wakīl

A terminal-native coding agent. A Go binary that sends HTTP requests directly to any OpenAI-compatible Chat Completions endpoint (llama.cpp server, OpenRouter, vLLM…), or to a remote ilm proxy that adds memory and grounding. Endpoints are named in config and switchable mid-session. wakil provides the TUI, tool execution, and session persistence.

you ── wakil (TUI · tool exec · sessions) ──┬── OpenAI-compatible endpoint ── model
                        ↑                   └── ilm proxy (memory · grounding) ── model
                per-command confirm gate

Every write/execute call is gated behind explicit y/n confirmation before it touches your filesystem, shell, or Docker daemon. Tool-result messages are populated from real local execution. Code navigation is backed by a language server (lsp_definition / lsp_references / lsp_hover / lsp_symbols via gopls).

Requirements


Go 1.26+	to build from source (see `go.mod`)
Docker	for the default `docker` exec mode (skip with `--exec direct`)
An OpenAI-compatible endpoint	a llama.cpp server, OpenRouter, or an ilm proxy — wakil is a client, so an external inference endpoint is required

Status

Early-stage. Config keys, session format, and the tool set may change between commits. The confirmation gate is on by default because the agent runs shell and Docker commands on the host. Keep it enabled for anything you have not fully audited.

Quickstart

Option A: Sandbox + OpenAI-compatible endpoint

The default Docker sandbox mode with any OpenAI-compatible server (llama.cpp, Ollama, OpenRouter, vLLM…). No proxy required.

# 1. Build — single static binary, no runtime deps
go build -o wakil ./cmd/wakil

# 2. Build the sandbox image (Go, Node, Rust, Python toolchains + gopls, baked in)
docker build -t wakil-dev .

# 3. Run — wakil auto-creates ~/.config/wakil/config.json on first run
#    with a minimal template. Edit it to add your endpoint, then re-run.
./wakil ~/projects/myapp

The auto-created config contains _comment keys explaining what to set — add an endpoints block or set ILM_BASE_URL. For a quick start against a local server, skip the config file entirely and use an env var:

ILM_BASE_URL=http://localhost:8080 ILM_MODEL=qwen3.6-35b ./wakil ~/projects/myapp

For OpenRouter, use https://openrouter.ai/api as base_url and set auth_header to "Bearer sk-or-...". For Ollama, http://localhost:11434 with model llama3.

If Docker or the wakil-dev image is missing, wakil prints an error with image build instructions instead of the raw Docker error — pass --exec direct to skip Docker entirely (see Option B).

See config.example.json for a fully commented reference covering all options.

Option B: No sandbox (direct mode)

Execution on the host without Docker. Used when the sandbox image is not available.

# 1. Build
go build -o wakil ./cmd/wakil

# 2. Run in direct mode — workspace arg is optional, defaults to cwd
ILM_BASE_URL=http://localhost:8080 ILM_MODEL=qwen3.6-35b ./wakil --exec direct ~/projects/myapp

Without Docker, tool calls execute directly on the host. The confirmation gate is still on — every write/execute call prompts y/n before it runs.

Option C: Sandbox + ilm proxy

The ilm proxy adds server-side memory and grounding on top of the sandbox. Use this when you want the proxy's session persistence and metadata routing.

# 1. Build
go build -o wakil ./cmd/wakil

# 2. Build the sandbox image
docker build -t wakil-dev .

# 3. Set the proxy URL and start — workspace arg is optional
export ILM_BASE_URL='http://proxy-host:11400'   # ilm proxy
./wakil ~/projects/myapp        # explicit path
# no argument → auto-mounts the current directory
cd ~/projects/myapp && ./wakil

For the proxy variant, model defaults to ilm (the proxy's alias routing). Declare named endpoints in the config file to switch between proxy and direct OpenAI-compatible servers (see Endpoints).

Default docker mode: one persistent container for the process lifetime, every tool call executes inside it.

Security and the confirmation gate

Gated — run_shell, write_file, edit_file, delete_file, move_file, run_background, kill_process, open_url. By default each call prompts y/n before it runs; /auto changes this (see below).

Ungated — read_file, read_file_full, list_dir, search_files, find_files, dispatch_subagent, dispatch_subagents, read_process_log, and the lsp_* code-intelligence tools. All structured, argument-constrained calls: they read file contents, listings, and symbol data, but none of them can execute arbitrary commands.

