Home/Compare/agent-protocol vs contexto

Comparison

agent-protocol vs contexto

Verdict

Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; pick contexto if contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options.

Markdown twin · agent-protocol alternatives · contexto alternatives

GraphCanon updated Oct 8, 2026

15views this month

agent-protocol logo

agent-protocol

agi-inc/agent-protocol

★ 1.5kpushed Apr 8, 2025
vs
contexto logo

contexto

ekailabs/contexto

★ 620pushed Jun 10, 2026

Trust & integrity

Signalagent-protocolcontexto
Maintenance
Dormant (547d since push)
As of Oct 8, 2026 · github_public_v1
Slowing (100d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 8, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

agent-protocol
Common interface for AI agents
contexto
Context Engine for long-running AI agents

Stars

agent-protocol
1.5k
contexto
620

Forks

agent-protocol
189
contexto
22

Open issues

agent-protocol
50
contexto
21

Language

agent-protocol
Python
contexto
TypeScript

Adopt for

agent-protocol
agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
contexto
Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options.

Persona

agent-protocol
-
contexto
-

Runtime

agent-protocol
-
contexto
-

License

agent-protocol
MIT
contexto
Apache-2.0

Last pushed

agent-protocol
Apr 8, 2025
contexto
Jun 10, 2026

Categories

agent-protocol
AI Agents
contexto
AI Agents, Data & Retrieval

Trust and health

Maintenance

agent-protocol
Dormant (18%)
contexto
Slowing (36%)

Days since push

agent-protocol
547d
contexto
100d

Open issues (now)

agent-protocol
50
contexto
21

Stars delta

agent-protocol
+4 (30d)
contexto
-7 (30d)

Open issues delta

agent-protocol
+1 (30d)
contexto
0 (30d)

OSV dependency advisories

agent-protocol
Published findings
contexto
No lockfile (source not queried)

Full report

agent-protocol
Trust report
contexto
Trust report

Choose agent-protocol if…

  • agent-protocol is primarily Python; contexto is TypeScript.
  • License: agent-protocol is MIT, contexto is Apache-2.0.
  • Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt.
  • When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.

When NOT to use agent-protocol

  • If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope.
  • When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.

Choose contexto if…

  • contexto is primarily TypeScript; agent-protocol is Python.
  • License: contexto is Apache-2.0, agent-protocol is MIT.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-protocol 1.5k · contexto 620 (synced Oct 8, 2026).

Common questions

What is the difference between agent-protocol and contexto?
agent-protocol: Common interface for AI agents. contexto: Context Engine for long-running AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-protocol over contexto?
Choose agent-protocol over contexto when agent-protocol is primarily Python; contexto is TypeScript; License: agent-protocol is MIT, contexto is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
When should I choose contexto over agent-protocol?
Choose contexto over agent-protocol when contexto is primarily TypeScript; agent-protocol is Python; License: contexto is Apache-2.0, agent-protocol is MIT; 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 avoid agent-protocol?
If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
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.
Is agent-protocol or contexto more popular on GitHub?
agent-protocol has more GitHub stars (1,458 vs 620). Stars measure visibility, not whether either tool fits your constraints.
Are agent-protocol and contexto open source?
Yes - both are open-source projects on GitHub (agent-protocol: MIT, contexto: Apache-2.0).
Where can I find alternatives to agent-protocol or contexto?
GraphCanon lists graph-backed alternatives at agent-protocol alternatives and contexto alternatives (agent-protocol markdown twin, contexto 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, agent-protocol or contexto?
agent-protocol: Dormant. contexto: Slowing. 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 agent-protocol and contexto?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; contexto trust report.

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