Not another chatbot.
See how Comis compares to typical AI agent platforms on security, architecture, channels, and trust.
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Security
Security-first, not security-later.
Most AI agents ship fast and bolt on security later - after the CVEs, after the breaches, after the exposed instances. Comis was designed around the question: what happens when an AI agent has real power and someone tries to abuse it?
Authentication
Typical AI agents
Often missing or optional. Many platforms ship with no auth, leaving agents accessible to anyone who finds the endpoint.
Comis
Required by default. mTLS gateway support, bearer token authentication. No open ports without explicit configuration.
Prompt injection
Typical AI agents
No detection. Agents blindly execute instructions embedded in fetched web pages, emails, or user-provided content.
Comis
48 attack patterns across 13 weighted categories detected and blocked. External content is marked and isolated. Agents can't be tricked into treating fetched text as instructions.
Memory safety
Typical AI agents
Single trust level. All memories treated equally - attackers can poison persistent memory to change agent behavior over time.
Comis
Trust-partitioned across three levels: system, learned, and external. Your instructions can't be overwritten by content from the internet.
Secrets management
Typical AI agents
Plaintext in config files. API keys leaked in logs, tool outputs, and chat responses.
Comis
AES-256 encrypted at rest. 18 log redaction rules. Secrets never appear in tool output, chat responses, or plaintext on disk.
Tool access control
Typical AI agents
Unchecked. Agents get shell access, file access, and API keys with no oversight or approval workflow.
Comis
Approval gates before destructive actions. Per-agent tool policies whitelist exactly which tools each agent can use.
Process isolation
Typical AI agents
None. Shell commands run with full host filesystem access. Agents can read any file on the system.
Comis
OS-level exec sandbox. Every shell command runs inside a kernel-enforced filesystem namespace (bubblewrap on Linux, sandbox-exec on macOS). Agents can only see their own workspace.
Skill safety
Typical AI agents
Install and hope. Community marketplaces where a significant percentage of packages contain vulnerabilities or data exfiltration.
Comis
Explicit skill allowlists per agent. Scope isolation. Skills can't escalate privileges or access tools outside their designated scope.
Network safety
Typical AI agents
No SSRF protection. Agents can be tricked into making requests to private networks, localhost, or cloud metadata endpoints.
Comis
Outbound requests to private networks, localhost, and cloud metadata endpoints are blocked. Network boundaries enforced by default.
Budget controls
Typical AI agents
No limits. A single runaway conversation or prompt injection can drain your entire API budget.
Comis
Per-agent daily token budgets. Circuit breakers halt execution when limits are reached. No surprises on your bill.
Audit trail
Typical AI agents
None. When something goes wrong, there's no record of what happened, which agent did it, or why.
Comis
Every security-relevant action logged and classified. Error kinds, action classifications, and trace IDs across every operation.
Architecture & Capabilities
Built different.
Beyond security, Comis rethinks how AI agents are built, configured, and used - from single-bot simplicity to multi-agent power.
Agent architecture
Typical AI agents
Single agent doing everything. One model, one context, one point of failure.
Comis
Multi-agent fleet. Each agent has its own model, memory, skills, and budget. Agents hand off work to each other.
Workflow orchestration
Typical AI agents
Simple linear chains or manual scripting.
Comis
DAG pipeline orchestration - parallel fan-out, barrier sync, scheduled triggers, channel delivery. Created via natural language.
Setup experience
Typical AI agents
Edit YAML config files. Read docs for an hour. Restart on every change.
Comis
Describe what you want in plain language. Comis creates agents, pipelines, and configurations autonomously.
Context management
Typical AI agents
Naive truncation. When the context window fills up, old messages are silently dropped. No compression, no recovery.
Comis
8-layer context pipeline with dead content eviction, observation masking, LLM compaction with 3-level fallback, and post-compaction rehydration. DAG mode for hierarchical summarization.
Memory
Typical AI agents
Session-based or simple key-value storage. Lost between restarts.
Comis
Persistent semantic memory with SQLite + FTS5 + vector search. Survives restarts. Trust-partitioned. RAG retrieval with provenance annotations.
Channels
Typical AI agents
Varies. Often limited to one or two platforms, or requires separate integrations.