Subagents have three capability tiers: discovery (default, read-only), edit (can edit_file / write_file / delete_file / move_file, gated on /auto consent, serialized by a writer lock — at most one edit child at a time), and tools (adds MCP tools from a configured allowlist, LSP, and web search to the discovery set — also gated on /auto; mutating MCP calls are serialized per-server). dispatch_subagent / dispatch_subagents are ungated because they spawn bounded workers with their own tool restrictions; the edit and tools tiers inherit session-level consent and never prompt interactively.

run_shell is gated even for pure reads — cat ~/.ssh/id_rsa or env is gated the same as any other call. a at a prompt auto-approves read-only tools for the rest of the session; gated tools keep prompting unless you flip full auto-approve with /auto (status bar shows AUTO). Destructive commands and counsel calls gate even in auto mode — no override.

Default docker mode does not bind-mount the host Docker socket — --docker-sock defaults to false. Pass --docker-sock=true to give the agent docker / docker compose access to your real daemon. This grants root-equivalent access to the host through the Docker daemon. Run untrusted tasks with the gate on, against a trusted endpoint and model, and use a disposable VM when host-Docker control is not needed.

In Docker mode the sandbox is hardened: --cap-drop=ALL, --read-only, and --security-opt=no-new-privileges are always applied. A writable /tmp tmpfs and a minimal /etc tmpfs are mounted so the container can function under the read-only rootfs. The docker_caps, docker_memory, docker_pids_limit, and docker_tmpfs_size config fields adjust the resource limits (see the config table below). Note that docker_tmpfs_size counts against the container memory cgroup — setting it equal to or larger than docker_memory can still cause OOM under load.

Memory as an injection channel. memory_put is ungated — any tool result can cause the model to write an entry. Mid-tier entries (TTL 1h–7d) are directly active without review, and the memory digest is injected into the system prompt at session start. A poisoned tool result (malicious repo content, web page) could get the model to write an instruction-shaped entry that rides into future sessions' prompts. Durable entries go through propose→promote review, but mid-tier bypasses that gate. The taint signal marks entries from sessions that touched external content (tainted), but it is informational — nothing currently refuses tainted mid-tier writes. Treat this with the same caution as the Docker socket: run untrusted tasks with the gate on, and audit memory entries (memory_list) if you've been operating on untrusted content.

Configuration

Precedence: defaults < config file < env < flags. Config file is JSON at ~/.config/wakil/config.json, overridable via WAKIL_CONFIG / --config. On first run, wakil auto-creates this file with a minimal template if it doesn't exist — edit it to set your endpoint. Env vars use WAKIL_* (preferred) or ILM_* (legacy aliases, same precedence).

Flag	Env	Default	Meaning
`--base-url`	`ILM_BASE_URL` / `WAKIL_BASE_URL`	— (required unless `endpoints` is set)	endpoint base URL; overrides the selected endpoint's `base_url`
`--api-key`	`ILM_API_KEY` / `WAKIL_API_KEY`	—	sent as `Authorization: Bearer <key>` (endpoint-level `auth_header` wins)
`--model`	`ILM_MODEL` / `WAKIL_MODEL`	`ilm`	model name; overrides the selected endpoint's `model`
`--exec`	`ILM_EXEC_MODE` / `WAKIL_EXEC_MODE`	`docker`	`docker` \| `direct`
`--image`	`ILM_CONTAINER_IMAGE` / `WAKIL_IMAGE`	`wakil-dev`	sandbox image (build from `Dockerfile`)
`--workdir`	`ILM_WORKDIR` / `WAKIL_WORKDIR`	`/mnt/<dirname>`	working dir inside the container
`--host-workdir`	`ILM_HOST_WORKDIR` / `WAKIL_HOST_WORKDIR`	cwd (auto-detected)	host path bind-mounted into the container
`--docker-sock`	`ILM_DOCKER_SOCKET` / `WAKIL_DOCKER_SOCKET`	`false`	pass host Docker socket into the sandbox
`--resume`	—	—	resume the most recent session
`--resume-id`	—	—	resume a session by chat_id (or unique prefix)
`--auto`	—	—	auto-approve all tool calls without prompting
`--searxng-url`	`SEARXNG_URL`	—	enable the SearXNG native search tool
`--google-cx`	`GOOGLE_CX`	—	Google Programmable Search Engine ID (pair with `GOOGLE_API_KEY`)
`--mention-base`	—	current directory	base directory for `@` file mentions
`--host`	`ILM_HOST` / `WAKIL_HOST`	—	ilm proxy host (alternative to `--base-url`)
`--port`	`ILM_PORT` / `WAKIL_PORT`	`11400`	ilm proxy port (used with `--host`)
`--trace`	`WAKIL_TRACE_SESSIONS`	`false`	enable JSONL trace capture for this session
`--trace-dir`	`WAKIL_TRACE_DIR`	`~/.local/share/wakil/traces`	directory for trace files
`--list-sessions`	—	—	list saved sessions for this workspace and exit
`--all`	—	—	with `--resume`/`--list-sessions`: search all workspaces
`--ssh-signing`	—	`off`	SSH commit signing in the sandbox: `off`\|`auto`\|`<path>`
`--config`	`WAKIL_CONFIG`	`~/.config/wakil/config.json`	JSON config file path

