-initialized project on your machine appears here automatically — c3 init registers the project with the hub on first run, no extra step. Group them by tag, filter by active/idle, see which IDE each project uses, jump straight into your IDE with one click, and monitor session activity at a glance. Each project card shows live status, version, MCP wiring mode, port, and last activity.

Per-card actions cover the full lifecycle: launch the IDE, open the per-project UI, edit name / tags / notes, transfer the registration to a new path, merge another project's memory + conversation history + edit ledger into this one (with optional source cleanup), or remove it from the registry.

Open in your IDE of choice — C3 auto-detects which CLIs you have installed and gives you one-click launchers:

Hub runs as a background Windows service if you want it to (no terminal, auto-starts on login):

2. Per-project dashboard — at-a-glance health

c3 ui                             # opens http://127.0.0.1:3333

Real metrics from a real project: 448K tokens saved (89.9% rate), 208 files indexed, 20 sessions, codebase breakdown by language, current-session live counters (in/out tokens, cache reads, services online), and a stream of recent tool calls and file changes.

3. Edit Ledger — every AI-driven edit tracked

A complete audit trail of every file change made via c3_edit (or via Bash git commands intercepted by the C3 shell). Each entry shows timestamp, file, version number, change summary, and +/- line counts. Filter by file path, switch to Stats view for aggregate trends. Backed by a content-addressable store so any prior version is one click away.

4. Memory — durable knowledge across sessions

A categorized store of facts the AI has learned about your project (architecture decisions, conventions, gotchas, references). Categories, full-text + semantic search, decision tracking, list ↔ graph toggle, and one-click Markdown export. Backed by TF-IDF + optional Ollama embeddings + chromadb (when the [vector] extra is installed).

5. Sessions — history, decisions, costs

Every session you've ever run, with duration, decision count, file count, tool calls, token usage, and cost. Captured automatically via the IDE's Stop hook — nothing to remember to click. Click any row to see the full task list, decisions, and file diffs from that session.

6. Instructions — sync your project context across IDEs

Manage CLAUDE.md, AGENTS.md (Codex), GEMINI.md, and .github/copilot-instructions.md from one editor. Generate from project state, run a Health Check (drift detection vs the actual codebase), Compact stale sections, or Promote insights captured during sessions. One source of truth instead of four out-of-sync files.

7. Chat — browse prior AI conversations

C3 syncs and indexes your IDE's chat transcripts (currently Claude Code; others coming). Filter by source, search, click a row to view the full conversation. Useful for "wait, what did we decide about X last week?".

8. Settings — feature flags + integrations

Per-project knobs for everything: budget thresholds, feature flag mode, edit ledger, background agents, delegate routing, Codex/Gemini integrations, agent workflows, proxy mode, MCP servers, Claude Code permission tier, and more.

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The MCP tool suite

C3 exposes 15 tools as a native MCP server. Your IDE calls them directly:

Tool	What it does
c3_search	TF-IDF / regex / semantic search ranked across the indexed repo
c3_compress	AST-based file map (modes: map, dense_map, smart, diff, bug_scan, ast)
c3_read	Surgical reads — by symbol name, regex, or line ranges
c3_edit	Atomic patch with automatic ledger logging + content-addressable history
c3_validate	Type / syntax check (pyright, tsc, ruff, etc. — auto-detected)
c3_filter	Distill long terminal/log output via pattern + LLM summarization
c3_shell	Run shell commands with structured returns + auto-filtered stdout
c3_status	Project health, token budget, notifications, ghost-file detection
c3_memory	Persistent fact store with categories, recall, and graph queries
c3_session	Snapshot, restore, log decisions, compact session history
c3_impact	Blast-radius analysis before edits to shared symbols
c3_delegate	Offload heavy work to local Ollama / Codex / Gemini / etc.
c3_agent	Multi-step agentic workflows (review, investigate, refactor)
c3_edits	Edit-ledger queries + version diffs + restore points
c3_bitbucket	Bitbucket Data Center integration — PRs, branches, builds, repo admin (v2.30.0)

Every tool is read-only safe in plan mode (except c3_edit, c3_shell, and write actions on c3_bitbucket).

