Comparison
contexto vs agent-kernel
Verdict
Pick contexto if contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · contexto alternatives · agent-kernel alternatives
GraphCanon updated Sep 27, 2026
vs
Trust & integrity
| Signal | contexto | agent-kernel |
|---|---|---|
| Maintenance | Slowing (100d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 27, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- contexto
- Context Engine for long-running AI agents
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- contexto
- 620
- agent-kernel
- 188
Forks
- contexto
- 22
- agent-kernel
- 86
Open issues
- contexto
- 21
- agent-kernel
- 137
Language
- contexto
- TypeScript
- agent-kernel
- Python
Adopt for
- contexto
- Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- contexto
- -
- agent-kernel
- -
Runtime
- contexto
- -
- agent-kernel
- -
License
- contexto
- Apache-2.0
- agent-kernel
- Apache-2.0
Last pushed
- contexto
- Jun 10, 2026
- agent-kernel
- Sep 11, 2026
Categories
- contexto
- AI Agents, Data & Retrieval
- agent-kernel
- AI Agents
Trust and health
Maintenance
- contexto
- Slowing (36%)
- agent-kernel
- Very active (96%)
Days since push
- contexto
- 100d
- agent-kernel
- 1d
Open issues (now)
- contexto
- 21
- agent-kernel
- 137
Stars delta
- contexto
- -7 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- contexto
- 0 (30d)
- agent-kernel
- +9 (30d)
Full report
- contexto
- Trust report
- agent-kernel
- Trust report
Choose contexto if…
- contexto is primarily TypeScript; agent-kernel is Python.
- Managed hosting is available, eliminating the need to run retrieval infrastructure yourself.
- Requirements: Built specifically for OpenClaw and Hermes..
- Tags unique to contexto: apache 2.0, context-engine, hermes, long-running agents.
- Also covers Data & Retrieval.
- contexto ships Docker support for self-hosted deployment.
- When you are developing long-running AI agents that require reliable context management.
When NOT to use contexto
- If your AI agent does not require long-term context management or operates in short sessions.
- When you are not using OpenClaw or Hermes and prefer a context engine that supports a wider range of frameworks.
- If you need full control over your retrieval infrastructure and prefer not to use managed hosting services.
Choose agent-kernel if…
- agent-kernel is primarily Python; contexto is TypeScript.
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ekailabs/contexto) · observed Sep 20, 2026
- GitHub forks (ekailabs/contexto) · observed Sep 20, 2026
- Last push (ekailabs/contexto) · observed Jun 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Sep 20, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Sep 20, 2026
- Last push (yaalalabs/agent-kernel) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Sep 27, 2026
GitHub stars on cards: contexto 620 · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between contexto and agent-kernel?
- contexto: Context Engine for long-running AI agents. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose contexto over agent-kernel?
- Choose contexto over agent-kernel when contexto is primarily TypeScript; agent-kernel is Python; Managed hosting is available, eliminating the need to run retrieval infrastructure yourself; Requirements: Built specifically for OpenClaw and Hermes.; Tags unique to contexto: apache 2.0, context-engine, hermes, long-running agents; Also covers Data & Retrieval; contexto ships Docker support for self-hosted deployment; When you are developing long-running AI agents that require reliable context management.
- When should I choose agent-kernel over contexto?
- Choose agent-kernel over contexto when agent-kernel is primarily Python; contexto is TypeScript; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- When should I avoid contexto?
- If your AI agent does not require long-term context management or operates in short sessions. When you are not using OpenClaw or Hermes and prefer a context engine that supports a wider range of frameworks. If you need full control over your retrieval infrastructure and prefer not to use managed hosting services.
- When should I avoid agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is contexto or agent-kernel more popular on GitHub?
- contexto has more GitHub stars (620 vs 188). Stars measure visibility, not whether either tool fits your constraints.
- Are contexto and agent-kernel open source?
- Yes - both are open-source projects on GitHub (contexto: Apache-2.0, agent-kernel: Apache-2.0).
- Where can I find alternatives to contexto or agent-kernel?
- GraphCanon lists graph-backed alternatives at contexto alternatives and agent-kernel alternatives (contexto markdown twin, agent-kernel markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, contexto or agent-kernel?
- contexto: Slowing. agent-kernel: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for contexto and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contexto trust report; agent-kernel trust report.