lsp_enabled is config-file only, no flag — see LSP code intelligence.

Endpoints

The endpoints block names each server wakil can talk to; default_endpoint selects the active one at startup. Two kinds:

openai — any plain OpenAI-compatible Chat Completions server (llama.cpp server, OpenRouter, vLLM…). model is required and is the literal string sent in requests. No ilm-specific headers or body fields are sent.
ilm-proxy — the ilm proxy with memory/grounding. model defaults to the proxy alias ilm; backend prefix-routing and X-Ilm-* headers apply.

{
  "endpoints": {
    "llama": {
      "kind": "openai",
      "base_url": "http://llama-host:8080",
      "model": "qwen3.6-35b"
    },
    "or": {
      "kind": "openai",
      "base_url": "https://openrouter.ai/api",
      "model": "anthropic/claude-sonnet-4-6",
      "auth_header": "Bearer sk-or-..."
    },
    "ilm": {
      "kind": "ilm-proxy",
      "base_url": "http://proxy-host:11400"
    }
  },
  "default_endpoint": "llama"
}

Per-endpoint options: auth_header (verbatim Authorization value, beats the global api_key) and optional temperature / top_p / max_tokens — omitted from the request body entirely when unset, so server defaults stay authoritative. For openai-kind endpoints, app_referer and app_title set the OpenRouter attribution headers (HTTP-Referer and X-Title); when unset, they default to https://github.com/treeol/wakil and wakil for openrouter.ai hosts, and are omitted for any other host. Set to "" to opt out of a header.

Backward compatibility: configs without an endpoints block keep working unchanged — the top-level base_url (or host+port) synthesizes a single ilm-proxy endpoint with model ilm, byte-identical request shape to before.

At runtime, /backend <name> switches endpoints (on openai-kind endpoints), and /model <name> switches models — both re-resolve context limits. Note the key caveat: auth_header values live in plaintext in config.json; chmod 600 it.

Config-only fields

These have no flag or env var — set them in the JSON config file. The config.example.json in this repo is a fully commented reference covering every section below.