Bitbucket Data Center / Server (v2.30.0)

c3_bitbucket connects to self-hosted enterprise Bitbucket via REST + Personal Access Token. Tokens live in the OS keyring (Windows Credential Manager, macOS Keychain, Linux Secret Service) — never in .c3/config.json.

# One-time login per server
c3 bitbucket login --url https://bitbucket.example.com
#  → prompts for username + PAT (masked)

# Pin defaults so subsequent calls don't need project/repo
c3 bitbucket set-default --project PROJ --repo my-service

# Inspect status
c3 bitbucket status

The MCP tool dispatches by action. Read-only actions: status, whoami, list_projects, list_repos, get_repo, list_prs, get_pr, get_pr_diff, get_pr_activities, list_branches, list_commits, list_activity, build_status, repo_settings, list_webhooks, list_permissions. Write actions: create_pr, comment_pr, approve_pr, unapprove_pr, decline_pr, merge_pr, create_branch, delete_branch, update_repo_settings, create_webhook, delete_webhook. PR merges and branch deletes are recorded to the C3 edit ledger so the audit trail covers platform-side changes too.

The Hub UI (per-project) gains a "Bitbucket" tab with sub-views for Overview / Pull Requests / Branches / Activity / Admin.

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Tiered local AI (optional)

C3 ships with optional Ollama integration so the primary model doesn't have to waste context on grunt work:

Tier	Model class	Used for	Latency target
Nano	qwen2:0.5b	Intent routing, classification	<100 ms
Micro	deepseek-r1:1.5b	Last-turn Q&A, summarization	<1 s
Base	llama3.2:3b+	Code analysis, technical reasoning	<5 s

c3_delegate(task="summarize this 4k-line stacktrace", backend="ollama")
c3_delegate(task="rate-limit refactor", backend="auto")    # picks the right tier

Ollama is fully optional. C3 works without it.

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Permissions (Claude Code)

C3 manages .claude/settings.local.json for you, with three sensible tiers:

Tier	What it allows
read-only	Exploration only — no file writes, no git writes, no installs
standard	Normal dev workflow — edit, build, test, local git (recommended)
permissive	Full trust — everything except destructive ops

All tiers always allow C3 MCP tools and include a hard deny list (rm -rf, sudo, git push --force, etc.).

c3 permissions show
c3 permissions standard

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Benchmarks

c3 benchmark /path/to/project
c3 bench aider                    # Aider Polyglot suite
c3 bench swe                      # SWE-bench Lite

Real-world A/B tests: same task, with and without C3 mounted. Reports include token deltas, cost deltas, win rates, tool-usage analysis, and per-task breakdowns. See the Benchmark Dashboard under Settings → Background Agents in the Hub.

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Security & privacy

• Hub binds to 127.0.0.1 by default. Setting host to a non-loopback interface in ~/.c3/hub_config.json is opt-in and warned at startup. Do not expose the Hub to a public network without auth/TLS in front of it.
• No telemetry by default. The OSS package collects nothing. Opt-in Sentry crash reporting requires the [telemetry] extra plus both SENTRY_DSN and C3_TELEMETRY_OPT_IN=1. Even when enabled, request bodies, local variables, and prompts are stripped before sending.
• API keys for third-party model providers are read from environment variables and never persisted by C3.
• See SECURITY.md for the full hardening guide and disclosure policy.

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License

• Current OSS license — Apache License 2.0 (LICENSE). Free for any use, including commercial. Modify, fork, redistribute — all permitted under Apache-2.0 terms.
• Third-party deps — see THIRD_PARTY_LICENSES.md.

The author may introduce a paid offering or relicense future major versions; no commitment either way. Releases already published under Apache-2.0 (including all 2.x versions) keep their Apache-2.0 grant — that grant is irrevocable. Background and FAQ in LICENSING.md. No warranty or support obligation; see LICENSE Sections 7–8.

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Links

• PyPI: https://pypi.org/project/code-context-control/
• Changelog: CHANGELOG.md
• Security policy: SECURITY.md
• Licensing FAQ: LICENSING.md
• Issues: https://github.com/drknowhow/code-context-control/issues