8.0 KiB
8.0 KiB
Competitive Analysis — AI Agent Landscape
- Overview
- Category 1: Coding Agents
- Category 2: Personal AI Assistants
- Category 3: CI/Check Systems
- The Passepartout Advantage
- Where Competitors Lead
- Strategic Positioning
- Immediate Implications for Development
- File references
Overview
Analyzed 9 competitor codebases alongside Passepartout. The competitive landscape divides into three categories:
- Coding agents — Aider, OpenCode, Codex CLI, Claude Code, Gemini CLI
- Personal AI assistants — Hermes Agent, OpenClaw, Thoth
- CI/check-based systems — Continue
None of the nine compete with Passepartout on all axes simultaneously. Passepartout's strongest differentiators — Org-mode data model, deterministic gate stack, ACL2 verification, Merkle-treed memory, and the Passepartout architecture — are absent from every competitor.
Category 1: Coding Agents
- Aider — Python, ~40K lines, MIT. Oldest open-source coding agent. Chat-based Coder class with 5 edit formats. Purely prompt-based safety.
- OpenCode — TypeScript/Bun, 163K★. Dominant open-source coding agent. Dual LLM runtime, ACP inter-agent protocol, SQLite state.
- Codex CLI — Rust, ~950K lines, OpenAI. Strongest sandboxing (Seatbelt/nsjail). Execution policy engine. No knowledge graph.
- Claude Code — TypeScript/Bun, ~512K lines leaked. Most mature safety system (2,592 lines bash security). 7 permission modes. Proprietary.
- Gemini CLI — TypeScript, ~525K lines, Apache 2.0. CONSECA AI-driven policy generation. 6 sandbox methods. Google-locked.
Category 2: Personal AI Assistants
- Hermes Agent — Python, ~17K core, MIT. Running this conversation. 109+ providers, 15+ messaging platforms, MCP client. Heuristic safety layers.
- OpenClaw — TypeScript/Node.js, ~3.5M lines. Largest codebase. 25+ messaging channels, 135 bundled plugins. Tiered sandboxing.
- Thoth — Python, ~151K lines, Apache 2.0. Personal knowledge graph (11 entity types, 67 relations, NetworkX+FAISS). LangGraph ReAct agent. Developer Studio.
Category 3: CI/Check Systems
- Continue — TypeScript, ~328K lines, Apache 2.0. Source-controlled AI checks for CI/CD. Markdown-as-gate-policy. No persistent agent.
The Passepartout Advantage
| Dimension | Passepartout | Best Competitor | Gap |
|---|---|---|---|
| Safety model | Type-level gates + 11-vector deterministic stack | Claude Code (7 permission modes + 23 bash checks) | Structural vs heuristic. Passepartout's type-level gates prevent self-modification at the category level; competitors block patterns. |
| Knowledge model | Org-mode (tree, properties, TODOs, timestamps, cross-refs, IDs, tags) | Claude Code (flat markdown memdir) | Org-mode's semantic richness is ~15 primitives markdown doesn't have. |
| Memory integrity | Merkle tree + SHA-256 + rollback | Hermes (file-based); Claude Code (flat files + git) | Content-addressed, tamper-evident memory no competitor has. |
| Self-verification | ACL2 → CIC prover (planned) | None | No competitor does provable correctness. |
| Cognitive architecture | 10-80-10 symbolic-first (planned) | 100% LLM (every competitor) | Post-flip, Passepartout uses ~10% of the tokens competitors use. |
| Data format | Org-mode (human-editable, machine-parseable, single file) | JSONL/Markdown/YAML/DB (competitors use 2-5 formats) | Unified format reduces translation layers to zero. |
| Self-modification | Type-level gates + hot-reload | Claude Code (skills), Hermes (skills) | Passepartout's guard against self-modification is structural (type level), not heuristic (pattern list). |
| Architecture | Passepartout (environment subsystem + social protocol) | None | No competitor is building a full computing stack + social network. |
| Provider independence | Any OpenAI-compatible API | Hermes (109+), Gemini CLI (1 primary) | Comparable to Hermes, better than most. |
Where Competitors Lead
| Dimension | Leader | Passepartout Status |
|---|---|---|
| Safety implementation maturity | Claude Code (2,592 lines bash security) | Gate stack exists but bash validation is minimal in comparison |
| Provider breadth | Hermes (109+), OpenClaw (50+) | 8 providers — adequate but not competitive |
| Channel/platform support | OpenClaw (25+ channels) | TUI only — no multi-channel |
| Plugin ecosystem | OpenClaw (ClawHub, npm registry) | No plugin marketplace |
| Subagent delegation | Claude Code (fork with context inheritance) | Planned via Screamer planner |
| Codebase size / features shipped | All competitors have working products | In development |
| MCP integration | Hermes, Codex (native), Continue | Planned |
| Sandboxing | Codex CLI (Seatbelt+nsjail), Gemini CLI (6 methods) | None |
| Business model | Hermes (MIT+services), Codex (tokens) | AGPL + appliances + SaaS |
| Cross-platform | Claude Code (macOS/*nix), Codex (macOS) | Linux only |
Strategic Positioning
Passepartout is not competing in the existing AI agent market. It is building a new category: provable personal infrastructure.
Competitors optimize for:
- Token efficiency (Aider's edit formats, OpenCode's LSP integration)
- Model flexibility (Hermes' 109 providers)
- Platform reach (OpenClaw's 25 channels)
- UI polish (Gemini CLI's Ink/React, Claude Code's permission dialogs)
- Sandbox security (Codex's Seatbelt, Gemini's gVisor)
Passepartout optimizes for:
- Provable correctness (ACL2 → CIC)
- Data integrity (Merkle tree)
- Cognitive architecture (10-80-10 symbolic-first)
- Safety by construction (type-level gates)
- Unified data model (Org-mode as everything)
- Network effects (social protocol)
- Full-stack ownership (environment subsystem)
These are not axes any competitor cares about. The risk is not that a competitor builds a better Passepartout — it's that the market never develops a preference for provable agents. If token-burning LLM agents remain the default and users don't demand verification, the entire category Passepartout addresses may not exist yet.
Immediate Implications for Development
- Claude Code's safety system is the benchmark to exceed. The type-level gate architecture is theoretically superior to Claude Code's heuristic patterns, but the implementation needs to prove it catches things Claude Code misses.
- No competitor has anything resembling a neurosymbolic architecture. The 10-80-10 plan has zero competition — but that also means zero market validation.
- The Org-mode bet is invisible to competitors. They don't see the advantage because they've never tried to build a knowledge graph from flat markdown files. This is Passepartout's widest moat — it depends on a skill (Org-mode literate programming) that no competitor's team has.
- Hermes is the closest full-stack competitor (tools, skills, cron, subagents, multi-platform), but architecturally conventional.
- The coding agents (Aider, OpenCode, Codex) are not competitors — they are single-purpose tools Passepartout could eventually replace entirely when the planner matures.
File references
Repository dumps and analysis artifacts at tmp:
- tmp/aider — Aider source (Python)
- tmp/opencode — OpenCode archived source
- tmp/codex — OpenAI Codex CLI (Rust)
- tmp/claude-code-leaked-source — Claude Code leaked (TypeScript/Bun)
- tmp/gemini-cli — Google Gemini CLI (TypeScript)
- tmp/openclaw — OpenClaw source (TypeScript)
- tmp/thoth — Thoth source (Python)
- tmp/continue — Continue source (TypeScript)
- usr/local/lib/hermes-agent — Hermes Agent (Python)