Field	Default	Meaning
`max_parallel_subagents`	`2`	Max concurrent `dispatch_subagent` workers per turn
`subagent_endpoint`	`""` (inherit)	Named endpoint for subagents (`""`/`"inherit"` = follow parent)
`subagent_backend`	`"inherit"`	Backend for subagents (`"inherit"`/`"default"`/`"<name>"`)
`costs`	—	Per-source pricing block (inference, mashura, search, external backends)
`mashura_panels`	—	Named counsel model panels
`mashura_tool_panels`	—	Maps each counsel tool to a named panel
`oracle_enabled`	`false`	Gate for `mashura__*` counsel tools
`oracle_model`	`"claude-sonnet-4-6"`	Model ID for counsel calls
`oracle_api_key_env`	`"ANTHROPIC_API_KEY"`	Env var read at call time for the API key
`lsp_enabled`	`false`	Gate for `lsp_*` code-intelligence tools
`lsp_servers`	—	Maps language → server command
`browser_enabled`	`false`	Gate for `browser_*` headless-browser tools (chromedp + Chromium)
`mcp_servers`	—	MCP tool servers (stdio or HTTP)
`backend`	`""`	Default `X-Ilm-Backend` (ilm-proxy only)
`external_backends`	—	Backend names known to route to external providers
`aux_model`	`""`	Pins `X-Ilm-Aux-Model` (empty = follow main)
`kvr_disabled`	`false`	Disable the staging KV store (auto-disabled in direct mode)
`kvr_max_entries`	`100000`	Max entries in the staging store
`kvr_snapshot_interval_secs`	`300`	Staging snapshot frequency (survives sandbox restarts)
`docker_caps`	`[]`	Linux capabilities to re-add after `--cap-drop=ALL` (e.g. `["CHOWN"]` if go build fails)
`docker_memory`	`"4g"`	Container memory limit; must be ≥ `docker_tmpfs_size` (tmpfs counts against the cgroup)
`docker_pids_limit`	`512`	Max processes in the sandbox container (0 = no limit)
`docker_tmpfs_size`	`"4g"`	Size of the sandbox `/tmp` tmpfs
`agent_prompt_path`	`agent.txt` next to config	System prompt file path
`backend_max_retries`	`3`	Max retries for transient backend failures (unattended)
`compact_at_frac`	`0.75`	Compact at 75% of effective context
`keep_bytes_frac`	`0.60`	Keep 60% of effective context verbatim after compaction
`hard_max_frac`	`0.95`	Hard ceiling at 95% of effective context
`context_capacity_frac`	`0.80`	Use 80% of proxy's usable_ctx as working budget
`effective_ctx_max_chars`	`0` (disabled)	Absolute cap (chars) on effective context for large models. Apply to keep context within a working budget (e.g. `200000`); models with very large advertised context may degrade in practice below their nominal limit. Applied before fractions. Override at runtime with `/maxctx`

Agent prompt

The system prompt is loaded once at startup. Precedence:

agent_prompt_path in config (or agent.txt next to the config file by default) — if the file is readable, it is used.
Embedded prompt — the full prompts/agent.txt is baked into the binary via go:embed. If no file is found or the file is unreadable, the embedded full prompt is used automatically. No symlink or copy is needed for the default experience.

To customize the prompt, copy or symlink the source file into your config directory:

ln -sf "$(pwd)/prompts/agent.txt" ~/.config/wakil/agent.txt

Execution modes

Tool calls run inside one persistent Docker container for the process lifetime by default. The workspace directory — positional arg, or cwd if omitted — bind-mounts into the container at /mnt/<dirname>. --exec direct runs on the host instead, no container.

Sessions

Saved automatically, no flag required. wakil --resume picks up the most recent one; wakil --resume-id <prefix> targets a specific chat_id.

/handoff summarizes the current session, stores the summary in durable memory, and starts a fresh session with a continuation prompt — so you can rotate sessions without losing context. The old session remains on disk; /resume <id> returns to it.

The TUI

Anything typed that isn't a slash command goes to the agent as a task. @ opens a picker to attach a file or folder for context.

Commands

Session

/new, /reset         fresh conversation (new chat_id, clears viewport)
/handoff             summarize session → store in memory → start fresh session with continuation prompt
/compact             summarize older turns now (frees context)
/sessions            list saved sessions (★ = current)
/history             transcript size
/quit, /exit         leave (tears down the container)

Workflow

/plan <task>         start a gather→plan→review→implement workflow for <task>
/plan --oracle=MODE  set per-run review schedule (every-step|on-deviation|phases-only)
/plan status         show current workflow phase and step
/plan approve        approve the plan; force-skip review (logged); advance past pauses
/plan review         retry the counsel plan review (when review is pending/unavailable)
/plan verify         re-run the final review (in verify state after gaps flagged)
/plan abort          cancel the active workflow

Executor and tools

/cwd                 show executor working directory
/mode                show execution backend
/mcp                 list connected MCP servers and their tools
/mcp reconnect NAME  reconnect a named MCP server

Endpoint and model

/backend             ilm-proxy: show backend selection · openai: list configured endpoints
/backend <name>      ilm-proxy: set proxy backend · openai: switch to named endpoint
/model <name>        switch model (re-resolves context limits); tab-completes from the server's model list