Comis
9 platforms with full experience: Discord, Telegram, Slack, WhatsApp, Signal, iMessage, IRC, LINE, Email (IMAP/SMTP).
Model support
Typical AI agents
Often locked to one provider or requires significant reconfiguration to switch.
Comis
Any model, any provider - Claude, GPT, Gemini, Groq, Ollama, OpenRouter. Different agents can use different models. Switch anytime.
Tools
Typical AI agents
Built-in tools only, or complex plugin development.
Comis
50+ tools via MCP. GitHub, Gmail, Notion, PostgreSQL, browser automation, shell. One-line integration.
Media
Typical AI agents
Text-only or limited image support.
Comis
Voice notes, images, PDFs, files, speech synthesis, transcription, image generation - across all 9 channels.
Trust & Openness
Security through transparency.
You shouldn't have to trust a black box with your data, your tools, and your API keys. Comis is fully open - audit every line, run it on your infrastructure, own your data.
License
Typical AI agents
Closed source, or 'open core' with paywalled enterprise features.
Comis
Apache-2.0 licensed. Every line of code on GitHub. No paywalled features.
Telemetry
Typical AI agents
Often enabled by default. Usage data sent to vendor servers.
Comis
No telemetry you didn't ask for. Self-host with zero phone-home.
Cloud dependency
Typical AI agents
Requires vendor cloud infrastructure. Data passes through third-party servers.
Comis
Fully self-hosted. Runs on your machine, your server, your infrastructure. No cloud lock-in.
Codebase
Typical AI agents
Monolithic or poorly documented. Hard to audit or extend.
Comis
13-package TypeScript monorepo. Hexagonal architecture. Every function returns a typed Result. Fully documented.
The full picture.
Everything at a glance - 23 dimensions where Comis leads.
| Typical AI agents | Comis | |
|---|---|---|
| Authentication | Often missing or optional. | Required by default. |
| Prompt injection | No detection. | 48 attack patterns across 13 weighted categories detected and blocked. |
| Memory safety | Single trust level. | Trust-partitioned across three levels: system, learned, and external. |
| Secrets management | Plaintext in config files. | AES-256 encrypted at rest. |
| Tool access control | Unchecked. | Approval gates before destructive actions. |
| Process isolation | None. | OS-level exec sandbox. |
| Skill safety | Install and hope. | Explicit skill allowlists per agent. |
| Network safety | No SSRF protection. | Outbound requests to private networks, localhost, and cloud metadata endpoints are blocked. |
| Budget controls | No limits. | Per-agent daily token budgets. |
| Audit trail | None. | Every security-relevant action logged and classified. |
| Agent architecture | Single agent doing everything. | Multi-agent fleet. |
| Workflow orchestration | Simple linear chains or manual scripting. | DAG pipeline orchestration - parallel fan-out, barrier sync, scheduled triggers, channel delivery. |
| Setup experience | Edit YAML config files. | Describe what you want in plain language. |
| Context management | Naive truncation. | 8-layer context pipeline with dead content eviction, observation masking, LLM compaction with 3-level fallback, and post-compaction rehydration. |
| Memory | Session-based or simple key-value storage. | Persistent semantic memory with SQLite + FTS5 + vector search. |
| Channels | Varies. | 9 platforms with full experience: Discord, Telegram, Slack, WhatsApp, Signal, iMessage, IRC, LINE, Email (IMAP/SMTP). |
| Model support | Often locked to one provider or requires significant reconfiguration to switch. | Any model, any provider - Claude, GPT, Gemini, Groq, Ollama, OpenRouter. |
| Tools | Built-in tools only, or complex plugin development. | 50+ tools via MCP. |
| Media | Text-only or limited image support. | Voice notes, images, PDFs, files, speech synthesis, transcription, image generation - across all 9 channels. |
| License | Closed source, or 'open core' with paywalled enterprise features. | Apache-2. |
| Telemetry | Often enabled by default. | No telemetry you didn't ask for. |
| Cloud dependency | Requires vendor cloud infrastructure. | Fully self-hosted. |
| Codebase | Monolithic or poorly documented. | 13-package TypeScript monorepo. |
Ready to try something different?
Comis is free, open source, and takes four commands to set up.