Files
executus/README.md
T
steve dfbc5a42b9 P2: run.Executor — executus is runnable
The capstone of the run kernel: run.Executor.Run(ctx, RunnableAgent, inv)
ties model resolution + the tool registry + majordomo's agent loop +
context compaction + run-bounding + step/audit instrumentation into one
path, with every host concern behind the nil-safe run.Ports.

- run/executor.go: New(Config{Registry, Models, Defaults, Ports, Compactor,
  ContextTokens, SystemHeader}) + Run -> Result{RunID, Output, Steps, Usage,
  Err}. Budget gate (pre-run), model resolve, Audit StartRun/recorder
  (satisfies RunTally, stamped on inv.RunState), toolbox build, step observer
  (zips tool calls/results -> emitter + recorder.OnStep/OnTool), V10
  detached-MaxRuntime context with caller-cancel merged back, compaction wired
  from ContextTokens×ratio, audit Close + Budget Commit on a detached cleanup
  ctx. Zero Ports = a bounded in-memory run (gadfly's case).
- run/executor_test.go: hermetic end-to-end run against majordomo's fake
  provider (hello-world), Budget-rejection (no model call), Audit-port wiring
  (StartRun + Close with terminal status/output). All green under -race.
- examples/minimal upgraded to the real "hello, agentic world" (~15 lines:
  Configure tiers -> run.New -> Run -> print). README/CLAUDE.md updated.

Remaining P2 follow-ups (incremental): wire Critic/Checkpointer/PaletteSource/
Delivery into the loop, multi-phase Pipelines, and the no-tools direct path.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-27 02:02:21 +00:00

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executus

⚠️ This project is vibe-coded. executus is written almost entirely by an AI coding agent (Claude), with a human steering at the design and review level rather than typing the code. That's a deliberate choice, stated up front — the same way gadfly is. Read the code before you depend on it, pin a version, and file issues if something looks off. It is offered as-is.

A batteries-included base for building LLM agent harnesses in Go. Import it, do a little wiring, and you have agentic capabilities: a bounded run loop, a tool registry with a suite of common tools, context compaction, config-driven model tiering and failover, structured output, and parallel fan-out — with sensible defaults so a brand-new project is agentic with almost no setup, and pluggable seams so a serious host can swap in its own storage, config, delivery, and tools.

executus sits strictly above majordomo — the lean LLM substrate (agent loop, canonical llm types, providers, media normalization, model parsing / failover / tiering). majordomo stays the substrate; executus is the opinionated, batteries-included layer on top. executus requires no changes to majordomo.

Status

Early. Being extracted, phase by phase, from the agent layer of mort (a Discord bot) — mort and gadfly are the first two consumers (heavy and light). See CLAUDE.md for the architecture and the extraction roadmap (P0P6).

Available today:

  • run/executus is runnable. run.Executor ties model resolution, the tool registry, majordomo's agent loop, context compaction, run-bounding, and step/audit instrumentation into one Run(ctx, RunnableAgent, inv) Result, with every host concern behind a nil-safe run.Ports (Audit/Budget/Critic/ Checkpointer/PaletteSource/Delivery). See examples/minimal.
  • model/ — config-driven tier resolution + failover over majordomo, with pluggable UsageSink/TraceSink and GenerateWith[T] structured output.
  • tool/ — the tool registry + 3-stage permission model + SSRF guard.
  • compact/ — the per-run context compactor.
  • lane/ — bounded worker pool with fair-share queueing (run- and provider-concurrency).
  • fanout/ — programmatic N×M swarm with bounded global + per-key concurrency.
  • config/, deliver/, identity/ — host seams (config / output / identity), each with a shipped default.
  • dispatchguard/, pendingattach/ — run-safety primitives.

Design

Two tiers in one module (go.mod = majordomo + stdlib only):

  • Core — everything a light host needs to be agentic: run loop, tool registry + common tools, model resolution, compaction, lanes, fan-out, structured output. No persistence, no scheduling.
  • Batteries (opt-in sibling packages) — persona/agent nouns, saved skills, audit, run-critic, scheduling, budgets, checkpointing. Each is nil-safe and ships a default, so you add only what you use.

Persistence that needs a real database lives in a separate nested module (contrib/store, pure-Go SQLite) so the core never drags in a DB driver — a static-binary host (gadfly) stays static.

License

TBD.