Meta

/learn               ask the proxy to synthesise a fact to remember (ilm-proxy endpoints only —
                     refuses client-side on openai endpoints instead of faking success)
/auto                toggle auto-approve (shown as AUTO in status bar)
/rawtools            toggle full tool output in context (default: capped at 8k chars)
/maxctx <chars>      cap effective context for large models (e.g. 200000 = ~200k chars; 0 = disabled)
/maxctx              show current effective context cap and resulting compaction thresholds
/help                full command list

Keybindings

Key	Action
`Enter`	Send input (Shift+Enter for newline)
`↑` / `↓`	Browse command history (previous / next)
`Ctrl+R`	Reverse incremental search through command history
`Ctrl+E`	Expand/collapse live reasoning while the model is thinking
`Ctrl+C`	Cancel in-flight turn (press twice to force-quit)
`Esc`	Cancel in-flight turn
`Ctrl+D`	Quit (when idle)
`y` / `n`	Approve / decline a pending tool call
`a`	Allow all read-only calls for this session
`@`	Attach a file or folder

Copying text over SSH

Mouse-drag to select text in the conversation pane, then release — wakil copies the selection to the clipboard. On a remote host over SSH (no local clipboard daemon), it falls back to the OSC 52 terminal escape sequence, which forwards the text through the terminal to your local clipboard.

If copy-over-SSH doesn't work, the flash message will say sent N chars via OSC 52 — if paste is empty, enable terminal/tmux clipboard. That means OSC 52 was used but your terminal or tmux is blocking it. Enable it:

tmux (local or remote): add to ~/.tmux.conf:

set -g set-clipboard on

Depending on your tmux version, set -g set-clipboard external may be needed instead — check man tmux for your installed version. Nested tmux (local + remote) requires the setting on both.

Terminal emulators — OSC 52 clipboard writes are disabled by default in some terminals. Check your terminal's documentation for how to enable it:

Terminal	OSC 52 support
iTerm2, Alacritty, Kitty, WezTerm	enabled by default
xterm	requires `allowWindowOps` or enabling Set/GetSelection in `disallowedWindowOps` — see `man xterm`
GNOME Terminal / VTE	recent versions enable it; older VTE blocked it entirely
Konsole	check Konsole settings (OSC 52 support was added in a recent release)

Native clipboard commands (wl-copy, xclip, xsel, pbcopy) copy to the environment where wakil is running. In SSH sessions, OSC 52 is what targets your local terminal's clipboard — if a native command is found on the remote but fails (e.g. xclip without DISPLAY), wakil falls back to OSC 52.

Tools

Tool	Gated	Description
`run_shell`	yes	Run a shell command; cwd persists across calls
`read_file`	no	Read a file with line numbers; supports offset/limit
`read_file_full`	no	Read an entire file (up to ~256 KB) in one call
`write_file`	yes	Write/overwrite a file
`edit_file`	yes	Replace an exact substring in a file (shows diff preview)
`list_dir`	no	List directory entries
`search_files`	no	Grep file contents for a pattern
`find_files`	no	Find files by name glob recursively
`open_url`	yes	Open a URL in the host browser (always runs on the host, not the sandbox)
`dispatch_subagent`	no	Spawn a subagent for a bounded task — discovery (read-only), edit (file mutation, needs `/auto`), or tools (MCP/LSP/web search, needs `/auto`) (contiguous same-turn calls run in parallel)
`dispatch_subagents`	no	Spawn several subagents concurrently, one per task (bounded by `max_parallel_subagents`, default 2)
`read_process_log`	no	Read the tail of a background process's log
`staging_put`	no	Store a value in the ephemeral in-sandbox KV store (key auto-prefixed with agent identity)
`staging_get` / `staging_get_many`	no	Retrieve values by key (cross-prefix reads allowed — enables subagent handoffs)
`staging_list`	no	List staging keys, optionally filtered by prefix
`staging_delete`	no	Delete a key under your prefix
`memory_put`	no	Write to durable memory: TTL present → mid-tier active; absent → durable proposed
`memory_get`	no	Retrieve the active entry for a key (with provenance + staleness flags)
`memory_search`	no	FTS5 full-text search over memory entries
`memory_list`	no	List entries by prefix, tier, or status
`memory_promote`	no	Promote a proposed durable entry to active (main agent only)
`memory_reject`	no	Reject a proposed durable entry (main agent only)
`memory_forget`	no	Supersede an active entry with a tombstone (main agent only)
`memory_promote_from_staging`	no	Bridge a staging value into durable memory as proposed (main agent only)
`lsp_definition` / `lsp_references` / `lsp_hover` / `lsp_symbols`	no	Language-server-backed code intelligence (off by default — see below)
`browser_navigate` / `browser_screenshot` / `browser_viewport` / `browser_click` / `browser_eval` / `browser_text` / `browser_html` / `browser_reduced_motion`	no	Headless-browser tools — visual verification, DOM inspection, interaction testing (off by default — see below)

