Home/Compare/agent-protocol vs mengram

Comparison

agent-protocol vs mengram

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 mengram if mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and.

Markdown twin · agent-protocol alternatives · mengram alternatives

GraphCanon updated Oct 8, 2026

8views this month

agent-protocol logo

agent-protocol

agi-inc/agent-protocol

★ 1.5kpushed Apr 8, 2025
vs
mengram logo

mengram

alibaizhanov/mengram

★ 196pushed Sep 16, 2026

Trust & integrity

Signalagent-protocolmengram
Maintenance
Dormant (547d since push)
As of Oct 8, 2026 · github_public_v1
Very active (1d 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 · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
Published findings
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
mengram
Human-like memory for AI agents

Stars

agent-protocol
1.5k
mengram
196

Forks

agent-protocol
189
mengram
34

Open issues

agent-protocol
50
mengram
25

Language

agent-protocol
Python
mengram
Python

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.
mengram
mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a

Persona

agent-protocol
-
mengram
-

Runtime

agent-protocol
-
mengram
-

License

agent-protocol
MIT
mengram
Apache-2.0

Last pushed

agent-protocol
Apr 8, 2025
mengram
Sep 16, 2026

Categories

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

Trust and health

Maintenance

agent-protocol
Dormant (18%)
mengram
Very active (96%)

Days since push

agent-protocol
547d
mengram
1d

Open issues (now)

agent-protocol
50
mengram
25

Stars delta

agent-protocol
+4 (30d)
mengram
+12 (30d)

Open issues delta

agent-protocol
+1 (30d)
mengram
-2 (30d)

Owner type

agent-protocol
Organization
mengram
User

Full report

agent-protocol
Trust report

Choose agent-protocol if…

  • License: agent-protocol is MIT, mengram 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 mengram if…

  • License: mengram is Apache-2.0, agent-protocol is MIT.
  • Tags unique to mengram: agent-memory, ai-agents, ai-memory, claude-desktop.
  • Also covers Data & Retrieval.
  • mengram ships Docker support for self-hosted deployment.
  • When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.

When NOT to use mengram

  • If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary.
  • If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server.
  • For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial.
  • If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs.

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 · mengram 196 (synced Oct 8, 2026).

Common questions

What is the difference between agent-protocol and mengram?
agent-protocol: Common interface for AI agents. mengram: Human-like memory for AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-protocol over mengram?
Choose agent-protocol over mengram when License: agent-protocol is MIT, mengram 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 mengram over agent-protocol?
Choose mengram over agent-protocol when License: mengram is Apache-2.0, agent-protocol is MIT; Tags unique to mengram: agent-memory, ai-agents, ai-memory, claude-desktop; Also covers Data & Retrieval; mengram ships Docker support for self-hosted deployment; When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.
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 mengram?
If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs.
Is agent-protocol or mengram more popular on GitHub?
agent-protocol has more GitHub stars (1,458 vs 196). Stars measure visibility, not whether either tool fits your constraints.
Are agent-protocol and mengram open source?
Yes - both are open-source projects on GitHub (agent-protocol: MIT, mengram: Apache-2.0).
Where can I find alternatives to agent-protocol or mengram?
GraphCanon lists graph-backed alternatives at agent-protocol alternatives and mengram alternatives (agent-protocol markdown twin, mengram 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 mengram?
agent-protocol: Dormant. mengram: 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 agent-protocol and mengram?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; mengram trust report.

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