MCP tools (stdio or HTTP) append automatically when mcp_servers is configured. The host Docker socket passthrough (--docker-sock) is what lets docker / docker compose calls reach the host daemon.

Subagent tabs

When dispatch_subagent or dispatch_subagents runs, a tab opens in the bottom tab bar for each child. The sidebar shows the child's endpoint, model, chat ID, and (when finished) cost, files changed, and context size. Tabs are routed by chat_id, so concurrent subagents stream to their own panes without cross-contamination.

Tab dot states:

State	Dot	Meaning
Queued	`●` dim gray	Dispatched, waiting for a parallelism slot
Running	`●` pulsing yellow	Worker acquired a slot, request in flight
Finished	`✓` dim green	Child returned; display-only — authoritative `done` pending
Done	`✓` solid green	Authoritative completion (cost folded, grounding attached)

A child that finishes while siblings are still running shows the dim green ✓ immediately — it doesn't wait for the slowest sibling. The sidebar displays a timestamped "✓ finished" status with cost and a one-line summary preview. When the authoritative SubagentDoneMsg arrives (after the cost fold in Phase C), the tab enriches to solid green with no visual regression.

Click a finished or done tab's × to close it; running tabs show · instead. Tabs are pruned (oldest finished first) past maxSubTabs (12); running and focused tabs are never pruned.

Optional features

Off by default. Flip on via the JSON config file or the matching flags/env vars above.

LSP code intelligence

lsp_enabled: true turns on lsp_definition, lsp_references, lsp_hover, lsp_symbols — lookups that use a configured language server rather than text search.

lsp_definition / lsp_references / lsp_hover detect language from the file extension and route to whichever server is configured for it under lsp_servers — nothing Go-specific in the config shape itself. lsp_symbols is workspace-wide with no file to key off, so it defaults to the go entry. The sandbox Dockerfile currently ships one server — gopls, pinned to v0.22.0 — so Go is the only language covered by the test setup. Wiring in rust-analyzer, pyright, or anything else under lsp_servers should route the same way; that path is not part of the test setup.

{
  "lsp_enabled": true,
  "lsp_servers": {
    "go": {"command": "gopls", "args": ["serve"]}
  }
}

Calls are line-anchored: (path, line, symbol). The line number is exactly what read_file already prints, so there's no extra lookup round-trip. Unsupported operations return an explicit failure message, never a silent empty result.

Headless browser

browser_enabled: true turns on browser_navigate, browser_screenshot, browser_viewport, browser_click, browser_eval, browser_text, browser_html, browser_reduced_motion — a headless Chromium instance (via chromedp) for visual verification, DOM inspection, interaction testing, and responsive layout checks.

The browser runs inside the sandbox container — chromium is installed in the Dockerfile image. It uses --no-sandbox (required inside the container's capability-dropped environment) and --disable-gpu. All navigation targets localhost or file:// URLs; the sandbox's network namespace controls egress.

{
  "browser_enabled": true
}

Common workflows:

Visual verification: browser_navigate → browser_screenshot to capture a rendered page.
Responsive checks: browser_viewport (e.g. 375×812 for mobile) → browser_screenshot → browser_eval to inspect computed styles.
Interaction testing: browser_navigate → browser_click → browser_text to verify state changes.
prefers-reduced-motion: browser_reduced_motion (emulate=true) → browser_eval to verify transitions are actually disabled at runtime, not just branched-on in code.

No confirmation needed — the browser runs inside the sandbox and cannot write to the filesystem or execute arbitrary commands.

`/plan` workflow

Gather → plan → review → implement, with an optional AI counsel checkpoint between phases. Commands under Workflow above.

Counsel — mashūra

mashura__review / __debug / __decide / __check — second opinions from external models, on demand. Enable with oracle_enabled: true. Execution mode is set per named panel in mashura_panels:

Mode	Behaviour
`panel`	Query all models sequentially, return all answers in labeled sections
`fallback`	Try in order, stop on first success
`fusion`	Single OpenRouter Fusion call — models run in parallel internally, a judge synthesizes the result

Model strings are provider-prefixed: anthropic:claude-opus-4-8, openrouter:google/gemini-2.5-pro. Fusion mode uses OpenRouter's ~model syntax (~anthropic/claude-opus-latest).

Keys are read at call time, never stored: ANTHROPIC_API_KEY (or override via oracle_api_key_env) for Anthropic, OPENROUTER_API_KEY for OpenRouter and Fusion. mashura_tool_panels maps individual tools to panels.

wakil reads evidence files from disk on the model's behalf — the model supplies paths, never content. Directory paths expand via git ls-files; path_ranges scopes to specific line spans.

Web search

Two native options, both built directly into wakil — no external binaries, no MCP config.

SearXNG — set searxng_url (or --searxng-url) for searxng_search
- searxng_url_read.
Google — set google_api_key and google_cx (or GOOGLE_API_KEY / GOOGLE_CX) for google_search + google_fetch_url.

Cost sidebar

Per-source token and cost accounting. Rates live under costs; unpriced sources are shown as — rather than $0.00.

Memory and staging

Wakil has a two-tier memory architecture. Both are built-in — no external services required.

Tier	Store	Lifetime	Location	Gating
T1 staging	kvr (Rust KV)	Ephemeral (snapshot survives restarts)	In-sandbox	Ungated — any agent
T2 mid	SQLite (pure Go)	1h–7d TTL, auto-expires	Host-side	Direct active writes
T2 durable	SQLite (pure Go)	Permanent	Host-side	PROPOSED on write; main agent promotes

Staging (T1) is a fast in-sandbox KV store for scratch space and subagent handoffs. Keys are auto-prefixed with the writer's agent identity (main/ or sub-<id>/); cross-prefix reads are allowed so a parent can read a child's findings. Staging survives sandbox restarts via periodic snapshots. Ungated — staging writes touch no workspace state.

Durable memory (T2) is a host-side SQLite store that persists across sessions within a workspace. Each workspace has its own isolated memory DB at <wakil-data>/memory/<workspace-key>/memory.db — entries stored in one workspace are not visible in another because anchors are workspace-relative. Mid-tier entries auto-expire (1h–7d TTL); durable entries are permanent and go through a propose→promote review flow. Subagents can propose durable entries but only the main agent can promote them. Every entry carries provenance (writer, taint signal, anchor staleness). A memory digest is injected into the system prompt at session start.

The bridge: memory_promote_from_staging reads an untrusted staging value and writes it to durable memory as a PROPOSED entry — the main agent reviews and promotes it. The staging key's prefix is preserved as provenance.

Full design docs: docs/staging.md · docs/memory.md.

Backend-truth context sizing

At startup (and on every /backend / /model switch) wakil resolves the real per-slot context window (n_ctx) and sizes the context meter, pressure warnings, and compaction against it — with a loud fallback warning when nothing answers. Resolution depends on endpoint kind:

ilm-proxy — /v1/ilm/limits (includes the proxy's pre-computed usable_ctx), then /props.
openai — /props for llama.cpp servers; for openrouter.ai the configured model is resolved against OpenRouter's public model registry.

How state works

On openai endpoints state is simple: the standard agent loop runs against a stateless server — assistant tool_calls → execute → role:"tool" result → resend → final answer. wakil keeps a bounded client-side transcript, compacting older turns into a running summary (last N turns verbatim + summary). There is no server-side memory; /learn refuses client-side because an openai endpoint cannot persist the fact.

Client-side durable memory (T2) works on all endpoints — the SQLite store is host-side and endpoint-independent. memory_put, memory_search, and the propose→promote flow operate regardless of whether the backend is an ilm proxy or a plain OpenAI server. See Memory and staging above.

On ilm-proxy endpoints the proxy additionally routes by message content; statefulness differs by path.

Task path (normal requests with tools) — standard OpenAI passthrough to a llama.cpp Qwen backend. Same clean agent loop and bounded transcript as above.

Memory / meta path (### learn this, remember, what have you learned, forget …) — short-circuits server-side, returns plain assistant text (acks / lists) regardless of tools. Resent history is ignored for recall; memory lives server-side, keyed by metadata.chat_id.

Memory recall is eventually consistent — a fact may not be recallable immediately after ### learn this. Proxy characteristic, not a wakil bug.

Testing

go test ./...

New sandbox containers default to a 4 GB /tmp tmpfs. If you're running in an older container or one with a smaller docker_tmpfs_size, Go builds/tests may fail with no space left on device. Point the toolchain at the workspace disk first:

mkdir -p .tmp-gocache
export TMPDIR=$PWD/.tmp-gocache GOTMPDIR=$PWD/.tmp-gocache GOCACHE=$PWD/.tmp-gocache

See CONTRIBUTING.md for details.

Coverage in cmd/wakil/*_test.go and internal/: streamed tool_call assembly from incremental arg fragments, the plain-text (no-tool_calls) branch, the full agent loop, the confirm gate (accept/decline), executor read/write + cwd tracking, transcript compaction, config resolution, and the LSP protocol/serialization layer. Endpoint decoupling is golden-tested: request shape per kind (no metadata / X-Ilm-* on openai; byte-identical proxy shape preserved), endpoint config validation and legacy synthesis, kind-aware limits resolution (props / OpenRouter registry / proxy route, with request-log assertions that the wrong routes are never called), /learn gating (zero requests on openai), /model and /backend switch semantics with subagent inheritance, and retry classification (429/408/529 retryable, other 4xx fatal).

Project layout

cmd/wakil/         main package — entry point, CLI, TUI wiring, client tests
internal/
  agent/           the agent loop and tool-call assembly
  config/          flag/env/file config resolution
  counsel/         mashūra — external-model counsel (review/debug/decide/check)
  exec/            executor backends (docker, direct) + cwd tracking
  lsp/             language-server client — manager, JSON-RPC transport, tools
  memory/          durable memory store — SQLite, two tiers, FTS5, provenance
  orregistry/      OpenRouter model registry fetch + cache (context lengths)
  proxy/           chat endpoint HTTP client (openai + ilm-proxy kinds)
  staging/         kvr client — in-sandbox ephemeral KV store (UDS wire protocol)
  tools/           the tool set (run_shell, read_file, edit_file, …)
  trace/           execution tracing
  tui/             terminal UI
  workflow/        /plan gather→plan→review→implement state machine
Dockerfile         sandbox image — Go, Node, Rust, Python toolchains, gopls, docker CLI + compose, gh, golangci-lint

Contributing

See CONTRIBUTING.md for build/test instructions and PR checklist. For security concerns, see SECURITY.md.

go build -o wakil ./cmd/wakil
go test ./...

Both must pass before you send a patch. Keep every write/execute path gated — do not add an ungated write or execute path.

Remote provisioning

Bringing up wakil on a fresh remote host (config, Mashūra API key env, Docker image, SELinux, MCP paths) — see docs/remote-provisioning.md.

License

Apache License 2.0 — see LICENSE.

Name		Name	Last commit message	Last commit date
Latest commit History 312 Commits
.github		.github
cmd/wakil		cmd/wakil
docker		docker
docs		docs
internal		internal
prompts		prompts
scripts		scripts
.dockerignore		.dockerignore
.gitignore		.gitignore
.golangci.yml		.golangci.yml
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md
cleanup-hardening-audit.md		cleanup-hardening-audit.md
config.example.json		config.example.json
go.mod		go.mod
go.sum		go.sum

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wakīl

Contents

Requirements

Status

Quickstart

Option A: Sandbox + OpenAI-compatible endpoint

Option B: No sandbox (direct mode)

Option C: Sandbox + ilm proxy

Security and the confirmation gate

Configuration

Endpoints

Config-only fields

Agent prompt

Execution modes

Sessions

The TUI

Commands

Keybindings

Copying text over SSH

Tools

Subagent tabs

Optional features

LSP code intelligence

Headless browser

/plan workflow

Counsel — mashūra

Web search

Cost sidebar

Memory and staging

Backend-truth context sizing

How state works

Testing

Project layout

Contributing

Remote provisioning

License

About

Topics

Resources

Contributing

Security policy

Stars

Watchers

Forks

Contributors

Languages

`/plan` workflow